20260820 original revenue

What quantum companies actually sell: revenue masks the true state of commercialization

  • Quantinuum Q2 2026 revenue up 279% year over year; announces Helios logical fidelity
  • Rigetti Q2 2026 revenue $5.1M; publishes performance of 108-qubit machine
  • D-Wave Q2 2026 revenue $3.1M; first-half bookings increased more than twelvefold
  • IonQ, Q2 2026 revenue up 287% year over year; raises full-year guidance
  • Infleqtion corrects Q2 2026 revenue to $13.5M; raises full-year outlook
  • Quantinuum Q2 2026 revenue up 279% year over year; announces Helios logical fidelity
  • Rigetti Q2 2026 revenue $5.1M; publishes performance of 108-qubit machine
  • D-Wave Q2 2026 revenue $3.1M; first-half bookings increased more than twelvefold
  • developing algorithms to prepare for the future
  • experimentally using quantum computers on the cloud
  • purchasing quantum sensingQuantum Sensing / Quantum SensingTechnology that utilizes quantum phenomena such as superposition and quantum interference to measure magnetic fields, time, gravity, and other quantities with high sensitivity.QI NoteA field of quantum technology distinct from quantum computing; practical implementations already exist. When evaluating performance, check sensitivity, resolution, and the measurement environment. or communications products rather than quantum compute
  • Any of these activities can qualify a firm as a commercial customer.

    That is entirely different from saying a quantum computer is integrated into a company’s daily operational systems and continuously delivering superior economic value over classical methods.

    Current quantum computers still face substantial limitations in performance, error rates, problem size, and cost.

    At present, cases where one can externally verify that quantum computing has demonstrated clear economic advantage over classical computingClassical Computing / Classical Computation / Classical Computing / Classical ComputationA computation method that uses bits of 0 and 1; the form of computation performed by the computers commonly used today.QI NoteUsed as a point of comparison with quantum computing, but it can encompass CPUs, GPUs, supercomputers, and specialized algorithms, so care should be taken about the conditions of comparison. and that companies are paying recurring fees for that reason are virtually non-existent. Although D-Wave and others have published multiple “production applications,” the degree to which QPUs contribute within quantum-classical hybrid processing or the associated economic superiority over traditional methods has not been made fully transparent.

    Therefore, when companies announce “commercial customers are increasing,”

    it is best not to interpret that as “quantum computers have begun to be commonly used in enterprise production.”

    Having commercial customers is not the same as proving quantum computers’ commercial value.

    Revenue growth is not the same as practical quantum computing

    Quantum companies are already generating revenue.

    But that revenue comprises hardware sales, government contracts, PoCs, joint research, cloud usage, sensing, and communications.

    What quantum companies are earning and whether quantum computers have become a technology that earns money in production are still not the same thing.

    To assess the current state of commercialization, one should look less at headline revenue and more at who is paying, for what, and whether the payments are ongoing.

    Related articles

  • conducting joint research
  • developing algorithms to prepare for the future
  • experimentally using quantum computers on the cloud
  • purchasing quantum sensing or communications products rather than quantum compute
  • Any of these activities can qualify a firm as a commercial customer.

    That is entirely different from saying a quantum computer is integrated into a company’s daily operational systems and continuously delivering superior economic value over classical methods.

    Current quantum computers still face substantial limitations in performance, error rates, problem size, and cost.

    At present, cases where one can externally verify that quantum computing has demonstrated clear economic advantage over classical computing and that companies are paying recurring fees for that reason are virtually non-existent. Although D-Wave and others have published multiple “production applications,” the degree to which QPUs contribute within quantum-classical hybrid processing or the associated economic superiority over traditional methods has not been made fully transparent.

    Therefore, when companies announce “commercial customers are increasing,”

    it is best not to interpret that as “quantum computers have begun to be commonly used in enterprise production.”

    Having commercial customers is not the same as proving quantum computers’ commercial value.

    Revenue growth is not the same as practical quantum computing

    Quantum companies are already generating revenue.

    But that revenue comprises hardware sales, government contracts, PoCs, joint research, cloud usage, sensing, and communications.

    What quantum companies are earning and whether quantum computers have become a technology that earns money in production are still not the same thing.

    To assess the current state of commercialization, one should look less at headline revenue and more at who is paying, for what, and whether the payments are ongoing.

    Related articles

  • running a proof of concept (PoC)
  • conducting joint research
  • developing algorithms to prepare for the future
  • experimentally using quantum computers on the cloud
  • purchasing quantum sensing or communications products rather than quantum compute
  • Any of these activities can qualify a firm as a commercial customer.

    That is entirely different from saying a quantum computer is integrated into a company’s daily operational systems and continuously delivering superior economic value over classical methods.

    Current quantum computers still face substantial limitations in performance, error rates, problem size, and cost.

    At present, cases where one can externally verify that quantum computing has demonstrated clear economic advantage over classical computing and that companies are paying recurring fees for that reason are virtually non-existent. Although D-Wave and others have published multiple “production applications,” the degree to which QPUs contribute within quantum-classical hybrid processing or the associated economic superiority over traditional methods has not been made fully transparent.

    Therefore, when companies announce “commercial customers are increasing,”

    it is best not to interpret that as “quantum computers have begun to be commonly used in enterprise production.”

    Having commercial customers is not the same as proving quantum computers’ commercial value.

    Revenue growth is not the same as practical quantum computing

    Quantum companies are already generating revenue.

    But that revenue comprises hardware sales, government contracts, PoCs, joint research, cloud usage, sensing, and communications.

    What quantum companies are earning and whether quantum computers have become a technology that earns money in production are still not the same thing.

    To assess the current state of commercialization, one should look less at headline revenue and more at who is paying, for what, and whether the payments are ongoing.

    Related articles

  • evaluating a quantum computer’s performance
  • running a proof of concept (PoC)
  • conducting joint research
  • developing algorithms to prepare for the future
  • experimentally using quantum computers on the cloud
  • purchasing quantum sensing or communications products rather than quantum compute
  • Any of these activities can qualify a firm as a commercial customer.

    That is entirely different from saying a quantum computer is integrated into a company’s daily operational systems and continuously delivering superior economic value over classical methods.

    Current quantum computers still face substantial limitations in performance, error rates, problem size, and cost.

    At present, cases where one can externally verify that quantum computing has demonstrated clear economic advantage over classical computing and that companies are paying recurring fees for that reason are virtually non-existent. Although D-Wave and others have published multiple “production applications,” the degree to which QPUs contribute within quantum-classical hybrid processing or the associated economic superiority over traditional methods has not been made fully transparent.

    Therefore, when companies announce “commercial customers are increasing,”

    it is best not to interpret that as “quantum computers have begun to be commonly used in enterprise production.”

    Having commercial customers is not the same as proving quantum computers’ commercial value.

    Revenue growth is not the same as practical quantum computing

    Quantum companies are already generating revenue.

    But that revenue comprises hardware sales, government contracts, PoCs, joint research, cloud usage, sensing, and communications.

    What quantum companies are earning and whether quantum computers have become a technology that earns money in production are still not the same thing.

    To assess the current state of commercialization, one should look less at headline revenue and more at who is paying, for what, and whether the payments are ongoing.

    Related articles

    • evaluating a quantum computer’s performance
    • running a proof of concept (PoC)
    • conducting joint research
    • developing algorithms to prepare for the future
    • experimentally using quantum computers on the cloud
    • purchasing quantum sensing or communications products rather than quantum compute

    Any of these activities can qualify a firm as a commercial customer.

    That is entirely different from saying a quantum computer is integrated into a company’s daily operational systems and continuously delivering superior economic value over classical methods.

    Current quantum computers still face substantial limitations in performance, error rates, problem size, and cost.

    At present, cases where one can externally verify that quantum computing has demonstrated clear economic advantage over classical computing and that companies are paying recurring fees for that reason are virtually non-existent. Although D-Wave and others have published multiple “production applications,” the degree to which QPUs contribute within quantum-classical hybrid processing or the associated economic superiority over traditional methods has not been made fully transparent.

    Therefore, when companies announce “commercial customers are increasing,”

    it is best not to interpret that as “quantum computers have begun to be commonly used in enterprise production.”

    Having commercial customers is not the same as proving quantum computers’ commercial value.

    Revenue growth is not the same as practical quantum computing

    Quantum companies are already generating revenue.

    But that revenue comprises hardware sales, government contracts, PoCs, joint research, cloud usage, sensing, and communications.

    What quantum companies are earning and whether quantum computers have become a technology that earns money in production are still not the same thing.

    To assess the current state of commercialization, one should look less at headline revenue and more at who is paying, for what, and whether the payments are ongoing.

    Related articles

    • evaluating a quantum computer’s performance
    • running a proof of concept (PoC)
    • conducting joint research
    • developing algorithms to prepare for the future
    • experimentally using quantum computers on the cloud
    • purchasing quantum sensing or communications products rather than quantum compute

    Any of these activities can qualify a firm as a commercial customer.

    That is entirely different from saying a quantum computer is integrated into a company’s daily operational systems and continuously delivering superior economic value over classical methods.

    Current quantum computers still face substantial limitations in performance, error rates, problem size, and cost.

    At present, cases where one can externally verify that quantum computing has demonstrated clear economic advantage over classical computing and that companies are paying recurring fees for that reason are virtually non-existent. Although D-Wave and others have published multiple “production applications,” the degree to which QPUs contribute within quantum-classical hybrid processing or the associated economic superiority over traditional methods has not been made fully transparent.

    Therefore, when companies announce “commercial customers are increasing,”

    it is best not to interpret that as “quantum computers have begun to be commonly used in enterprise production.”

    Having commercial customers is not the same as proving quantum computers’ commercial value.

    Revenue growth is not the same as practical quantum computing

    Quantum companies are already generating revenue.

    But that revenue comprises hardware sales, government contracts, PoCs, joint research, cloud usage, sensing, and communications.

    What quantum companies are earning and whether quantum computers have become a technology that earns money in production are still not the same thing.

    To assess the current state of commercialization, one should look less at headline revenue and more at who is paying, for what, and whether the payments are ongoing.

    Related articles

    Quantum companies’ revenues have started to rise.

    In Q2 2026, IonQ reported $80.10 million (about ¥12.7 billion), Infleqtion reported $13.50 million (about ¥2.1 billion), Quantinuum reported $8.00 million (about ¥1.27 billion), Rigetti Computing reported $5.10 million (about ¥810 million), and D-Wave Quantum reported $3.10 million (about ¥490 million) in revenue.

    IonQ grew 287% year over year, Quantinuum 279%, and Infleqtion 157%. Looking at the raw numbers, it can appear that the quantum-computing market is rapidly commercializing and monetizing.

    However, what exactly are quantum companies selling to generate these revenues?

    Is it quantum compute time? Physical hardware? Government R&D contracts? Quantum sensing or communications?

    Tracing the current revenue structures of major quantum firms shows that the phrase “commercialization of the quantum market” often contains very different realities than the commonly imagined ‘‘commercialization of quantum computers’’.

    *Currency conversions are approximate, using an exchange rate of $1 ≈ ¥159 as of August 20, 2026.

    IonQ — the $12.7 billion quarter is not purely “quantum compute fees”

    IonQ stands out in Q2 2026.

    Revenue was $80.10 million (about ¥12.7 billion), roughly four times year-over-year and far above other pure-play quantum companies.

    However, it would be inaccurate to interpret this number as “IonQ’s quantum computers were used for about ¥12.7 billion worth of compute.”

    IonQ is no longer a company that only does quantum computing.

    Through successive acquisitions, the company has expanded into quantum networking, quantum security, sensing, photonics, and space-related technologies.

    For Q2 the company said roughly 25% of revenue came from customers using multiple product categories. About 60% of revenue was classified as “commercial,” but the scope of that commercial business has broadened significantly compared with the past.

    The company attributes revenue growth to Tempo quantum computer deployments and cloud usage, as well as demand across its broader “quantum platform.”

    In other words, IonQ’s current revenue should be viewed as

    quantum computing + quantum networking + security + sensing + other quantum-related businesses

    combined.

    While revenue is clearly growing rapidly, that growth alone no longer lets you infer the commercial demand for quantum computers themselves.

    Infleqtion — all quantum, but government contracts remain central

    Infleqtion is also interesting.

    Q2 2026 revenue was $13.50 million (about ¥2.1 billion), a 157% year-over-year increase. The company emphasized that this revenue was “100% organic and entirely from quantum.”

    Unlike IonQ, its growth is not being boosted by acquired non-quantum businesses.

    But “entirely quantum” is not the same as “revenue from commercial use of quantum computers.”

    Infleqtion develops the neutral-atom quantum computer “Sqale,” but it also has significant business lines in atomic clocks and quantum sensing.

    Moreover, government contracts play a large role in the company’s revenue. For example, Infleqtion has a $20 million (about ¥3.18 billion) contract with NASA to develop a spaceborne quantum gravity gradiometer. In Q1 2026 that NASA contract alone increased year-over-year revenue by about $4.0 million (about ¥640 million). The company has also derived revenue from the U.S. Department of Defense, the U.S. Army, the European Space Agency, and Japanese government projects.

    Infleqtion’s revenue is certainly “quantum,” but it includes

    quantum computing, quantum sensing, atomic clocks, and government R&D

    all together.

    Again, revenue from a quantum company should be distinguished from revenue specifically generated by commercial use of quantum computers.

    D-Wave — selling a single machine can change the financials

    D-Wave is one of the clearest examples of the current market structure.

    Q2 2026 revenue was $3.10 million (about ¥490 million), roughly flat year-over-year.

    However, first-half 2025 revenue was $18.10 million (about ¥2.88 billion), while first-half 2026 revenue was $5.90 million (about ¥940 million) — a 67% decline.

    The reason is simple: in the first half of 2025 D-Wave recorded a $13.70 million (about ¥2.18 billion) sale of a quantum computer. Selling one large quantum machine can materially swing annual or quarterly revenue for today’s quantum companies.

    D-Wave also offers a cloud service, Leap, as Quantum Computing as a Service (QCaaS).

    Of Leap’s QCaaS revenue in H1 2026, $1.30 million (about ¥210 million) was classified by D-Wave as revenue from “production applications,” representing 37.3% of total QCaaS revenue. In the prior-year period that figure was $0.30 million (about ¥48 million), or 9.8%.

    On the surface, those numbers suggest that production use of quantum computers is expanding. But this interpretation requires caution.

    Leap provides both direct QPUQuantum Processor / Quantum Processor / Quantum Processing Unit / QPUThe central part of the hardware that houses qubits and performs quantum computational operations such as quantum gates and measurements.QI NoteThe performance of a QPU cannot be judged by the number of qubits alone. Gate fidelity, connectivity, speed, error rates, and other factors must be considered together. access and quantum-classical hybrid solvers. The internal workings of the latter are a black box to users: external observers cannot verify whether a QPU was actually used for a given calculation, or to what extent a QPU contributed to the result.

    What these figures do indicate is that D-Wave’s optimization services classified as “production” are being used. They do not definitively quantify the commercial value of the QPU itself.

    D-Wave’s current revenue model combines

    hardware sales + cloud usage + professional services

    with multiple models coexisting.

    Particularly, QCaaS “production” revenue should be read separately from metrics that would directly prove the QPU’s commercial usage.

    Rigetti — selling QPUs as well as offering cloud access

    Rigetti has also broadened how it generates revenue in recent years.

    Q2 2026 revenue was $5.10 million (about ¥810 million). The company attributes revenue growth to sales of the nine-qubitQubit / Quantum Bit / QubitThe basic unit of information in a quantum computer. It can represent not only 0 or 1 but also a quantum state that is a superposition of them.QI NoteHaving more qubits does not necessarily mean higher performance. Error rates, connectivity, coherence time, and the number of logical qubits are also important. Novera quantum computing system and related products.

    Historically Rigetti provided quantum computing through its cloud QCS and via platforms such as Amazon BraketAmazon BraketA quantum computing service provided by AWS. It enables access to quantum computers and simulators of multiple architectures via the cloud.QI NoteIt is not the name of a single quantum computer owned by Amazon itself, but a platform for accessing hardware from multiple vendors and architectures. When viewing experimental results, check the specific device and architecture that were actually used. and Microsoft Azure Quantum.

    More recently, however, sales of QPUs and on-premises quantum systems directly to universities, research institutions, and HPC centers have become notable.

    For example, in Q1 2026 Rigetti sold and shipped a Novera QPU to the University of Saskatchewan in Canada. It is also delivering systems to India’s C-DAC and the Pittsburgh Supercomputing Center.

    What customers are buying in these cases is less a service that accelerates existing business processes and more research equipment to study and validate quantum computers themselves.

    More hardware sales will raise revenue, but that should not automatically be interpreted as equivalent to widespread industrial demand for quantum computation.

    Quantinuum — continuous cloud access as a different model

    Quantinuum presents a somewhat different case.

    Q2 2026 revenue was $8.00 million (about ¥1.27 billion), a 279% year-over-year increase.

    Notably, Quantinuum cites cloud business as the primary driver of its revenue growth.

    Unlike hardware sales or government contracts, cloud usage can build recurring revenue as long as customers keep using it. However, increased cloud usage does not necessarily mean those computations are generating economic value in customers’ production workflows — research, evaluation, and algorithm development are included.

    Still, how far a model that sells continued access to quantum compute capacity rather than the machines themselves can scale will be an important indicator of commercialization in the quantum industry.

    The same “revenue” can mean very different things

    Summarizing so far, current quantum-company revenue falls into at least the following categories.

    Type of revenueTypical examplesCharacteristics
    Sales of quantum computer hardwareD-Wave, RigettiSingle sales can be large, but revenue timing is project-dependent
    Cloud compute usageQuantinuum, D-Wave, IonQ, RigettiCan become recurring/stock-like if usage is sustained
    Government and R&D contractsInfleqtion, etc.A major source of demand in today’s quantum industry
    Quantum sensing and communicationsIonQ, InfleqtionMarkets outside quantum computing
    Professional services and joint researchVarious firmsPoCs, algorithm development, deployment support, etc.

    On the books, these are all simply revenue.

    But their implications for the industry’s maturity are quite different.

    For example, if a research institution buys a $20 million (about ¥3.18 billion) quantum computer, the manufacturer records about ¥3.18 billion in revenue.

    However, that does not necessarily mean that

    “the quantum computer was purchased because using it will generate more than ¥3.18 billion in economic value”

    It might have been bought as research equipment.

    It might be for national strategy reasons, to maintain domestic quantum computing capability.

    Or it might be an R&D investment to prepare for the future.

    Conversely, if a company pays monthly for quantum compute services and continuously reduces logistics or production costs as a result, the same revenue figure has a very different meaning.

    “Commercial customer” does not mean “a company using quantum computers in production”

    This point deserves special attention when assessing the current quantum industry.

    Quantum companies often report revenue from “commercial customers” or “commercial revenue.”

    D-Wave said 62.4% of Q2 2026 revenue came from commercial customers. IonQ also reports about 60% commercial revenue.

    From the headline numbers, one might conclude

    “Sixty percent of revenue comes from private companies using quantum computers in production.”

    But reading it that way today is almost certainly misleading.

    “Commercial customer” simply denotes a non-government, non-research institutional customer.

    Such a customer may be:

    • evaluating a quantum computer’s performance
    • running a proof of concept (PoC)
    • conducting joint research
    • developing algorithms to prepare for the future
    • experimentally using quantum computers on the cloud
    • purchasing quantum sensing or communications products rather than quantum compute

    Any of these activities can qualify a firm as a commercial customer.

    That is entirely different from saying a quantum computer is integrated into a company’s daily operational systems and continuously delivering superior economic value over classical methods.

    Current quantum computers still face substantial limitations in performance, error rates, problem size, and cost.

    At present, cases where one can externally verify that quantum computing has demonstrated clear economic advantage over classical computing and that companies are paying recurring fees for that reason are virtually non-existent. Although D-Wave and others have published multiple “production applications,” the degree to which QPUs contribute within quantum-classical hybrid processing or the associated economic superiority over traditional methods has not been made fully transparent.

    Therefore, when companies announce “commercial customers are increasing,”

    it is best not to interpret that as “quantum computers have begun to be commonly used in enterprise production.”

    Having commercial customers is not the same as proving quantum computers’ commercial value.

    Revenue growth is not the same as practical quantum computing

    Quantum companies are already generating revenue.

    But that revenue comprises hardware sales, government contracts, PoCs, joint research, cloud usage, sensing, and communications.

    What quantum companies are earning and whether quantum computers have become a technology that earns money in production are still not the same thing.

    To assess the current state of commercialization, one should look less at headline revenue and more at who is paying, for what, and whether the payments are ongoing.

    Related articles

  • IonQ, Q2 2026 revenue up 287% year over year; raises full-year guidance
  • Infleqtion corrects Q2 2026 revenue to $13.5M; raises full-year outlook
  • Quantinuum Q2 2026 revenue up 279% year over year; announces Helios logical fidelity
  • Rigetti Q2 2026 revenue $5.1M; publishes performance of 108-qubit machine
  • D-Wave Q2 2026 revenue $3.1M; first-half bookings increased more than twelvefold
  • Quantum companies’ revenues have started to rise.

    In Q2 2026, IonQ reported $80.10 million (about ¥12.7 billion), Infleqtion reported $13.50 million (about ¥2.1 billion), Quantinuum reported $8.00 million (about ¥1.27 billion), Rigetti Computing reported $5.10 million (about ¥810 million), and D-Wave Quantum reported $3.10 million (about ¥490 million) in revenue.

    IonQ grew 287% year over year, Quantinuum 279%, and Infleqtion 157%. Looking at the raw numbers, it can appear that the quantum-computing market is rapidly commercializing and monetizing.

    However, what exactly are quantum companies selling to generate these revenues?

    Is it quantum compute time? Physical hardware? Government R&D contracts? Quantum sensing or communications?

    Tracing the current revenue structures of major quantum firms shows that the phrase “commercialization of the quantum market” often contains very different realities than the commonly imagined ‘‘commercialization of quantum computers’’.

    *Currency conversions are approximate, using an exchange rate of $1 ≈ ¥159 as of August 20, 2026.

    IonQ — the $12.7 billion quarter is not purely “quantum compute fees”

    IonQ stands out in Q2 2026.

    Revenue was $80.10 million (about ¥12.7 billion), roughly four times year-over-year and far above other pure-play quantum companies.

    However, it would be inaccurate to interpret this number as “IonQ’s quantum computers were used for about ¥12.7 billion worth of compute.”

    IonQ is no longer a company that only does quantum computing.

    Through successive acquisitions, the company has expanded into quantum networking, quantum security, sensing, photonics, and space-related technologies.

    For Q2 the company said roughly 25% of revenue came from customers using multiple product categories. About 60% of revenue was classified as “commercial,” but the scope of that commercial business has broadened significantly compared with the past.

    The company attributes revenue growth to Tempo quantum computer deployments and cloud usage, as well as demand across its broader “quantum platform.”

    In other words, IonQ’s current revenue should be viewed as

    quantum computing + quantum networking + security + sensing + other quantum-related businesses

    combined.

    While revenue is clearly growing rapidly, that growth alone no longer lets you infer the commercial demand for quantum computers themselves.

    Infleqtion — all quantum, but government contracts remain central

    Infleqtion is also interesting.

    Q2 2026 revenue was $13.50 million (about ¥2.1 billion), a 157% year-over-year increase. The company emphasized that this revenue was “100% organic and entirely from quantum.”

    Unlike IonQ, its growth is not being boosted by acquired non-quantum businesses.

    But “entirely quantum” is not the same as “revenue from commercial use of quantum computers.”

    Infleqtion develops the neutral-atom quantum computer “Sqale,” but it also has significant business lines in atomic clocks and quantum sensing.

    Moreover, government contracts play a large role in the company’s revenue. For example, Infleqtion has a $20 million (about ¥3.18 billion) contract with NASA to develop a spaceborne quantum gravity gradiometer. In Q1 2026 that NASA contract alone increased year-over-year revenue by about $4.0 million (about ¥640 million). The company has also derived revenue from the U.S. Department of Defense, the U.S. Army, the European Space Agency, and Japanese government projects.

    Infleqtion’s revenue is certainly “quantum,” but it includes

    quantum computing, quantum sensing, atomic clocks, and government R&D

    all together.

    Again, revenue from a quantum company should be distinguished from revenue specifically generated by commercial use of quantum computers.

    D-Wave — selling a single machine can change the financials

    D-Wave is one of the clearest examples of the current market structure.

    Q2 2026 revenue was $3.10 million (about ¥490 million), roughly flat year-over-year.

    However, first-half 2025 revenue was $18.10 million (about ¥2.88 billion), while first-half 2026 revenue was $5.90 million (about ¥940 million) — a 67% decline.

    The reason is simple: in the first half of 2025 D-Wave recorded a $13.70 million (about ¥2.18 billion) sale of a quantum computer. Selling one large quantum machine can materially swing annual or quarterly revenue for today’s quantum companies.

    D-Wave also offers a cloud service, Leap, as Quantum Computing as a Service (QCaaS).

    Of Leap’s QCaaS revenue in H1 2026, $1.30 million (about ¥210 million) was classified by D-Wave as revenue from “production applications,” representing 37.3% of total QCaaS revenue. In the prior-year period that figure was $0.30 million (about ¥48 million), or 9.8%.

    On the surface, those numbers suggest that production use of quantum computers is expanding. But this interpretation requires caution.

    Leap provides both direct QPU access and quantum-classical hybrid solvers. The internal workings of the latter are a black box to users: external observers cannot verify whether a QPU was actually used for a given calculation, or to what extent a QPU contributed to the result.

    What these figures do indicate is that D-Wave’s optimization services classified as “production” are being used. They do not definitively quantify the commercial value of the QPU itself.

    D-Wave’s current revenue model combines

    hardware sales + cloud usage + professional services

    with multiple models coexisting.

    Particularly, QCaaS “production” revenue should be read separately from metrics that would directly prove the QPU’s commercial usage.

    Rigetti — selling QPUs as well as offering cloud access

    Rigetti has also broadened how it generates revenue in recent years.

    Q2 2026 revenue was $5.10 million (about ¥810 million). The company attributes revenue growth to sales of the nine-qubit Novera quantum computing system and related products.

    Historically Rigetti provided quantum computing through its cloud QCS and via platforms such as Amazon Braket and Microsoft Azure Quantum.

    More recently, however, sales of QPUs and on-premises quantum systems directly to universities, research institutions, and HPC centers have become notable.

    For example, in Q1 2026 Rigetti sold and shipped a Novera QPU to the University of Saskatchewan in Canada. It is also delivering systems to India’s C-DAC and the Pittsburgh Supercomputing Center.

    What customers are buying in these cases is less a service that accelerates existing business processes and more research equipment to study and validate quantum computers themselves.

    More hardware sales will raise revenue, but that should not automatically be interpreted as equivalent to widespread industrial demand for quantum computation.

    Quantinuum — continuous cloud access as a different model

    Quantinuum presents a somewhat different case.

    Q2 2026 revenue was $8.00 million (about ¥1.27 billion), a 279% year-over-year increase.

    Notably, Quantinuum cites cloud business as the primary driver of its revenue growth.

    Unlike hardware sales or government contracts, cloud usage can build recurring revenue as long as customers keep using it. However, increased cloud usage does not necessarily mean those computations are generating economic value in customers’ production workflows — research, evaluation, and algorithm development are included.

    Still, how far a model that sells continued access to quantum compute capacity rather than the machines themselves can scale will be an important indicator of commercialization in the quantum industry.

    The same “revenue” can mean very different things

    Summarizing so far, current quantum-company revenue falls into at least the following categories.

    Type of revenueTypical examplesCharacteristics
    Sales of quantum computer hardwareD-Wave, RigettiSingle sales can be large, but revenue timing is project-dependent
    Cloud compute usageQuantinuum, D-Wave, IonQ, RigettiCan become recurring/stock-like if usage is sustained
    Government and R&D contractsInfleqtion, etc.A major source of demand in today’s quantum industry
    Quantum sensing and communicationsIonQ, InfleqtionMarkets outside quantum computing
    Professional services and joint researchVarious firmsPoCs, algorithm development, deployment support, etc.

    On the books, these are all simply revenue.

    But their implications for the industry’s maturity are quite different.

    For example, if a research institution buys a $20 million (about ¥3.18 billion) quantum computer, the manufacturer records about ¥3.18 billion in revenue.

    However, that does not necessarily mean that

    “the quantum computer was purchased because using it will generate more than ¥3.18 billion in economic value”

    It might have been bought as research equipment.

    It might be for national strategy reasons, to maintain domestic quantum computing capability.

    Or it might be an R&D investment to prepare for the future.

    Conversely, if a company pays monthly for quantum compute services and continuously reduces logistics or production costs as a result, the same revenue figure has a very different meaning.

    “Commercial customer” does not mean “a company using quantum computers in production”

    This point deserves special attention when assessing the current quantum industry.

    Quantum companies often report revenue from “commercial customers” or “commercial revenue.”

    D-Wave said 62.4% of Q2 2026 revenue came from commercial customers. IonQ also reports about 60% commercial revenue.

    From the headline numbers, one might conclude

    “Sixty percent of revenue comes from private companies using quantum computers in production.”

    But reading it that way today is almost certainly misleading.

    “Commercial customer” simply denotes a non-government, non-research institutional customer.

    Such a customer may be:

    • evaluating a quantum computer’s performance
    • running a proof of concept (PoC)
    • conducting joint research
    • developing algorithms to prepare for the future
    • experimentally using quantum computers on the cloud
    • purchasing quantum sensing or communications products rather than quantum compute

    Any of these activities can qualify a firm as a commercial customer.

    That is entirely different from saying a quantum computer is integrated into a company’s daily operational systems and continuously delivering superior economic value over classical methods.

    Current quantum computers still face substantial limitations in performance, error rates, problem size, and cost.

    At present, cases where one can externally verify that quantum computing has demonstrated clear economic advantage over classical computing and that companies are paying recurring fees for that reason are virtually non-existent. Although D-Wave and others have published multiple “production applications,” the degree to which QPUs contribute within quantum-classical hybrid processing or the associated economic superiority over traditional methods has not been made fully transparent.

    Therefore, when companies announce “commercial customers are increasing,”

    it is best not to interpret that as “quantum computers have begun to be commonly used in enterprise production.”

    Having commercial customers is not the same as proving quantum computers’ commercial value.

    Revenue growth is not the same as practical quantum computing

    Quantum companies are already generating revenue.

    But that revenue comprises hardware sales, government contracts, PoCs, joint research, cloud usage, sensing, and communications.

    What quantum companies are earning and whether quantum computers have become a technology that earns money in production are still not the same thing.

    To assess the current state of commercialization, one should look less at headline revenue and more at who is paying, for what, and whether the payments are ongoing.

    Related articles

    Quantum companies’ revenues have started to rise.

    In Q2 2026, IonQ reported $80.10 million (about ¥12.7 billion), Infleqtion reported $13.50 million (about ¥2.1 billion), Quantinuum reported $8.00 million (about ¥1.27 billion), Rigetti Computing reported $5.10 million (about ¥810 million), and D-Wave Quantum reported $3.10 million (about ¥490 million) in revenue.

    IonQ grew 287% year over year, Quantinuum 279%, and Infleqtion 157%. Looking at the raw numbers, it can appear that the quantum-computing market is rapidly commercializing and monetizing.

    However, what exactly are quantum companies selling to generate these revenues?

    Is it quantum compute time? Physical hardware? Government R&D contracts? Quantum sensing or communications?

    Tracing the current revenue structures of major quantum firms shows that the phrase “commercialization of the quantum market” often contains very different realities than the commonly imagined ‘‘commercialization of quantum computers’’.

    *Currency conversions are approximate, using an exchange rate of $1 ≈ ¥159 as of August 20, 2026.

    IonQ — the $12.7 billion quarter is not purely “quantum compute fees”

    IonQ stands out in Q2 2026.

    Revenue was $80.10 million (about ¥12.7 billion), roughly four times year-over-year and far above other pure-play quantum companies.

    However, it would be inaccurate to interpret this number as “IonQ’s quantum computers were used for about ¥12.7 billion worth of compute.”

    IonQ is no longer a company that only does quantum computing.

    Through successive acquisitions, the company has expanded into quantum networking, quantum security, sensing, photonics, and space-related technologies.

    For Q2 the company said roughly 25% of revenue came from customers using multiple product categories. About 60% of revenue was classified as “commercial,” but the scope of that commercial business has broadened significantly compared with the past.

    The company attributes revenue growth to Tempo quantum computer deployments and cloud usage, as well as demand across its broader “quantum platform.”

    In other words, IonQ’s current revenue should be viewed as

    quantum computing + quantum networking + security + sensing + other quantum-related businesses

    combined.

    While revenue is clearly growing rapidly, that growth alone no longer lets you infer the commercial demand for quantum computers themselves.

    Infleqtion — all quantum, but government contracts remain central

    Infleqtion is also interesting.

    Q2 2026 revenue was $13.50 million (about ¥2.1 billion), a 157% year-over-year increase. The company emphasized that this revenue was “100% organic and entirely from quantum.”

    Unlike IonQ, its growth is not being boosted by acquired non-quantum businesses.

    But “entirely quantum” is not the same as “revenue from commercial use of quantum computers.”

    Infleqtion develops the neutral-atom quantum computer “Sqale,” but it also has significant business lines in atomic clocks and quantum sensing.

    Moreover, government contracts play a large role in the company’s revenue. For example, Infleqtion has a $20 million (about ¥3.18 billion) contract with NASA to develop a spaceborne quantum gravity gradiometer. In Q1 2026 that NASA contract alone increased year-over-year revenue by about $4.0 million (about ¥640 million). The company has also derived revenue from the U.S. Department of Defense, the U.S. Army, the European Space Agency, and Japanese government projects.

    Infleqtion’s revenue is certainly “quantum,” but it includes

    quantum computing, quantum sensing, atomic clocks, and government R&D

    all together.

    Again, revenue from a quantum company should be distinguished from revenue specifically generated by commercial use of quantum computers.

    D-Wave — selling a single machine can change the financials

    D-Wave is one of the clearest examples of the current market structure.

    Q2 2026 revenue was $3.10 million (about ¥490 million), roughly flat year-over-year.

    However, first-half 2025 revenue was $18.10 million (about ¥2.88 billion), while first-half 2026 revenue was $5.90 million (about ¥940 million) — a 67% decline.

    The reason is simple: in the first half of 2025 D-Wave recorded a $13.70 million (about ¥2.18 billion) sale of a quantum computer. Selling one large quantum machine can materially swing annual or quarterly revenue for today’s quantum companies.

    D-Wave also offers a cloud service, Leap, as Quantum Computing as a Service (QCaaS).

    Of Leap’s QCaaS revenue in H1 2026, $1.30 million (about ¥210 million) was classified by D-Wave as revenue from “production applications,” representing 37.3% of total QCaaS revenue. In the prior-year period that figure was $0.30 million (about ¥48 million), or 9.8%.

    On the surface, those numbers suggest that production use of quantum computers is expanding. But this interpretation requires caution.

    Leap provides both direct QPU access and quantum-classical hybrid solvers. The internal workings of the latter are a black box to users: external observers cannot verify whether a QPU was actually used for a given calculation, or to what extent a QPU contributed to the result.

    What these figures do indicate is that D-Wave’s optimization services classified as “production” are being used. They do not definitively quantify the commercial value of the QPU itself.

    D-Wave’s current revenue model combines

    hardware sales + cloud usage + professional services

    with multiple models coexisting.

    Particularly, QCaaS “production” revenue should be read separately from metrics that would directly prove the QPU’s commercial usage.

    Rigetti — selling QPUs as well as offering cloud access

    Rigetti has also broadened how it generates revenue in recent years.

    Q2 2026 revenue was $5.10 million (about ¥810 million). The company attributes revenue growth to sales of the nine-qubit Novera quantum computing system and related products.

    Historically Rigetti provided quantum computing through its cloud QCS and via platforms such as Amazon Braket and Microsoft Azure Quantum.

    More recently, however, sales of QPUs and on-premises quantum systems directly to universities, research institutions, and HPC centers have become notable.

    For example, in Q1 2026 Rigetti sold and shipped a Novera QPU to the University of Saskatchewan in Canada. It is also delivering systems to India’s C-DAC and the Pittsburgh Supercomputing Center.

    What customers are buying in these cases is less a service that accelerates existing business processes and more research equipment to study and validate quantum computers themselves.

    More hardware sales will raise revenue, but that should not automatically be interpreted as equivalent to widespread industrial demand for quantum computation.

    Quantinuum — continuous cloud access as a different model

    Quantinuum presents a somewhat different case.

    Q2 2026 revenue was $8.00 million (about ¥1.27 billion), a 279% year-over-year increase.

    Notably, Quantinuum cites cloud business as the primary driver of its revenue growth.

    Unlike hardware sales or government contracts, cloud usage can build recurring revenue as long as customers keep using it. However, increased cloud usage does not necessarily mean those computations are generating economic value in customers’ production workflows — research, evaluation, and algorithm development are included.

    Still, how far a model that sells continued access to quantum compute capacity rather than the machines themselves can scale will be an important indicator of commercialization in the quantum industry.

    The same “revenue” can mean very different things

    Summarizing so far, current quantum-company revenue falls into at least the following categories.

    Type of revenueTypical examplesCharacteristics
    Sales of quantum computer hardwareD-Wave, RigettiSingle sales can be large, but revenue timing is project-dependent
    Cloud compute usageQuantinuum, D-Wave, IonQ, RigettiCan become recurring/stock-like if usage is sustained
    Government and R&D contractsInfleqtion, etc.A major source of demand in today’s quantum industry
    Quantum sensing and communicationsIonQ, InfleqtionMarkets outside quantum computing
    Professional services and joint researchVarious firmsPoCs, algorithm development, deployment support, etc.

    On the books, these are all simply revenue.

    But their implications for the industry’s maturity are quite different.

    For example, if a research institution buys a $20 million (about ¥3.18 billion) quantum computer, the manufacturer records about ¥3.18 billion in revenue.

    However, that does not necessarily mean that

    “the quantum computer was purchased because using it will generate more than ¥3.18 billion in economic value”

    It might have been bought as research equipment.

    It might be for national strategy reasons, to maintain domestic quantum computing capability.

    Or it might be an R&D investment to prepare for the future.

    Conversely, if a company pays monthly for quantum compute services and continuously reduces logistics or production costs as a result, the same revenue figure has a very different meaning.

    “Commercial customer” does not mean “a company using quantum computers in production”

    This point deserves special attention when assessing the current quantum industry.

    Quantum companies often report revenue from “commercial customers” or “commercial revenue.”

    D-Wave said 62.4% of Q2 2026 revenue came from commercial customers. IonQ also reports about 60% commercial revenue.

    From the headline numbers, one might conclude

    “Sixty percent of revenue comes from private companies using quantum computers in production.”

    But reading it that way today is almost certainly misleading.

    “Commercial customer” simply denotes a non-government, non-research institutional customer.

    Such a customer may be:

    • evaluating a quantum computer’s performance
    • running a proof of concept (PoC)
    • conducting joint research
    • developing algorithms to prepare for the future
    • experimentally using quantum computers on the cloud
    • purchasing quantum sensing or communications products rather than quantum compute

    Any of these activities can qualify a firm as a commercial customer.

    That is entirely different from saying a quantum computer is integrated into a company’s daily operational systems and continuously delivering superior economic value over classical methods.

    Current quantum computers still face substantial limitations in performance, error rates, problem size, and cost.

    At present, cases where one can externally verify that quantum computing has demonstrated clear economic advantage over classical computing and that companies are paying recurring fees for that reason are virtually non-existent. Although D-Wave and others have published multiple “production applications,” the degree to which QPUs contribute within quantum-classical hybrid processing or the associated economic superiority over traditional methods has not been made fully transparent.

    Therefore, when companies announce “commercial customers are increasing,”

    it is best not to interpret that as “quantum computers have begun to be commonly used in enterprise production.”

    Having commercial customers is not the same as proving quantum computers’ commercial value.

    Revenue growth is not the same as practical quantum computing

    Quantum companies are already generating revenue.

    But that revenue comprises hardware sales, government contracts, PoCs, joint research, cloud usage, sensing, and communications.

    What quantum companies are earning and whether quantum computers have become a technology that earns money in production are still not the same thing.

    To assess the current state of commercialization, one should look less at headline revenue and more at who is paying, for what, and whether the payments are ongoing.

    Related articles

    Quantum companies’ revenues have started to rise.

    In Q2 2026, IonQ reported $80.10 million (about ¥12.7 billion), Infleqtion reported $13.50 million (about ¥2.1 billion), Quantinuum reported $8.00 million (about ¥1.27 billion), Rigetti Computing reported $5.10 million (about ¥810 million), and D-Wave Quantum reported $3.10 million (about ¥490 million) in revenue.

    IonQ grew 287% year over year, Quantinuum 279%, and Infleqtion 157%. Looking at the raw numbers, it can appear that the quantum-computing market is rapidly commercializing and monetizing.

    However, what exactly are quantum companies selling to generate these revenues?

    Is it quantum compute time? Physical hardware? Government R&D contracts? Quantum sensing or communications?

    Tracing the current revenue structures of major quantum firms shows that the phrase “commercialization of the quantum market” often contains very different realities than the commonly imagined ‘‘commercialization of quantum computers’’.

    *Currency conversions are approximate, using an exchange rate of $1 ≈ ¥159 as of August 20, 2026.

    IonQ — the $12.7 billion quarter is not purely “quantum compute fees”

    IonQ stands out in Q2 2026.

    Revenue was $80.10 million (about ¥12.7 billion), roughly four times year-over-year and far above other pure-play quantum companies.

    However, it would be inaccurate to interpret this number as “IonQ’s quantum computers were used for about ¥12.7 billion worth of compute.”

    IonQ is no longer a company that only does quantum computing.

    Through successive acquisitions, the company has expanded into quantum networking, quantum security, sensing, photonics, and space-related technologies.

    For Q2 the company said roughly 25% of revenue came from customers using multiple product categories. About 60% of revenue was classified as “commercial,” but the scope of that commercial business has broadened significantly compared with the past.

    The company attributes revenue growth to Tempo quantum computer deployments and cloud usage, as well as demand across its broader “quantum platform.”

    In other words, IonQ’s current revenue should be viewed as

    quantum computing + quantum networking + security + sensing + other quantum-related businesses

    combined.

    While revenue is clearly growing rapidly, that growth alone no longer lets you infer the commercial demand for quantum computers themselves.

    Infleqtion — all quantum, but government contracts remain central

    Infleqtion is also interesting.

    Q2 2026 revenue was $13.50 million (about ¥2.1 billion), a 157% year-over-year increase. The company emphasized that this revenue was “100% organic and entirely from quantum.”

    Unlike IonQ, its growth is not being boosted by acquired non-quantum businesses.

    But “entirely quantum” is not the same as “revenue from commercial use of quantum computers.”

    Infleqtion develops the neutral-atom quantum computer “Sqale,” but it also has significant business lines in atomic clocks and quantum sensing.

    Moreover, government contracts play a large role in the company’s revenue. For example, Infleqtion has a $20 million (about ¥3.18 billion) contract with NASA to develop a spaceborne quantum gravity gradiometer. In Q1 2026 that NASA contract alone increased year-over-year revenue by about $4.0 million (about ¥640 million). The company has also derived revenue from the U.S. Department of Defense, the U.S. Army, the European Space Agency, and Japanese government projects.

    Infleqtion’s revenue is certainly “quantum,” but it includes

    quantum computing, quantum sensing, atomic clocks, and government R&D

    all together.

    Again, revenue from a quantum company should be distinguished from revenue specifically generated by commercial use of quantum computers.

    D-Wave — selling a single machine can change the financials

    D-Wave is one of the clearest examples of the current market structure.

    Q2 2026 revenue was $3.10 million (about ¥490 million), roughly flat year-over-year.

    However, first-half 2025 revenue was $18.10 million (about ¥2.88 billion), while first-half 2026 revenue was $5.90 million (about ¥940 million) — a 67% decline.

    The reason is simple: in the first half of 2025 D-Wave recorded a $13.70 million (about ¥2.18 billion) sale of a quantum computer. Selling one large quantum machine can materially swing annual or quarterly revenue for today’s quantum companies.

    D-Wave also offers a cloud service, Leap, as Quantum Computing as a Service (QCaaS).

    Of Leap’s QCaaS revenue in H1 2026, $1.30 million (about ¥210 million) was classified by D-Wave as revenue from “production applications,” representing 37.3% of total QCaaS revenue. In the prior-year period that figure was $0.30 million (about ¥48 million), or 9.8%.

    On the surface, those numbers suggest that production use of quantum computers is expanding. But this interpretation requires caution.

    Leap provides both direct QPU access and quantum-classical hybrid solvers. The internal workings of the latter are a black box to users: external observers cannot verify whether a QPU was actually used for a given calculation, or to what extent a QPU contributed to the result.

    What these figures do indicate is that D-Wave’s optimization services classified as “production” are being used. They do not definitively quantify the commercial value of the QPU itself.

    D-Wave’s current revenue model combines

    hardware sales + cloud usage + professional services

    with multiple models coexisting.

    Particularly, QCaaS “production” revenue should be read separately from metrics that would directly prove the QPU’s commercial usage.

    Rigetti — selling QPUs as well as offering cloud access

    Rigetti has also broadened how it generates revenue in recent years.

    Q2 2026 revenue was $5.10 million (about ¥810 million). The company attributes revenue growth to sales of the nine-qubit Novera quantum computing system and related products.

    Historically Rigetti provided quantum computing through its cloud QCS and via platforms such as Amazon Braket and Microsoft Azure Quantum.

    More recently, however, sales of QPUs and on-premises quantum systems directly to universities, research institutions, and HPC centers have become notable.

    For example, in Q1 2026 Rigetti sold and shipped a Novera QPU to the University of Saskatchewan in Canada. It is also delivering systems to India’s C-DAC and the Pittsburgh Supercomputing Center.

    What customers are buying in these cases is less a service that accelerates existing business processes and more research equipment to study and validate quantum computers themselves.

    More hardware sales will raise revenue, but that should not automatically be interpreted as equivalent to widespread industrial demand for quantum computation.

    Quantinuum — continuous cloud access as a different model

    Quantinuum presents a somewhat different case.

    Q2 2026 revenue was $8.00 million (about ¥1.27 billion), a 279% year-over-year increase.

    Notably, Quantinuum cites cloud business as the primary driver of its revenue growth.

    Unlike hardware sales or government contracts, cloud usage can build recurring revenue as long as customers keep using it. However, increased cloud usage does not necessarily mean those computations are generating economic value in customers’ production workflows — research, evaluation, and algorithm development are included.

    Still, how far a model that sells continued access to quantum compute capacity rather than the machines themselves can scale will be an important indicator of commercialization in the quantum industry.

    The same “revenue” can mean very different things

    Summarizing so far, current quantum-company revenue falls into at least the following categories.

    Type of revenueTypical examplesCharacteristics
    Sales of quantum computer hardwareD-Wave, RigettiSingle sales can be large, but revenue timing is project-dependent
    Cloud compute usageQuantinuum, D-Wave, IonQ, RigettiCan become recurring/stock-like if usage is sustained
    Government and R&D contractsInfleqtion, etc.A major source of demand in today’s quantum industry
    Quantum sensing and communicationsIonQ, InfleqtionMarkets outside quantum computing
    Professional services and joint researchVarious firmsPoCs, algorithm development, deployment support, etc.

    On the books, these are all simply revenue.

    But their implications for the industry’s maturity are quite different.

    For example, if a research institution buys a $20 million (about ¥3.18 billion) quantum computer, the manufacturer records about ¥3.18 billion in revenue.

    However, that does not necessarily mean that

    “the quantum computer was purchased because using it will generate more than ¥3.18 billion in economic value”

    It might have been bought as research equipment.

    It might be for national strategy reasons, to maintain domestic quantum computing capability.

    Or it might be an R&D investment to prepare for the future.

    Conversely, if a company pays monthly for quantum compute services and continuously reduces logistics or production costs as a result, the same revenue figure has a very different meaning.

    “Commercial customer” does not mean “a company using quantum computers in production”

    This point deserves special attention when assessing the current quantum industry.

    Quantum companies often report revenue from “commercial customers” or “commercial revenue.”

    D-Wave said 62.4% of Q2 2026 revenue came from commercial customers. IonQ also reports about 60% commercial revenue.

    From the headline numbers, one might conclude

    “Sixty percent of revenue comes from private companies using quantum computers in production.”

    But reading it that way today is almost certainly misleading.

    “Commercial customer” simply denotes a non-government, non-research institutional customer.

    Such a customer may be:

    • evaluating a quantum computer’s performance
    • running a proof of concept (PoC)
    • conducting joint research
    • developing algorithms to prepare for the future
    • experimentally using quantum computers on the cloud
    • purchasing quantum sensing or communications products rather than quantum compute

    Any of these activities can qualify a firm as a commercial customer.

    That is entirely different from saying a quantum computer is integrated into a company’s daily operational systems and continuously delivering superior economic value over classical methods.

    Current quantum computers still face substantial limitations in performance, error rates, problem size, and cost.

    At present, cases where one can externally verify that quantum computing has demonstrated clear economic advantage over classical computing and that companies are paying recurring fees for that reason are virtually non-existent. Although D-Wave and others have published multiple “production applications,” the degree to which QPUs contribute within quantum-classical hybrid processing or the associated economic superiority over traditional methods has not been made fully transparent.

    Therefore, when companies announce “commercial customers are increasing,”

    it is best not to interpret that as “quantum computers have begun to be commonly used in enterprise production.”

    Having commercial customers is not the same as proving quantum computers’ commercial value.

    Revenue growth is not the same as practical quantum computing

    Quantum companies are already generating revenue.

    But that revenue comprises hardware sales, government contracts, PoCs, joint research, cloud usage, sensing, and communications.

    What quantum companies are earning and whether quantum computers have become a technology that earns money in production are still not the same thing.

    To assess the current state of commercialization, one should look less at headline revenue and more at who is paying, for what, and whether the payments are ongoing.

    Related articles

  • developing algorithms to prepare for the future
  • experimentally using quantum computers on the cloud
  • purchasing quantum sensing or communications products rather than quantum compute
  • Any of these activities can qualify a firm as a commercial customer.

    That is entirely different from saying a quantum computer is integrated into a company’s daily operational systems and continuously delivering superior economic value over classical methods.

    Current quantum computers still face substantial limitations in performance, error rates, problem size, and cost.

    At present, cases where one can externally verify that quantum computing has demonstrated clear economic advantage over classical computing and that companies are paying recurring fees for that reason are virtually non-existent. Although D-Wave and others have published multiple “production applications,” the degree to which QPUs contribute within quantum-classical hybrid processing or the associated economic superiority over traditional methods has not been made fully transparent.

    Therefore, when companies announce “commercial customers are increasing,”

    it is best not to interpret that as “quantum computers have begun to be commonly used in enterprise production.”

    Having commercial customers is not the same as proving quantum computers’ commercial value.

    Revenue growth is not the same as practical quantum computing

    Quantum companies are already generating revenue.

    But that revenue comprises hardware sales, government contracts, PoCs, joint research, cloud usage, sensing, and communications.

    What quantum companies are earning and whether quantum computers have become a technology that earns money in production are still not the same thing.

    To assess the current state of commercialization, one should look less at headline revenue and more at who is paying, for what, and whether the payments are ongoing.

    Related articles

    Quantum companies’ revenues have started to rise.

    In Q2 2026, IonQ reported $80.10 million (about ¥12.7 billion), Infleqtion reported $13.50 million (about ¥2.1 billion), Quantinuum reported $8.00 million (about ¥1.27 billion), Rigetti Computing reported $5.10 million (about ¥810 million), and D-Wave Quantum reported $3.10 million (about ¥490 million) in revenue.

    IonQ grew 287% year over year, Quantinuum 279%, and Infleqtion 157%. Looking at the raw numbers, it can appear that the quantum-computing market is rapidly commercializing and monetizing.

    However, what exactly are quantum companies selling to generate these revenues?

    Is it quantum compute time? Physical hardware? Government R&D contracts? Quantum sensing or communications?

    Tracing the current revenue structures of major quantum firms shows that the phrase “commercialization of the quantum market” often contains very different realities than the commonly imagined ‘‘commercialization of quantum computers’’.

    *Currency conversions are approximate, using an exchange rate of $1 ≈ ¥159 as of August 20, 2026.

    IonQ — the $12.7 billion quarter is not purely “quantum compute fees”

    IonQ stands out in Q2 2026.

    Revenue was $80.10 million (about ¥12.7 billion), roughly four times year-over-year and far above other pure-play quantum companies.

    However, it would be inaccurate to interpret this number as “IonQ’s quantum computers were used for about ¥12.7 billion worth of compute.”

    IonQ is no longer a company that only does quantum computing.

    Through successive acquisitions, the company has expanded into quantum networking, quantum security, sensing, photonics, and space-related technologies.

    For Q2 the company said roughly 25% of revenue came from customers using multiple product categories. About 60% of revenue was classified as “commercial,” but the scope of that commercial business has broadened significantly compared with the past.

    The company attributes revenue growth to Tempo quantum computer deployments and cloud usage, as well as demand across its broader “quantum platform.”

    In other words, IonQ’s current revenue should be viewed as

    quantum computing + quantum networking + security + sensing + other quantum-related businesses

    combined.

    While revenue is clearly growing rapidly, that growth alone no longer lets you infer the commercial demand for quantum computers themselves.

    Infleqtion — all quantum, but government contracts remain central

    Infleqtion is also interesting.

    Q2 2026 revenue was $13.50 million (about ¥2.1 billion), a 157% year-over-year increase. The company emphasized that this revenue was “100% organic and entirely from quantum.”

    Unlike IonQ, its growth is not being boosted by acquired non-quantum businesses.

    But “entirely quantum” is not the same as “revenue from commercial use of quantum computers.”

    Infleqtion develops the neutral-atom quantum computer “Sqale,” but it also has significant business lines in atomic clocks and quantum sensing.

    Moreover, government contracts play a large role in the company’s revenue. For example, Infleqtion has a $20 million (about ¥3.18 billion) contract with NASA to develop a spaceborne quantum gravity gradiometer. In Q1 2026 that NASA contract alone increased year-over-year revenue by about $4.0 million (about ¥640 million). The company has also derived revenue from the U.S. Department of Defense, the U.S. Army, the European Space Agency, and Japanese government projects.

    Infleqtion’s revenue is certainly “quantum,” but it includes

    quantum computing, quantum sensing, atomic clocks, and government R&D

    all together.

    Again, revenue from a quantum company should be distinguished from revenue specifically generated by commercial use of quantum computers.

    D-Wave — selling a single machine can change the financials

    D-Wave is one of the clearest examples of the current market structure.

    Q2 2026 revenue was $3.10 million (about ¥490 million), roughly flat year-over-year.

    However, first-half 2025 revenue was $18.10 million (about ¥2.88 billion), while first-half 2026 revenue was $5.90 million (about ¥940 million) — a 67% decline.

    The reason is simple: in the first half of 2025 D-Wave recorded a $13.70 million (about ¥2.18 billion) sale of a quantum computer. Selling one large quantum machine can materially swing annual or quarterly revenue for today’s quantum companies.

    D-Wave also offers a cloud service, Leap, as Quantum Computing as a Service (QCaaS).

    Of Leap’s QCaaS revenue in H1 2026, $1.30 million (about ¥210 million) was classified by D-Wave as revenue from “production applications,” representing 37.3% of total QCaaS revenue. In the prior-year period that figure was $0.30 million (about ¥48 million), or 9.8%.

    On the surface, those numbers suggest that production use of quantum computers is expanding. But this interpretation requires caution.

    Leap provides both direct QPU access and quantum-classical hybrid solvers. The internal workings of the latter are a black box to users: external observers cannot verify whether a QPU was actually used for a given calculation, or to what extent a QPU contributed to the result.

    What these figures do indicate is that D-Wave’s optimization services classified as “production” are being used. They do not definitively quantify the commercial value of the QPU itself.

    D-Wave’s current revenue model combines

    hardware sales + cloud usage + professional services

    with multiple models coexisting.

    Particularly, QCaaS “production” revenue should be read separately from metrics that would directly prove the QPU’s commercial usage.

    Rigetti — selling QPUs as well as offering cloud access

    Rigetti has also broadened how it generates revenue in recent years.

    Q2 2026 revenue was $5.10 million (about ¥810 million). The company attributes revenue growth to sales of the nine-qubit Novera quantum computing system and related products.

    Historically Rigetti provided quantum computing through its cloud QCS and via platforms such as Amazon Braket and Microsoft Azure Quantum.

    More recently, however, sales of QPUs and on-premises quantum systems directly to universities, research institutions, and HPC centers have become notable.

    For example, in Q1 2026 Rigetti sold and shipped a Novera QPU to the University of Saskatchewan in Canada. It is also delivering systems to India’s C-DAC and the Pittsburgh Supercomputing Center.

    What customers are buying in these cases is less a service that accelerates existing business processes and more research equipment to study and validate quantum computers themselves.

    More hardware sales will raise revenue, but that should not automatically be interpreted as equivalent to widespread industrial demand for quantum computation.

    Quantinuum — continuous cloud access as a different model

    Quantinuum presents a somewhat different case.

    Q2 2026 revenue was $8.00 million (about ¥1.27 billion), a 279% year-over-year increase.

    Notably, Quantinuum cites cloud business as the primary driver of its revenue growth.

    Unlike hardware sales or government contracts, cloud usage can build recurring revenue as long as customers keep using it. However, increased cloud usage does not necessarily mean those computations are generating economic value in customers’ production workflows — research, evaluation, and algorithm development are included.

    Still, how far a model that sells continued access to quantum compute capacity rather than the machines themselves can scale will be an important indicator of commercialization in the quantum industry.

    The same “revenue” can mean very different things

    Summarizing so far, current quantum-company revenue falls into at least the following categories.

    Type of revenueTypical examplesCharacteristics
    Sales of quantum computer hardwareD-Wave, RigettiSingle sales can be large, but revenue timing is project-dependent
    Cloud compute usageQuantinuum, D-Wave, IonQ, RigettiCan become recurring/stock-like if usage is sustained
    Government and R&D contractsInfleqtion, etc.A major source of demand in today’s quantum industry
    Quantum sensing and communicationsIonQ, InfleqtionMarkets outside quantum computing
    Professional services and joint researchVarious firmsPoCs, algorithm development, deployment support, etc.

    On the books, these are all simply revenue.

    But their implications for the industry’s maturity are quite different.

    For example, if a research institution buys a $20 million (about ¥3.18 billion) quantum computer, the manufacturer records about ¥3.18 billion in revenue.

    However, that does not necessarily mean that

    “the quantum computer was purchased because using it will generate more than ¥3.18 billion in economic value”

    It might have been bought as research equipment.

    It might be for national strategy reasons, to maintain domestic quantum computing capability.

    Or it might be an R&D investment to prepare for the future.

    Conversely, if a company pays monthly for quantum compute services and continuously reduces logistics or production costs as a result, the same revenue figure has a very different meaning.

    “Commercial customer” does not mean “a company using quantum computers in production”

    This point deserves special attention when assessing the current quantum industry.

    Quantum companies often report revenue from “commercial customers” or “commercial revenue.”

    D-Wave said 62.4% of Q2 2026 revenue came from commercial customers. IonQ also reports about 60% commercial revenue.

    From the headline numbers, one might conclude

    “Sixty percent of revenue comes from private companies using quantum computers in production.”

    But reading it that way today is almost certainly misleading.

    “Commercial customer” simply denotes a non-government, non-research institutional customer.

    Such a customer may be:

    • evaluating a quantum computer’s performance
    • running a proof of concept (PoC)
    • conducting joint research
    • developing algorithms to prepare for the future
    • experimentally using quantum computers on the cloud
    • purchasing quantum sensing or communications products rather than quantum compute

    Any of these activities can qualify a firm as a commercial customer.

    That is entirely different from saying a quantum computer is integrated into a company’s daily operational systems and continuously delivering superior economic value over classical methods.

    Current quantum computers still face substantial limitations in performance, error rates, problem size, and cost.

    At present, cases where one can externally verify that quantum computing has demonstrated clear economic advantage over classical computing and that companies are paying recurring fees for that reason are virtually non-existent. Although D-Wave and others have published multiple “production applications,” the degree to which QPUs contribute within quantum-classical hybrid processing or the associated economic superiority over traditional methods has not been made fully transparent.

    Therefore, when companies announce “commercial customers are increasing,”

    it is best not to interpret that as “quantum computers have begun to be commonly used in enterprise production.”

    Having commercial customers is not the same as proving quantum computers’ commercial value.

    Revenue growth is not the same as practical quantum computing

    Quantum companies are already generating revenue.

    But that revenue comprises hardware sales, government contracts, PoCs, joint research, cloud usage, sensing, and communications.

    What quantum companies are earning and whether quantum computers have become a technology that earns money in production are still not the same thing.

    To assess the current state of commercialization, one should look less at headline revenue and more at who is paying, for what, and whether the payments are ongoing.

    Related articles

  • conducting joint research
  • developing algorithms to prepare for the future
  • experimentally using quantum computers on the cloud
  • purchasing quantum sensing or communications products rather than quantum compute
  • Any of these activities can qualify a firm as a commercial customer.

    That is entirely different from saying a quantum computer is integrated into a company’s daily operational systems and continuously delivering superior economic value over classical methods.

    Current quantum computers still face substantial limitations in performance, error rates, problem size, and cost.

    At present, cases where one can externally verify that quantum computing has demonstrated clear economic advantage over classical computing and that companies are paying recurring fees for that reason are virtually non-existent. Although D-Wave and others have published multiple “production applications,” the degree to which QPUs contribute within quantum-classical hybrid processing or the associated economic superiority over traditional methods has not been made fully transparent.

    Therefore, when companies announce “commercial customers are increasing,”

    it is best not to interpret that as “quantum computers have begun to be commonly used in enterprise production.”

    Having commercial customers is not the same as proving quantum computers’ commercial value.

    Revenue growth is not the same as practical quantum computing

    Quantum companies are already generating revenue.

    But that revenue comprises hardware sales, government contracts, PoCs, joint research, cloud usage, sensing, and communications.

    What quantum companies are earning and whether quantum computers have become a technology that earns money in production are still not the same thing.

    To assess the current state of commercialization, one should look less at headline revenue and more at who is paying, for what, and whether the payments are ongoing.

    Related articles

    Quantum companies’ revenues have started to rise.

    In Q2 2026, IonQ reported $80.10 million (about ¥12.7 billion), Infleqtion reported $13.50 million (about ¥2.1 billion), Quantinuum reported $8.00 million (about ¥1.27 billion), Rigetti Computing reported $5.10 million (about ¥810 million), and D-Wave Quantum reported $3.10 million (about ¥490 million) in revenue.

    IonQ grew 287% year over year, Quantinuum 279%, and Infleqtion 157%. Looking at the raw numbers, it can appear that the quantum-computing market is rapidly commercializing and monetizing.

    However, what exactly are quantum companies selling to generate these revenues?

    Is it quantum compute time? Physical hardware? Government R&D contracts? Quantum sensing or communications?

    Tracing the current revenue structures of major quantum firms shows that the phrase “commercialization of the quantum market” often contains very different realities than the commonly imagined ‘‘commercialization of quantum computers’’.

    *Currency conversions are approximate, using an exchange rate of $1 ≈ ¥159 as of August 20, 2026.

    IonQ — the $12.7 billion quarter is not purely “quantum compute fees”

    IonQ stands out in Q2 2026.

    Revenue was $80.10 million (about ¥12.7 billion), roughly four times year-over-year and far above other pure-play quantum companies.

    However, it would be inaccurate to interpret this number as “IonQ’s quantum computers were used for about ¥12.7 billion worth of compute.”

    IonQ is no longer a company that only does quantum computing.

    Through successive acquisitions, the company has expanded into quantum networking, quantum security, sensing, photonics, and space-related technologies.

    For Q2 the company said roughly 25% of revenue came from customers using multiple product categories. About 60% of revenue was classified as “commercial,” but the scope of that commercial business has broadened significantly compared with the past.

    The company attributes revenue growth to Tempo quantum computer deployments and cloud usage, as well as demand across its broader “quantum platform.”

    In other words, IonQ’s current revenue should be viewed as

    quantum computing + quantum networking + security + sensing + other quantum-related businesses

    combined.

    While revenue is clearly growing rapidly, that growth alone no longer lets you infer the commercial demand for quantum computers themselves.

    Infleqtion — all quantum, but government contracts remain central

    Infleqtion is also interesting.

    Q2 2026 revenue was $13.50 million (about ¥2.1 billion), a 157% year-over-year increase. The company emphasized that this revenue was “100% organic and entirely from quantum.”

    Unlike IonQ, its growth is not being boosted by acquired non-quantum businesses.

    But “entirely quantum” is not the same as “revenue from commercial use of quantum computers.”

    Infleqtion develops the neutral-atom quantum computer “Sqale,” but it also has significant business lines in atomic clocks and quantum sensing.

    Moreover, government contracts play a large role in the company’s revenue. For example, Infleqtion has a $20 million (about ¥3.18 billion) contract with NASA to develop a spaceborne quantum gravity gradiometer. In Q1 2026 that NASA contract alone increased year-over-year revenue by about $4.0 million (about ¥640 million). The company has also derived revenue from the U.S. Department of Defense, the U.S. Army, the European Space Agency, and Japanese government projects.

    Infleqtion’s revenue is certainly “quantum,” but it includes

    quantum computing, quantum sensing, atomic clocks, and government R&D

    all together.

    Again, revenue from a quantum company should be distinguished from revenue specifically generated by commercial use of quantum computers.

    D-Wave — selling a single machine can change the financials

    D-Wave is one of the clearest examples of the current market structure.

    Q2 2026 revenue was $3.10 million (about ¥490 million), roughly flat year-over-year.

    However, first-half 2025 revenue was $18.10 million (about ¥2.88 billion), while first-half 2026 revenue was $5.90 million (about ¥940 million) — a 67% decline.

    The reason is simple: in the first half of 2025 D-Wave recorded a $13.70 million (about ¥2.18 billion) sale of a quantum computer. Selling one large quantum machine can materially swing annual or quarterly revenue for today’s quantum companies.

    D-Wave also offers a cloud service, Leap, as Quantum Computing as a Service (QCaaS).

    Of Leap’s QCaaS revenue in H1 2026, $1.30 million (about ¥210 million) was classified by D-Wave as revenue from “production applications,” representing 37.3% of total QCaaS revenue. In the prior-year period that figure was $0.30 million (about ¥48 million), or 9.8%.

    On the surface, those numbers suggest that production use of quantum computers is expanding. But this interpretation requires caution.

    Leap provides both direct QPU access and quantum-classical hybrid solvers. The internal workings of the latter are a black box to users: external observers cannot verify whether a QPU was actually used for a given calculation, or to what extent a QPU contributed to the result.

    What these figures do indicate is that D-Wave’s optimization services classified as “production” are being used. They do not definitively quantify the commercial value of the QPU itself.

    D-Wave’s current revenue model combines

    hardware sales + cloud usage + professional services

    with multiple models coexisting.

    Particularly, QCaaS “production” revenue should be read separately from metrics that would directly prove the QPU’s commercial usage.

    Rigetti — selling QPUs as well as offering cloud access

    Rigetti has also broadened how it generates revenue in recent years.

    Q2 2026 revenue was $5.10 million (about ¥810 million). The company attributes revenue growth to sales of the nine-qubit Novera quantum computing system and related products.

    Historically Rigetti provided quantum computing through its cloud QCS and via platforms such as Amazon Braket and Microsoft Azure Quantum.

    More recently, however, sales of QPUs and on-premises quantum systems directly to universities, research institutions, and HPC centers have become notable.

    For example, in Q1 2026 Rigetti sold and shipped a Novera QPU to the University of Saskatchewan in Canada. It is also delivering systems to India’s C-DAC and the Pittsburgh Supercomputing Center.

    What customers are buying in these cases is less a service that accelerates existing business processes and more research equipment to study and validate quantum computers themselves.

    More hardware sales will raise revenue, but that should not automatically be interpreted as equivalent to widespread industrial demand for quantum computation.

    Quantinuum — continuous cloud access as a different model

    Quantinuum presents a somewhat different case.

    Q2 2026 revenue was $8.00 million (about ¥1.27 billion), a 279% year-over-year increase.

    Notably, Quantinuum cites cloud business as the primary driver of its revenue growth.

    Unlike hardware sales or government contracts, cloud usage can build recurring revenue as long as customers keep using it. However, increased cloud usage does not necessarily mean those computations are generating economic value in customers’ production workflows — research, evaluation, and algorithm development are included.

    Still, how far a model that sells continued access to quantum compute capacity rather than the machines themselves can scale will be an important indicator of commercialization in the quantum industry.

    The same “revenue” can mean very different things

    Summarizing so far, current quantum-company revenue falls into at least the following categories.

    Type of revenueTypical examplesCharacteristics
    Sales of quantum computer hardwareD-Wave, RigettiSingle sales can be large, but revenue timing is project-dependent
    Cloud compute usageQuantinuum, D-Wave, IonQ, RigettiCan become recurring/stock-like if usage is sustained
    Government and R&D contractsInfleqtion, etc.A major source of demand in today’s quantum industry
    Quantum sensing and communicationsIonQ, InfleqtionMarkets outside quantum computing
    Professional services and joint researchVarious firmsPoCs, algorithm development, deployment support, etc.

    On the books, these are all simply revenue.

    But their implications for the industry’s maturity are quite different.

    For example, if a research institution buys a $20 million (about ¥3.18 billion) quantum computer, the manufacturer records about ¥3.18 billion in revenue.

    However, that does not necessarily mean that

    “the quantum computer was purchased because using it will generate more than ¥3.18 billion in economic value”

    It might have been bought as research equipment.

    It might be for national strategy reasons, to maintain domestic quantum computing capability.

    Or it might be an R&D investment to prepare for the future.

    Conversely, if a company pays monthly for quantum compute services and continuously reduces logistics or production costs as a result, the same revenue figure has a very different meaning.

    “Commercial customer” does not mean “a company using quantum computers in production”

    This point deserves special attention when assessing the current quantum industry.

    Quantum companies often report revenue from “commercial customers” or “commercial revenue.”

    D-Wave said 62.4% of Q2 2026 revenue came from commercial customers. IonQ also reports about 60% commercial revenue.

    From the headline numbers, one might conclude

    “Sixty percent of revenue comes from private companies using quantum computers in production.”

    But reading it that way today is almost certainly misleading.

    “Commercial customer” simply denotes a non-government, non-research institutional customer.

    Such a customer may be:

    • evaluating a quantum computer’s performance
    • running a proof of concept (PoC)
    • conducting joint research
    • developing algorithms to prepare for the future
    • experimentally using quantum computers on the cloud
    • purchasing quantum sensing or communications products rather than quantum compute

    Any of these activities can qualify a firm as a commercial customer.

    That is entirely different from saying a quantum computer is integrated into a company’s daily operational systems and continuously delivering superior economic value over classical methods.

    Current quantum computers still face substantial limitations in performance, error rates, problem size, and cost.

    At present, cases where one can externally verify that quantum computing has demonstrated clear economic advantage over classical computing and that companies are paying recurring fees for that reason are virtually non-existent. Although D-Wave and others have published multiple “production applications,” the degree to which QPUs contribute within quantum-classical hybrid processing or the associated economic superiority over traditional methods has not been made fully transparent.

    Therefore, when companies announce “commercial customers are increasing,”

    it is best not to interpret that as “quantum computers have begun to be commonly used in enterprise production.”

    Having commercial customers is not the same as proving quantum computers’ commercial value.

    Revenue growth is not the same as practical quantum computing

    Quantum companies are already generating revenue.

    But that revenue comprises hardware sales, government contracts, PoCs, joint research, cloud usage, sensing, and communications.

    What quantum companies are earning and whether quantum computers have become a technology that earns money in production are still not the same thing.

    To assess the current state of commercialization, one should look less at headline revenue and more at who is paying, for what, and whether the payments are ongoing.

    Related articles

  • running a proof of concept (PoC)
  • conducting joint research
  • developing algorithms to prepare for the future
  • experimentally using quantum computers on the cloud
  • purchasing quantum sensing or communications products rather than quantum compute
  • Any of these activities can qualify a firm as a commercial customer.

    That is entirely different from saying a quantum computer is integrated into a company’s daily operational systems and continuously delivering superior economic value over classical methods.

    Current quantum computers still face substantial limitations in performance, error rates, problem size, and cost.

    At present, cases where one can externally verify that quantum computing has demonstrated clear economic advantage over classical computing and that companies are paying recurring fees for that reason are virtually non-existent. Although D-Wave and others have published multiple “production applications,” the degree to which QPUs contribute within quantum-classical hybrid processing or the associated economic superiority over traditional methods has not been made fully transparent.

    Therefore, when companies announce “commercial customers are increasing,”

    it is best not to interpret that as “quantum computers have begun to be commonly used in enterprise production.”

    Having commercial customers is not the same as proving quantum computers’ commercial value.

    Revenue growth is not the same as practical quantum computing

    Quantum companies are already generating revenue.

    But that revenue comprises hardware sales, government contracts, PoCs, joint research, cloud usage, sensing, and communications.

    What quantum companies are earning and whether quantum computers have become a technology that earns money in production are still not the same thing.

    To assess the current state of commercialization, one should look less at headline revenue and more at who is paying, for what, and whether the payments are ongoing.

    Related articles

    Quantum companies’ revenues have started to rise.

    In Q2 2026, IonQ reported $80.10 million (about ¥12.7 billion), Infleqtion reported $13.50 million (about ¥2.1 billion), Quantinuum reported $8.00 million (about ¥1.27 billion), Rigetti Computing reported $5.10 million (about ¥810 million), and D-Wave Quantum reported $3.10 million (about ¥490 million) in revenue.

    IonQ grew 287% year over year, Quantinuum 279%, and Infleqtion 157%. Looking at the raw numbers, it can appear that the quantum-computing market is rapidly commercializing and monetizing.

    However, what exactly are quantum companies selling to generate these revenues?

    Is it quantum compute time? Physical hardware? Government R&D contracts? Quantum sensing or communications?

    Tracing the current revenue structures of major quantum firms shows that the phrase “commercialization of the quantum market” often contains very different realities than the commonly imagined ‘‘commercialization of quantum computers’’.

    *Currency conversions are approximate, using an exchange rate of $1 ≈ ¥159 as of August 20, 2026.

    IonQ — the $12.7 billion quarter is not purely “quantum compute fees”

    IonQ stands out in Q2 2026.

    Revenue was $80.10 million (about ¥12.7 billion), roughly four times year-over-year and far above other pure-play quantum companies.

    However, it would be inaccurate to interpret this number as “IonQ’s quantum computers were used for about ¥12.7 billion worth of compute.”

    IonQ is no longer a company that only does quantum computing.

    Through successive acquisitions, the company has expanded into quantum networking, quantum security, sensing, photonics, and space-related technologies.

    For Q2 the company said roughly 25% of revenue came from customers using multiple product categories. About 60% of revenue was classified as “commercial,” but the scope of that commercial business has broadened significantly compared with the past.

    The company attributes revenue growth to Tempo quantum computer deployments and cloud usage, as well as demand across its broader “quantum platform.”

    In other words, IonQ’s current revenue should be viewed as

    quantum computing + quantum networking + security + sensing + other quantum-related businesses

    combined.

    While revenue is clearly growing rapidly, that growth alone no longer lets you infer the commercial demand for quantum computers themselves.

    Infleqtion — all quantum, but government contracts remain central

    Infleqtion is also interesting.

    Q2 2026 revenue was $13.50 million (about ¥2.1 billion), a 157% year-over-year increase. The company emphasized that this revenue was “100% organic and entirely from quantum.”

    Unlike IonQ, its growth is not being boosted by acquired non-quantum businesses.

    But “entirely quantum” is not the same as “revenue from commercial use of quantum computers.”

    Infleqtion develops the neutral-atom quantum computer “Sqale,” but it also has significant business lines in atomic clocks and quantum sensing.

    Moreover, government contracts play a large role in the company’s revenue. For example, Infleqtion has a $20 million (about ¥3.18 billion) contract with NASA to develop a spaceborne quantum gravity gradiometer. In Q1 2026 that NASA contract alone increased year-over-year revenue by about $4.0 million (about ¥640 million). The company has also derived revenue from the U.S. Department of Defense, the U.S. Army, the European Space Agency, and Japanese government projects.

    Infleqtion’s revenue is certainly “quantum,” but it includes

    quantum computing, quantum sensing, atomic clocks, and government R&D

    all together.

    Again, revenue from a quantum company should be distinguished from revenue specifically generated by commercial use of quantum computers.

    D-Wave — selling a single machine can change the financials

    D-Wave is one of the clearest examples of the current market structure.

    Q2 2026 revenue was $3.10 million (about ¥490 million), roughly flat year-over-year.

    However, first-half 2025 revenue was $18.10 million (about ¥2.88 billion), while first-half 2026 revenue was $5.90 million (about ¥940 million) — a 67% decline.

    The reason is simple: in the first half of 2025 D-Wave recorded a $13.70 million (about ¥2.18 billion) sale of a quantum computer. Selling one large quantum machine can materially swing annual or quarterly revenue for today’s quantum companies.

    D-Wave also offers a cloud service, Leap, as Quantum Computing as a Service (QCaaS).

    Of Leap’s QCaaS revenue in H1 2026, $1.30 million (about ¥210 million) was classified by D-Wave as revenue from “production applications,” representing 37.3% of total QCaaS revenue. In the prior-year period that figure was $0.30 million (about ¥48 million), or 9.8%.

    On the surface, those numbers suggest that production use of quantum computers is expanding. But this interpretation requires caution.

    Leap provides both direct QPU access and quantum-classical hybrid solvers. The internal workings of the latter are a black box to users: external observers cannot verify whether a QPU was actually used for a given calculation, or to what extent a QPU contributed to the result.

    What these figures do indicate is that D-Wave’s optimization services classified as “production” are being used. They do not definitively quantify the commercial value of the QPU itself.

    D-Wave’s current revenue model combines

    hardware sales + cloud usage + professional services

    with multiple models coexisting.

    Particularly, QCaaS “production” revenue should be read separately from metrics that would directly prove the QPU’s commercial usage.

    Rigetti — selling QPUs as well as offering cloud access

    Rigetti has also broadened how it generates revenue in recent years.

    Q2 2026 revenue was $5.10 million (about ¥810 million). The company attributes revenue growth to sales of the nine-qubit Novera quantum computing system and related products.

    Historically Rigetti provided quantum computing through its cloud QCS and via platforms such as Amazon Braket and Microsoft Azure Quantum.

    More recently, however, sales of QPUs and on-premises quantum systems directly to universities, research institutions, and HPC centers have become notable.

    For example, in Q1 2026 Rigetti sold and shipped a Novera QPU to the University of Saskatchewan in Canada. It is also delivering systems to India’s C-DAC and the Pittsburgh Supercomputing Center.

    What customers are buying in these cases is less a service that accelerates existing business processes and more research equipment to study and validate quantum computers themselves.

    More hardware sales will raise revenue, but that should not automatically be interpreted as equivalent to widespread industrial demand for quantum computation.

    Quantinuum — continuous cloud access as a different model

    Quantinuum presents a somewhat different case.

    Q2 2026 revenue was $8.00 million (about ¥1.27 billion), a 279% year-over-year increase.

    Notably, Quantinuum cites cloud business as the primary driver of its revenue growth.

    Unlike hardware sales or government contracts, cloud usage can build recurring revenue as long as customers keep using it. However, increased cloud usage does not necessarily mean those computations are generating economic value in customers’ production workflows — research, evaluation, and algorithm development are included.

    Still, how far a model that sells continued access to quantum compute capacity rather than the machines themselves can scale will be an important indicator of commercialization in the quantum industry.

    The same “revenue” can mean very different things

    Summarizing so far, current quantum-company revenue falls into at least the following categories.

    Type of revenueTypical examplesCharacteristics
    Sales of quantum computer hardwareD-Wave, RigettiSingle sales can be large, but revenue timing is project-dependent
    Cloud compute usageQuantinuum, D-Wave, IonQ, RigettiCan become recurring/stock-like if usage is sustained
    Government and R&D contractsInfleqtion, etc.A major source of demand in today’s quantum industry
    Quantum sensing and communicationsIonQ, InfleqtionMarkets outside quantum computing
    Professional services and joint researchVarious firmsPoCs, algorithm development, deployment support, etc.

    On the books, these are all simply revenue.

    But their implications for the industry’s maturity are quite different.

    For example, if a research institution buys a $20 million (about ¥3.18 billion) quantum computer, the manufacturer records about ¥3.18 billion in revenue.

    However, that does not necessarily mean that

    “the quantum computer was purchased because using it will generate more than ¥3.18 billion in economic value”

    It might have been bought as research equipment.

    It might be for national strategy reasons, to maintain domestic quantum computing capability.

    Or it might be an R&D investment to prepare for the future.

    Conversely, if a company pays monthly for quantum compute services and continuously reduces logistics or production costs as a result, the same revenue figure has a very different meaning.

    “Commercial customer” does not mean “a company using quantum computers in production”

    This point deserves special attention when assessing the current quantum industry.

    Quantum companies often report revenue from “commercial customers” or “commercial revenue.”

    D-Wave said 62.4% of Q2 2026 revenue came from commercial customers. IonQ also reports about 60% commercial revenue.

    From the headline numbers, one might conclude

    “Sixty percent of revenue comes from private companies using quantum computers in production.”

    But reading it that way today is almost certainly misleading.

    “Commercial customer” simply denotes a non-government, non-research institutional customer.

    Such a customer may be:

    • evaluating a quantum computer’s performance
    • running a proof of concept (PoC)
    • conducting joint research
    • developing algorithms to prepare for the future
    • experimentally using quantum computers on the cloud
    • purchasing quantum sensing or communications products rather than quantum compute

    Any of these activities can qualify a firm as a commercial customer.

    That is entirely different from saying a quantum computer is integrated into a company’s daily operational systems and continuously delivering superior economic value over classical methods.

    Current quantum computers still face substantial limitations in performance, error rates, problem size, and cost.

    At present, cases where one can externally verify that quantum computing has demonstrated clear economic advantage over classical computing and that companies are paying recurring fees for that reason are virtually non-existent. Although D-Wave and others have published multiple “production applications,” the degree to which QPUs contribute within quantum-classical hybrid processing or the associated economic superiority over traditional methods has not been made fully transparent.

    Therefore, when companies announce “commercial customers are increasing,”

    it is best not to interpret that as “quantum computers have begun to be commonly used in enterprise production.”

    Having commercial customers is not the same as proving quantum computers’ commercial value.

    Revenue growth is not the same as practical quantum computing

    Quantum companies are already generating revenue.

    But that revenue comprises hardware sales, government contracts, PoCs, joint research, cloud usage, sensing, and communications.

    What quantum companies are earning and whether quantum computers have become a technology that earns money in production are still not the same thing.

    To assess the current state of commercialization, one should look less at headline revenue and more at who is paying, for what, and whether the payments are ongoing.

    Related articles

  • evaluating a quantum computer’s performance
  • running a proof of concept (PoC)
  • conducting joint research
  • developing algorithms to prepare for the future
  • experimentally using quantum computers on the cloud
  • purchasing quantum sensing or communications products rather than quantum compute
  • Any of these activities can qualify a firm as a commercial customer.

    That is entirely different from saying a quantum computer is integrated into a company’s daily operational systems and continuously delivering superior economic value over classical methods.

    Current quantum computers still face substantial limitations in performance, error rates, problem size, and cost.

    At present, cases where one can externally verify that quantum computing has demonstrated clear economic advantage over classical computing and that companies are paying recurring fees for that reason are virtually non-existent. Although D-Wave and others have published multiple “production applications,” the degree to which QPUs contribute within quantum-classical hybrid processing or the associated economic superiority over traditional methods has not been made fully transparent.

    Therefore, when companies announce “commercial customers are increasing,”

    it is best not to interpret that as “quantum computers have begun to be commonly used in enterprise production.”

    Having commercial customers is not the same as proving quantum computers’ commercial value.

    Revenue growth is not the same as practical quantum computing

    Quantum companies are already generating revenue.

    But that revenue comprises hardware sales, government contracts, PoCs, joint research, cloud usage, sensing, and communications.

    What quantum companies are earning and whether quantum computers have become a technology that earns money in production are still not the same thing.

    To assess the current state of commercialization, one should look less at headline revenue and more at who is paying, for what, and whether the payments are ongoing.

    Related articles

    Quantum companies’ revenues have started to rise.

    In Q2 2026, IonQ reported $80.10 million (about ¥12.7 billion), Infleqtion reported $13.50 million (about ¥2.1 billion), Quantinuum reported $8.00 million (about ¥1.27 billion), Rigetti Computing reported $5.10 million (about ¥810 million), and D-Wave Quantum reported $3.10 million (about ¥490 million) in revenue.

    IonQ grew 287% year over year, Quantinuum 279%, and Infleqtion 157%. Looking at the raw numbers, it can appear that the quantum-computing market is rapidly commercializing and monetizing.

    However, what exactly are quantum companies selling to generate these revenues?

    Is it quantum compute time? Physical hardware? Government R&D contracts? Quantum sensing or communications?

    Tracing the current revenue structures of major quantum firms shows that the phrase “commercialization of the quantum market” often contains very different realities than the commonly imagined ‘‘commercialization of quantum computers’’.

    *Currency conversions are approximate, using an exchange rate of $1 ≈ ¥159 as of August 20, 2026.

    IonQ — the $12.7 billion quarter is not purely “quantum compute fees”

    IonQ stands out in Q2 2026.

    Revenue was $80.10 million (about ¥12.7 billion), roughly four times year-over-year and far above other pure-play quantum companies.

    However, it would be inaccurate to interpret this number as “IonQ’s quantum computers were used for about ¥12.7 billion worth of compute.”

    IonQ is no longer a company that only does quantum computing.

    Through successive acquisitions, the company has expanded into quantum networking, quantum security, sensing, photonics, and space-related technologies.

    For Q2 the company said roughly 25% of revenue came from customers using multiple product categories. About 60% of revenue was classified as “commercial,” but the scope of that commercial business has broadened significantly compared with the past.

    The company attributes revenue growth to Tempo quantum computer deployments and cloud usage, as well as demand across its broader “quantum platform.”

    In other words, IonQ’s current revenue should be viewed as

    quantum computing + quantum networking + security + sensing + other quantum-related businesses

    combined.

    While revenue is clearly growing rapidly, that growth alone no longer lets you infer the commercial demand for quantum computers themselves.

    Infleqtion — all quantum, but government contracts remain central

    Infleqtion is also interesting.

    Q2 2026 revenue was $13.50 million (about ¥2.1 billion), a 157% year-over-year increase. The company emphasized that this revenue was “100% organic and entirely from quantum.”

    Unlike IonQ, its growth is not being boosted by acquired non-quantum businesses.

    But “entirely quantum” is not the same as “revenue from commercial use of quantum computers.”

    Infleqtion develops the neutral-atom quantum computer “Sqale,” but it also has significant business lines in atomic clocks and quantum sensing.

    Moreover, government contracts play a large role in the company’s revenue. For example, Infleqtion has a $20 million (about ¥3.18 billion) contract with NASA to develop a spaceborne quantum gravity gradiometer. In Q1 2026 that NASA contract alone increased year-over-year revenue by about $4.0 million (about ¥640 million). The company has also derived revenue from the U.S. Department of Defense, the U.S. Army, the European Space Agency, and Japanese government projects.

    Infleqtion’s revenue is certainly “quantum,” but it includes

    quantum computing, quantum sensing, atomic clocks, and government R&D

    all together.

    Again, revenue from a quantum company should be distinguished from revenue specifically generated by commercial use of quantum computers.

    D-Wave — selling a single machine can change the financials

    D-Wave is one of the clearest examples of the current market structure.

    Q2 2026 revenue was $3.10 million (about ¥490 million), roughly flat year-over-year.

    However, first-half 2025 revenue was $18.10 million (about ¥2.88 billion), while first-half 2026 revenue was $5.90 million (about ¥940 million) — a 67% decline.

    The reason is simple: in the first half of 2025 D-Wave recorded a $13.70 million (about ¥2.18 billion) sale of a quantum computer. Selling one large quantum machine can materially swing annual or quarterly revenue for today’s quantum companies.

    D-Wave also offers a cloud service, Leap, as Quantum Computing as a Service (QCaaS).

    Of Leap’s QCaaS revenue in H1 2026, $1.30 million (about ¥210 million) was classified by D-Wave as revenue from “production applications,” representing 37.3% of total QCaaS revenue. In the prior-year period that figure was $0.30 million (about ¥48 million), or 9.8%.

    On the surface, those numbers suggest that production use of quantum computers is expanding. But this interpretation requires caution.

    Leap provides both direct QPU access and quantum-classical hybrid solvers. The internal workings of the latter are a black box to users: external observers cannot verify whether a QPU was actually used for a given calculation, or to what extent a QPU contributed to the result.

    What these figures do indicate is that D-Wave’s optimization services classified as “production” are being used. They do not definitively quantify the commercial value of the QPU itself.

    D-Wave’s current revenue model combines

    hardware sales + cloud usage + professional services

    with multiple models coexisting.

    Particularly, QCaaS “production” revenue should be read separately from metrics that would directly prove the QPU’s commercial usage.

    Rigetti — selling QPUs as well as offering cloud access

    Rigetti has also broadened how it generates revenue in recent years.

    Q2 2026 revenue was $5.10 million (about ¥810 million). The company attributes revenue growth to sales of the nine-qubit Novera quantum computing system and related products.

    Historically Rigetti provided quantum computing through its cloud QCS and via platforms such as Amazon Braket and Microsoft Azure Quantum.

    More recently, however, sales of QPUs and on-premises quantum systems directly to universities, research institutions, and HPC centers have become notable.

    For example, in Q1 2026 Rigetti sold and shipped a Novera QPU to the University of Saskatchewan in Canada. It is also delivering systems to India’s C-DAC and the Pittsburgh Supercomputing Center.

    What customers are buying in these cases is less a service that accelerates existing business processes and more research equipment to study and validate quantum computers themselves.

    More hardware sales will raise revenue, but that should not automatically be interpreted as equivalent to widespread industrial demand for quantum computation.

    Quantinuum — continuous cloud access as a different model

    Quantinuum presents a somewhat different case.

    Q2 2026 revenue was $8.00 million (about ¥1.27 billion), a 279% year-over-year increase.

    Notably, Quantinuum cites cloud business as the primary driver of its revenue growth.

    Unlike hardware sales or government contracts, cloud usage can build recurring revenue as long as customers keep using it. However, increased cloud usage does not necessarily mean those computations are generating economic value in customers’ production workflows — research, evaluation, and algorithm development are included.

    Still, how far a model that sells continued access to quantum compute capacity rather than the machines themselves can scale will be an important indicator of commercialization in the quantum industry.

    The same “revenue” can mean very different things

    Summarizing so far, current quantum-company revenue falls into at least the following categories.

    Type of revenueTypical examplesCharacteristics
    Sales of quantum computer hardwareD-Wave, RigettiSingle sales can be large, but revenue timing is project-dependent
    Cloud compute usageQuantinuum, D-Wave, IonQ, RigettiCan become recurring/stock-like if usage is sustained
    Government and R&D contractsInfleqtion, etc.A major source of demand in today’s quantum industry
    Quantum sensing and communicationsIonQ, InfleqtionMarkets outside quantum computing
    Professional services and joint researchVarious firmsPoCs, algorithm development, deployment support, etc.

    On the books, these are all simply revenue.

    But their implications for the industry’s maturity are quite different.

    For example, if a research institution buys a $20 million (about ¥3.18 billion) quantum computer, the manufacturer records about ¥3.18 billion in revenue.

    However, that does not necessarily mean that

    “the quantum computer was purchased because using it will generate more than ¥3.18 billion in economic value”

    It might have been bought as research equipment.

    It might be for national strategy reasons, to maintain domestic quantum computing capability.

    Or it might be an R&D investment to prepare for the future.

    Conversely, if a company pays monthly for quantum compute services and continuously reduces logistics or production costs as a result, the same revenue figure has a very different meaning.

    “Commercial customer” does not mean “a company using quantum computers in production”

    This point deserves special attention when assessing the current quantum industry.

    Quantum companies often report revenue from “commercial customers” or “commercial revenue.”

    D-Wave said 62.4% of Q2 2026 revenue came from commercial customers. IonQ also reports about 60% commercial revenue.

    From the headline numbers, one might conclude

    “Sixty percent of revenue comes from private companies using quantum computers in production.”

    But reading it that way today is almost certainly misleading.

    “Commercial customer” simply denotes a non-government, non-research institutional customer.

    Such a customer may be:

    • evaluating a quantum computer’s performance
    • running a proof of concept (PoC)
    • conducting joint research
    • developing algorithms to prepare for the future
    • experimentally using quantum computers on the cloud
    • purchasing quantum sensing or communications products rather than quantum compute

    Any of these activities can qualify a firm as a commercial customer.

    That is entirely different from saying a quantum computer is integrated into a company’s daily operational systems and continuously delivering superior economic value over classical methods.

    Current quantum computers still face substantial limitations in performance, error rates, problem size, and cost.

    At present, cases where one can externally verify that quantum computing has demonstrated clear economic advantage over classical computing and that companies are paying recurring fees for that reason are virtually non-existent. Although D-Wave and others have published multiple “production applications,” the degree to which QPUs contribute within quantum-classical hybrid processing or the associated economic superiority over traditional methods has not been made fully transparent.

    Therefore, when companies announce “commercial customers are increasing,”

    it is best not to interpret that as “quantum computers have begun to be commonly used in enterprise production.”

    Having commercial customers is not the same as proving quantum computers’ commercial value.

    Revenue growth is not the same as practical quantum computing

    Quantum companies are already generating revenue.

    But that revenue comprises hardware sales, government contracts, PoCs, joint research, cloud usage, sensing, and communications.

    What quantum companies are earning and whether quantum computers have become a technology that earns money in production are still not the same thing.

    To assess the current state of commercialization, one should look less at headline revenue and more at who is paying, for what, and whether the payments are ongoing.

    Related articles

    • evaluating a quantum computer’s performance
    • running a proof of concept (PoC)
    • conducting joint research
    • developing algorithms to prepare for the future
    • experimentally using quantum computers on the cloud
    • purchasing quantum sensing or communications products rather than quantum compute

    Any of these activities can qualify a firm as a commercial customer.

    That is entirely different from saying a quantum computer is integrated into a company’s daily operational systems and continuously delivering superior economic value over classical methods.

    Current quantum computers still face substantial limitations in performance, error rates, problem size, and cost.

    At present, cases where one can externally verify that quantum computing has demonstrated clear economic advantage over classical computing and that companies are paying recurring fees for that reason are virtually non-existent. Although D-Wave and others have published multiple “production applications,” the degree to which QPUs contribute within quantum-classical hybrid processing or the associated economic superiority over traditional methods has not been made fully transparent.

    Therefore, when companies announce “commercial customers are increasing,”

    it is best not to interpret that as “quantum computers have begun to be commonly used in enterprise production.”

    Having commercial customers is not the same as proving quantum computers’ commercial value.

    Revenue growth is not the same as practical quantum computing

    Quantum companies are already generating revenue.

    But that revenue comprises hardware sales, government contracts, PoCs, joint research, cloud usage, sensing, and communications.

    What quantum companies are earning and whether quantum computers have become a technology that earns money in production are still not the same thing.

    To assess the current state of commercialization, one should look less at headline revenue and more at who is paying, for what, and whether the payments are ongoing.

    Related articles

    Quantum companies’ revenues have started to rise.

    In Q2 2026, IonQ reported $80.10 million (about ¥12.7 billion), Infleqtion reported $13.50 million (about ¥2.1 billion), Quantinuum reported $8.00 million (about ¥1.27 billion), Rigetti Computing reported $5.10 million (about ¥810 million), and D-Wave Quantum reported $3.10 million (about ¥490 million) in revenue.

    IonQ grew 287% year over year, Quantinuum 279%, and Infleqtion 157%. Looking at the raw numbers, it can appear that the quantum-computing market is rapidly commercializing and monetizing.

    However, what exactly are quantum companies selling to generate these revenues?

    Is it quantum compute time? Physical hardware? Government R&D contracts? Quantum sensing or communications?

    Tracing the current revenue structures of major quantum firms shows that the phrase “commercialization of the quantum market” often contains very different realities than the commonly imagined ‘‘commercialization of quantum computers’’.

    *Currency conversions are approximate, using an exchange rate of $1 ≈ ¥159 as of August 20, 2026.

    IonQ — the $12.7 billion quarter is not purely “quantum compute fees”

    IonQ stands out in Q2 2026.

    Revenue was $80.10 million (about ¥12.7 billion), roughly four times year-over-year and far above other pure-play quantum companies.

    However, it would be inaccurate to interpret this number as “IonQ’s quantum computers were used for about ¥12.7 billion worth of compute.”

    IonQ is no longer a company that only does quantum computing.

    Through successive acquisitions, the company has expanded into quantum networking, quantum security, sensing, photonics, and space-related technologies.

    For Q2 the company said roughly 25% of revenue came from customers using multiple product categories. About 60% of revenue was classified as “commercial,” but the scope of that commercial business has broadened significantly compared with the past.

    The company attributes revenue growth to Tempo quantum computer deployments and cloud usage, as well as demand across its broader “quantum platform.”

    In other words, IonQ’s current revenue should be viewed as

    quantum computing + quantum networking + security + sensing + other quantum-related businesses

    combined.

    While revenue is clearly growing rapidly, that growth alone no longer lets you infer the commercial demand for quantum computers themselves.

    Infleqtion — all quantum, but government contracts remain central

    Infleqtion is also interesting.

    Q2 2026 revenue was $13.50 million (about ¥2.1 billion), a 157% year-over-year increase. The company emphasized that this revenue was “100% organic and entirely from quantum.”

    Unlike IonQ, its growth is not being boosted by acquired non-quantum businesses.

    But “entirely quantum” is not the same as “revenue from commercial use of quantum computers.”

    Infleqtion develops the neutral-atom quantum computer “Sqale,” but it also has significant business lines in atomic clocks and quantum sensing.

    Moreover, government contracts play a large role in the company’s revenue. For example, Infleqtion has a $20 million (about ¥3.18 billion) contract with NASA to develop a spaceborne quantum gravity gradiometer. In Q1 2026 that NASA contract alone increased year-over-year revenue by about $4.0 million (about ¥640 million). The company has also derived revenue from the U.S. Department of Defense, the U.S. Army, the European Space Agency, and Japanese government projects.

    Infleqtion’s revenue is certainly “quantum,” but it includes

    quantum computing, quantum sensing, atomic clocks, and government R&D

    all together.

    Again, revenue from a quantum company should be distinguished from revenue specifically generated by commercial use of quantum computers.

    D-Wave — selling a single machine can change the financials

    D-Wave is one of the clearest examples of the current market structure.

    Q2 2026 revenue was $3.10 million (about ¥490 million), roughly flat year-over-year.

    However, first-half 2025 revenue was $18.10 million (about ¥2.88 billion), while first-half 2026 revenue was $5.90 million (about ¥940 million) — a 67% decline.

    The reason is simple: in the first half of 2025 D-Wave recorded a $13.70 million (about ¥2.18 billion) sale of a quantum computer. Selling one large quantum machine can materially swing annual or quarterly revenue for today’s quantum companies.

    D-Wave also offers a cloud service, Leap, as Quantum Computing as a Service (QCaaS).

    Of Leap’s QCaaS revenue in H1 2026, $1.30 million (about ¥210 million) was classified by D-Wave as revenue from “production applications,” representing 37.3% of total QCaaS revenue. In the prior-year period that figure was $0.30 million (about ¥48 million), or 9.8%.

    On the surface, those numbers suggest that production use of quantum computers is expanding. But this interpretation requires caution.

    Leap provides both direct QPU access and quantum-classical hybrid solvers. The internal workings of the latter are a black box to users: external observers cannot verify whether a QPU was actually used for a given calculation, or to what extent a QPU contributed to the result.

    What these figures do indicate is that D-Wave’s optimization services classified as “production” are being used. They do not definitively quantify the commercial value of the QPU itself.

    D-Wave’s current revenue model combines

    hardware sales + cloud usage + professional services

    with multiple models coexisting.

    Particularly, QCaaS “production” revenue should be read separately from metrics that would directly prove the QPU’s commercial usage.

    Rigetti — selling QPUs as well as offering cloud access

    Rigetti has also broadened how it generates revenue in recent years.

    Q2 2026 revenue was $5.10 million (about ¥810 million). The company attributes revenue growth to sales of the nine-qubit Novera quantum computing system and related products.

    Historically Rigetti provided quantum computing through its cloud QCS and via platforms such as Amazon Braket and Microsoft Azure Quantum.

    More recently, however, sales of QPUs and on-premises quantum systems directly to universities, research institutions, and HPC centers have become notable.

    For example, in Q1 2026 Rigetti sold and shipped a Novera QPU to the University of Saskatchewan in Canada. It is also delivering systems to India’s C-DAC and the Pittsburgh Supercomputing Center.

    What customers are buying in these cases is less a service that accelerates existing business processes and more research equipment to study and validate quantum computers themselves.

    More hardware sales will raise revenue, but that should not automatically be interpreted as equivalent to widespread industrial demand for quantum computation.

    Quantinuum — continuous cloud access as a different model

    Quantinuum presents a somewhat different case.

    Q2 2026 revenue was $8.00 million (about ¥1.27 billion), a 279% year-over-year increase.

    Notably, Quantinuum cites cloud business as the primary driver of its revenue growth.

    Unlike hardware sales or government contracts, cloud usage can build recurring revenue as long as customers keep using it. However, increased cloud usage does not necessarily mean those computations are generating economic value in customers’ production workflows — research, evaluation, and algorithm development are included.

    Still, how far a model that sells continued access to quantum compute capacity rather than the machines themselves can scale will be an important indicator of commercialization in the quantum industry.

    The same “revenue” can mean very different things

    Summarizing so far, current quantum-company revenue falls into at least the following categories.

    Type of revenueTypical examplesCharacteristics
    Sales of quantum computer hardwareD-Wave, RigettiSingle sales can be large, but revenue timing is project-dependent
    Cloud compute usageQuantinuum, D-Wave, IonQ, RigettiCan become recurring/stock-like if usage is sustained
    Government and R&D contractsInfleqtion, etc.A major source of demand in today’s quantum industry
    Quantum sensing and communicationsIonQ, InfleqtionMarkets outside quantum computing
    Professional services and joint researchVarious firmsPoCs, algorithm development, deployment support, etc.

    On the books, these are all simply revenue.

    But their implications for the industry’s maturity are quite different.

    For example, if a research institution buys a $20 million (about ¥3.18 billion) quantum computer, the manufacturer records about ¥3.18 billion in revenue.

    However, that does not necessarily mean that

    “the quantum computer was purchased because using it will generate more than ¥3.18 billion in economic value”

    It might have been bought as research equipment.

    It might be for national strategy reasons, to maintain domestic quantum computing capability.

    Or it might be an R&D investment to prepare for the future.

    Conversely, if a company pays monthly for quantum compute services and continuously reduces logistics or production costs as a result, the same revenue figure has a very different meaning.

    “Commercial customer” does not mean “a company using quantum computers in production”

    This point deserves special attention when assessing the current quantum industry.

    Quantum companies often report revenue from “commercial customers” or “commercial revenue.”

    D-Wave said 62.4% of Q2 2026 revenue came from commercial customers. IonQ also reports about 60% commercial revenue.

    From the headline numbers, one might conclude

    “Sixty percent of revenue comes from private companies using quantum computers in production.”

    But reading it that way today is almost certainly misleading.

    “Commercial customer” simply denotes a non-government, non-research institutional customer.

    Such a customer may be:

    • evaluating a quantum computer’s performance
    • running a proof of concept (PoC)
    • conducting joint research
    • developing algorithms to prepare for the future
    • experimentally using quantum computers on the cloud
    • purchasing quantum sensing or communications products rather than quantum compute

    Any of these activities can qualify a firm as a commercial customer.

    That is entirely different from saying a quantum computer is integrated into a company’s daily operational systems and continuously delivering superior economic value over classical methods.

    Current quantum computers still face substantial limitations in performance, error rates, problem size, and cost.

    At present, cases where one can externally verify that quantum computing has demonstrated clear economic advantage over classical computing and that companies are paying recurring fees for that reason are virtually non-existent. Although D-Wave and others have published multiple “production applications,” the degree to which QPUs contribute within quantum-classical hybrid processing or the associated economic superiority over traditional methods has not been made fully transparent.

    Therefore, when companies announce “commercial customers are increasing,”

    it is best not to interpret that as “quantum computers have begun to be commonly used in enterprise production.”

    Having commercial customers is not the same as proving quantum computers’ commercial value.

    Revenue growth is not the same as practical quantum computing

    Quantum companies are already generating revenue.

    But that revenue comprises hardware sales, government contracts, PoCs, joint research, cloud usage, sensing, and communications.

    What quantum companies are earning and whether quantum computers have become a technology that earns money in production are still not the same thing.

    To assess the current state of commercialization, one should look less at headline revenue and more at who is paying, for what, and whether the payments are ongoing.

    Related articles

    • evaluating a quantum computer’s performance
    • running a proof of concept (PoC)
    • conducting joint research
    • developing algorithms to prepare for the future
    • experimentally using quantum computers on the cloud
    • purchasing quantum sensing or communications products rather than quantum compute

    Any of these activities can qualify a firm as a commercial customer.

    That is entirely different from saying a quantum computer is integrated into a company’s daily operational systems and continuously delivering superior economic value over classical methods.

    Current quantum computers still face substantial limitations in performance, error rates, problem size, and cost.

    At present, cases where one can externally verify that quantum computing has demonstrated clear economic advantage over classical computing and that companies are paying recurring fees for that reason are virtually non-existent. Although D-Wave and others have published multiple “production applications,” the degree to which QPUs contribute within quantum-classical hybrid processing or the associated economic superiority over traditional methods has not been made fully transparent.

    Therefore, when companies announce “commercial customers are increasing,”

    it is best not to interpret that as “quantum computers have begun to be commonly used in enterprise production.”

    Having commercial customers is not the same as proving quantum computers’ commercial value.

    Revenue growth is not the same as practical quantum computing

    Quantum companies are already generating revenue.

    But that revenue comprises hardware sales, government contracts, PoCs, joint research, cloud usage, sensing, and communications.

    What quantum companies are earning and whether quantum computers have become a technology that earns money in production are still not the same thing.

    To assess the current state of commercialization, one should look less at headline revenue and more at who is paying, for what, and whether the payments are ongoing.

    Related articles

    Quantum companies’ revenues have started to rise.

    In Q2 2026, IonQ reported $80.10 million (about ¥12.7 billion), Infleqtion reported $13.50 million (about ¥2.1 billion), Quantinuum reported $8.00 million (about ¥1.27 billion), Rigetti Computing reported $5.10 million (about ¥810 million), and D-Wave Quantum reported $3.10 million (about ¥490 million) in revenue.

    IonQ grew 287% year over year, Quantinuum 279%, and Infleqtion 157%. Looking at the raw numbers, it can appear that the quantum-computing market is rapidly commercializing and monetizing.

    However, what exactly are quantum companies selling to generate these revenues?

    Is it quantum compute time? Physical hardware? Government R&D contracts? Quantum sensing or communications?

    Tracing the current revenue structures of major quantum firms shows that the phrase “commercialization of the quantum market” often contains very different realities than the commonly imagined ‘‘commercialization of quantum computers’’.

    *Currency conversions are approximate, using an exchange rate of $1 ≈ ¥159 as of August 20, 2026.

    IonQ — the $12.7 billion quarter is not purely “quantum compute fees”

    IonQ stands out in Q2 2026.

    Revenue was $80.10 million (about ¥12.7 billion), roughly four times year-over-year and far above other pure-play quantum companies.

    However, it would be inaccurate to interpret this number as “IonQ’s quantum computers were used for about ¥12.7 billion worth of compute.”

    IonQ is no longer a company that only does quantum computing.

    Through successive acquisitions, the company has expanded into quantum networking, quantum security, sensing, photonics, and space-related technologies.

    For Q2 the company said roughly 25% of revenue came from customers using multiple product categories. About 60% of revenue was classified as “commercial,” but the scope of that commercial business has broadened significantly compared with the past.

    The company attributes revenue growth to Tempo quantum computer deployments and cloud usage, as well as demand across its broader “quantum platform.”

    In other words, IonQ’s current revenue should be viewed as

    quantum computing + quantum networking + security + sensing + other quantum-related businesses

    combined.

    While revenue is clearly growing rapidly, that growth alone no longer lets you infer the commercial demand for quantum computers themselves.

    Infleqtion — all quantum, but government contracts remain central

    Infleqtion is also interesting.

    Q2 2026 revenue was $13.50 million (about ¥2.1 billion), a 157% year-over-year increase. The company emphasized that this revenue was “100% organic and entirely from quantum.”

    Unlike IonQ, its growth is not being boosted by acquired non-quantum businesses.

    But “entirely quantum” is not the same as “revenue from commercial use of quantum computers.”

    Infleqtion develops the neutral-atom quantum computer “Sqale,” but it also has significant business lines in atomic clocks and quantum sensing.

    Moreover, government contracts play a large role in the company’s revenue. For example, Infleqtion has a $20 million (about ¥3.18 billion) contract with NASA to develop a spaceborne quantum gravity gradiometer. In Q1 2026 that NASA contract alone increased year-over-year revenue by about $4.0 million (about ¥640 million). The company has also derived revenue from the U.S. Department of Defense, the U.S. Army, the European Space Agency, and Japanese government projects.

    Infleqtion’s revenue is certainly “quantum,” but it includes

    quantum computing, quantum sensing, atomic clocks, and government R&D

    all together.

    Again, revenue from a quantum company should be distinguished from revenue specifically generated by commercial use of quantum computers.

    D-Wave — selling a single machine can change the financials

    D-Wave is one of the clearest examples of the current market structure.

    Q2 2026 revenue was $3.10 million (about ¥490 million), roughly flat year-over-year.

    However, first-half 2025 revenue was $18.10 million (about ¥2.88 billion), while first-half 2026 revenue was $5.90 million (about ¥940 million) — a 67% decline.

    The reason is simple: in the first half of 2025 D-Wave recorded a $13.70 million (about ¥2.18 billion) sale of a quantum computer. Selling one large quantum machine can materially swing annual or quarterly revenue for today’s quantum companies.

    D-Wave also offers a cloud service, Leap, as Quantum Computing as a Service (QCaaS).

    Of Leap’s QCaaS revenue in H1 2026, $1.30 million (about ¥210 million) was classified by D-Wave as revenue from “production applications,” representing 37.3% of total QCaaS revenue. In the prior-year period that figure was $0.30 million (about ¥48 million), or 9.8%.

    On the surface, those numbers suggest that production use of quantum computers is expanding. But this interpretation requires caution.

    Leap provides both direct QPU access and quantum-classical hybrid solvers. The internal workings of the latter are a black box to users: external observers cannot verify whether a QPU was actually used for a given calculation, or to what extent a QPU contributed to the result.

    What these figures do indicate is that D-Wave’s optimization services classified as “production” are being used. They do not definitively quantify the commercial value of the QPU itself.

    D-Wave’s current revenue model combines

    hardware sales + cloud usage + professional services

    with multiple models coexisting.

    Particularly, QCaaS “production” revenue should be read separately from metrics that would directly prove the QPU’s commercial usage.

    Rigetti — selling QPUs as well as offering cloud access

    Rigetti has also broadened how it generates revenue in recent years.

    Q2 2026 revenue was $5.10 million (about ¥810 million). The company attributes revenue growth to sales of the nine-qubit Novera quantum computing system and related products.

    Historically Rigetti provided quantum computing through its cloud QCS and via platforms such as Amazon Braket and Microsoft Azure Quantum.

    More recently, however, sales of QPUs and on-premises quantum systems directly to universities, research institutions, and HPC centers have become notable.

    For example, in Q1 2026 Rigetti sold and shipped a Novera QPU to the University of Saskatchewan in Canada. It is also delivering systems to India’s C-DAC and the Pittsburgh Supercomputing Center.

    What customers are buying in these cases is less a service that accelerates existing business processes and more research equipment to study and validate quantum computers themselves.

    More hardware sales will raise revenue, but that should not automatically be interpreted as equivalent to widespread industrial demand for quantum computation.

    Quantinuum — continuous cloud access as a different model

    Quantinuum presents a somewhat different case.

    Q2 2026 revenue was $8.00 million (about ¥1.27 billion), a 279% year-over-year increase.

    Notably, Quantinuum cites cloud business as the primary driver of its revenue growth.

    Unlike hardware sales or government contracts, cloud usage can build recurring revenue as long as customers keep using it. However, increased cloud usage does not necessarily mean those computations are generating economic value in customers’ production workflows — research, evaluation, and algorithm development are included.

    Still, how far a model that sells continued access to quantum compute capacity rather than the machines themselves can scale will be an important indicator of commercialization in the quantum industry.

    The same “revenue” can mean very different things

    Summarizing so far, current quantum-company revenue falls into at least the following categories.

    Type of revenueTypical examplesCharacteristics
    Sales of quantum computer hardwareD-Wave, RigettiSingle sales can be large, but revenue timing is project-dependent
    Cloud compute usageQuantinuum, D-Wave, IonQ, RigettiCan become recurring/stock-like if usage is sustained
    Government and R&D contractsInfleqtion, etc.A major source of demand in today’s quantum industry
    Quantum sensing and communicationsIonQ, InfleqtionMarkets outside quantum computing
    Professional services and joint researchVarious firmsPoCs, algorithm development, deployment support, etc.

    On the books, these are all simply revenue.

    But their implications for the industry’s maturity are quite different.

    For example, if a research institution buys a $20 million (about ¥3.18 billion) quantum computer, the manufacturer records about ¥3.18 billion in revenue.

    However, that does not necessarily mean that

    “the quantum computer was purchased because using it will generate more than ¥3.18 billion in economic value”

    It might have been bought as research equipment.

    It might be for national strategy reasons, to maintain domestic quantum computing capability.

    Or it might be an R&D investment to prepare for the future.

    Conversely, if a company pays monthly for quantum compute services and continuously reduces logistics or production costs as a result, the same revenue figure has a very different meaning.

    “Commercial customer” does not mean “a company using quantum computers in production”

    This point deserves special attention when assessing the current quantum industry.

    Quantum companies often report revenue from “commercial customers” or “commercial revenue.”

    D-Wave said 62.4% of Q2 2026 revenue came from commercial customers. IonQ also reports about 60% commercial revenue.

    From the headline numbers, one might conclude

    “Sixty percent of revenue comes from private companies using quantum computers in production.”

    But reading it that way today is almost certainly misleading.

    “Commercial customer” simply denotes a non-government, non-research institutional customer.

    Such a customer may be:

    • evaluating a quantum computer’s performance
    • running a proof of concept (PoC)
    • conducting joint research
    • developing algorithms to prepare for the future
    • experimentally using quantum computers on the cloud
    • purchasing quantum sensing or communications products rather than quantum compute

    Any of these activities can qualify a firm as a commercial customer.

    That is entirely different from saying a quantum computer is integrated into a company’s daily operational systems and continuously delivering superior economic value over classical methods.

    Current quantum computers still face substantial limitations in performance, error rates, problem size, and cost.

    At present, cases where one can externally verify that quantum computing has demonstrated clear economic advantage over classical computing and that companies are paying recurring fees for that reason are virtually non-existent. Although D-Wave and others have published multiple “production applications,” the degree to which QPUs contribute within quantum-classical hybrid processing or the associated economic superiority over traditional methods has not been made fully transparent.

    Therefore, when companies announce “commercial customers are increasing,”

    it is best not to interpret that as “quantum computers have begun to be commonly used in enterprise production.”

    Having commercial customers is not the same as proving quantum computers’ commercial value.

    Revenue growth is not the same as practical quantum computing

    Quantum companies are already generating revenue.

    But that revenue comprises hardware sales, government contracts, PoCs, joint research, cloud usage, sensing, and communications.

    What quantum companies are earning and whether quantum computers have become a technology that earns money in production are still not the same thing.

    To assess the current state of commercialization, one should look less at headline revenue and more at who is paying, for what, and whether the payments are ongoing.

    Related articles

  • IonQ, Q2 2026 revenue up 287% year over year; raises full-year guidance
  • Infleqtion corrects Q2 2026 revenue to $13.5M; raises full-year outlook
  • Quantinuum Q2 2026 revenue up 279% year over year; announces Helios logical fidelity
  • Rigetti Q2 2026 revenue $5.1M; publishes performance of 108-qubit machine
  • D-Wave Q2 2026 revenue $3.1M; first-half bookings increased more than twelvefold
    • evaluating a quantum computer’s performance
    • running a proof of concept (PoC)
    • conducting joint research
    • developing algorithms to prepare for the future
    • experimentally using quantum computers on the cloud
    • purchasing quantum sensing or communications products rather than quantum compute

    Any of these activities can qualify a firm as a commercial customer.

    That is entirely different from saying a quantum computer is integrated into a company’s daily operational systems and continuously delivering superior economic value over classical methods.

    Current quantum computers still face substantial limitations in performance, error rates, problem size, and cost.

    At present, cases where one can externally verify that quantum computing has demonstrated clear economic advantage over classical computing and that companies are paying recurring fees for that reason are virtually non-existent. Although D-Wave and others have published multiple “production applications,” the degree to which QPUs contribute within quantum-classical hybrid processing or the associated economic superiority over traditional methods has not been made fully transparent.

    Therefore, when companies announce “commercial customers are increasing,”

    it is best not to interpret that as “quantum computers have begun to be commonly used in enterprise production.”

    Having commercial customers is not the same as proving quantum computers’ commercial value.

    Revenue growth is not the same as practical quantum computing

    Quantum companies are already generating revenue.

    But that revenue comprises hardware sales, government contracts, PoCs, joint research, cloud usage, sensing, and communications.

    What quantum companies are earning and whether quantum computers have become a technology that earns money in production are still not the same thing.

    To assess the current state of commercialization, one should look less at headline revenue and more at who is paying, for what, and whether the payments are ongoing.

    Related articles

    Quantum companies’ revenues have started to rise.

    In Q2 2026, IonQ reported $80.10 million (about ¥12.7 billion), Infleqtion reported $13.50 million (about ¥2.1 billion), Quantinuum reported $8.00 million (about ¥1.27 billion), Rigetti Computing reported $5.10 million (about ¥810 million), and D-Wave Quantum reported $3.10 million (about ¥490 million) in revenue.

    IonQ grew 287% year over year, Quantinuum 279%, and Infleqtion 157%. Looking at the raw numbers, it can appear that the quantum-computing market is rapidly commercializing and monetizing.

    However, what exactly are quantum companies selling to generate these revenues?

    Is it quantum compute time? Physical hardware? Government R&D contracts? Quantum sensing or communications?

    Tracing the current revenue structures of major quantum firms shows that the phrase “commercialization of the quantum market” often contains very different realities than the commonly imagined ‘‘commercialization of quantum computers’’.

    *Currency conversions are approximate, using an exchange rate of $1 ≈ ¥159 as of August 20, 2026.

    IonQ — the $12.7 billion quarter is not purely “quantum compute fees”

    IonQ stands out in Q2 2026.

    Revenue was $80.10 million (about ¥12.7 billion), roughly four times year-over-year and far above other pure-play quantum companies.

    However, it would be inaccurate to interpret this number as “IonQ’s quantum computers were used for about ¥12.7 billion worth of compute.”

    IonQ is no longer a company that only does quantum computing.

    Through successive acquisitions, the company has expanded into quantum networking, quantum security, sensing, photonics, and space-related technologies.

    For Q2 the company said roughly 25% of revenue came from customers using multiple product categories. About 60% of revenue was classified as “commercial,” but the scope of that commercial business has broadened significantly compared with the past.

    The company attributes revenue growth to Tempo quantum computer deployments and cloud usage, as well as demand across its broader “quantum platform.”

    In other words, IonQ’s current revenue should be viewed as

    quantum computing + quantum networking + security + sensing + other quantum-related businesses

    combined.

    While revenue is clearly growing rapidly, that growth alone no longer lets you infer the commercial demand for quantum computers themselves.

    Infleqtion — all quantum, but government contracts remain central

    Infleqtion is also interesting.

    Q2 2026 revenue was $13.50 million (about ¥2.1 billion), a 157% year-over-year increase. The company emphasized that this revenue was “100% organic and entirely from quantum.”

    Unlike IonQ, its growth is not being boosted by acquired non-quantum businesses.

    But “entirely quantum” is not the same as “revenue from commercial use of quantum computers.”

    Infleqtion develops the neutral-atom quantum computer “Sqale,” but it also has significant business lines in atomic clocks and quantum sensing.

    Moreover, government contracts play a large role in the company’s revenue. For example, Infleqtion has a $20 million (about ¥3.18 billion) contract with NASA to develop a spaceborne quantum gravity gradiometer. In Q1 2026 that NASA contract alone increased year-over-year revenue by about $4.0 million (about ¥640 million). The company has also derived revenue from the U.S. Department of Defense, the U.S. Army, the European Space Agency, and Japanese government projects.

    Infleqtion’s revenue is certainly “quantum,” but it includes

    quantum computing, quantum sensing, atomic clocks, and government R&D

    all together.

    Again, revenue from a quantum company should be distinguished from revenue specifically generated by commercial use of quantum computers.

    D-Wave — selling a single machine can change the financials

    D-Wave is one of the clearest examples of the current market structure.

    Q2 2026 revenue was $3.10 million (about ¥490 million), roughly flat year-over-year.

    However, first-half 2025 revenue was $18.10 million (about ¥2.88 billion), while first-half 2026 revenue was $5.90 million (about ¥940 million) — a 67% decline.

    The reason is simple: in the first half of 2025 D-Wave recorded a $13.70 million (about ¥2.18 billion) sale of a quantum computer. Selling one large quantum machine can materially swing annual or quarterly revenue for today’s quantum companies.

    D-Wave also offers a cloud service, Leap, as Quantum Computing as a Service (QCaaS).

    Of Leap’s QCaaS revenue in H1 2026, $1.30 million (about ¥210 million) was classified by D-Wave as revenue from “production applications,” representing 37.3% of total QCaaS revenue. In the prior-year period that figure was $0.30 million (about ¥48 million), or 9.8%.

    On the surface, those numbers suggest that production use of quantum computers is expanding. But this interpretation requires caution.

    Leap provides both direct QPU access and quantum-classical hybrid solvers. The internal workings of the latter are a black box to users: external observers cannot verify whether a QPU was actually used for a given calculation, or to what extent a QPU contributed to the result.

    What these figures do indicate is that D-Wave’s optimization services classified as “production” are being used. They do not definitively quantify the commercial value of the QPU itself.

    D-Wave’s current revenue model combines

    hardware sales + cloud usage + professional services

    with multiple models coexisting.

    Particularly, QCaaS “production” revenue should be read separately from metrics that would directly prove the QPU’s commercial usage.

    Rigetti — selling QPUs as well as offering cloud access

    Rigetti has also broadened how it generates revenue in recent years.

    Q2 2026 revenue was $5.10 million (about ¥810 million). The company attributes revenue growth to sales of the nine-qubit Novera quantum computing system and related products.

    Historically Rigetti provided quantum computing through its cloud QCS and via platforms such as Amazon Braket and Microsoft Azure Quantum.

    More recently, however, sales of QPUs and on-premises quantum systems directly to universities, research institutions, and HPC centers have become notable.

    For example, in Q1 2026 Rigetti sold and shipped a Novera QPU to the University of Saskatchewan in Canada. It is also delivering systems to India’s C-DAC and the Pittsburgh Supercomputing Center.

    What customers are buying in these cases is less a service that accelerates existing business processes and more research equipment to study and validate quantum computers themselves.

    More hardware sales will raise revenue, but that should not automatically be interpreted as equivalent to widespread industrial demand for quantum computation.

    Quantinuum — continuous cloud access as a different model

    Quantinuum presents a somewhat different case.

    Q2 2026 revenue was $8.00 million (about ¥1.27 billion), a 279% year-over-year increase.

    Notably, Quantinuum cites cloud business as the primary driver of its revenue growth.

    Unlike hardware sales or government contracts, cloud usage can build recurring revenue as long as customers keep using it. However, increased cloud usage does not necessarily mean those computations are generating economic value in customers’ production workflows — research, evaluation, and algorithm development are included.

    Still, how far a model that sells continued access to quantum compute capacity rather than the machines themselves can scale will be an important indicator of commercialization in the quantum industry.

    The same “revenue” can mean very different things

    Summarizing so far, current quantum-company revenue falls into at least the following categories.

    Type of revenueTypical examplesCharacteristics
    Sales of quantum computer hardwareD-Wave, RigettiSingle sales can be large, but revenue timing is project-dependent
    Cloud compute usageQuantinuum, D-Wave, IonQ, RigettiCan become recurring/stock-like if usage is sustained
    Government and R&D contractsInfleqtion, etc.A major source of demand in today’s quantum industry
    Quantum sensing and communicationsIonQ, InfleqtionMarkets outside quantum computing
    Professional services and joint researchVarious firmsPoCs, algorithm development, deployment support, etc.

    On the books, these are all simply revenue.

    But their implications for the industry’s maturity are quite different.

    For example, if a research institution buys a $20 million (about ¥3.18 billion) quantum computer, the manufacturer records about ¥3.18 billion in revenue.

    However, that does not necessarily mean that

    “the quantum computer was purchased because using it will generate more than ¥3.18 billion in economic value”

    It might have been bought as research equipment.

    It might be for national strategy reasons, to maintain domestic quantum computing capability.

    Or it might be an R&D investment to prepare for the future.

    Conversely, if a company pays monthly for quantum compute services and continuously reduces logistics or production costs as a result, the same revenue figure has a very different meaning.

    “Commercial customer” does not mean “a company using quantum computers in production”

    This point deserves special attention when assessing the current quantum industry.

    Quantum companies often report revenue from “commercial customers” or “commercial revenue.”

    D-Wave said 62.4% of Q2 2026 revenue came from commercial customers. IonQ also reports about 60% commercial revenue.

    From the headline numbers, one might conclude

    “Sixty percent of revenue comes from private companies using quantum computers in production.”

    But reading it that way today is almost certainly misleading.

    “Commercial customer” simply denotes a non-government, non-research institutional customer.

    Such a customer may be:

    • evaluating a quantum computer’s performance
    • running a proof of concept (PoC)
    • conducting joint research
    • developing algorithms to prepare for the future
    • experimentally using quantum computers on the cloud
    • purchasing quantum sensing or communications products rather than quantum compute

    Any of these activities can qualify a firm as a commercial customer.

    That is entirely different from saying a quantum computer is integrated into a company’s daily operational systems and continuously delivering superior economic value over classical methods.

    Current quantum computers still face substantial limitations in performance, error rates, problem size, and cost.

    At present, cases where one can externally verify that quantum computing has demonstrated clear economic advantage over classical computing and that companies are paying recurring fees for that reason are virtually non-existent. Although D-Wave and others have published multiple “production applications,” the degree to which QPUs contribute within quantum-classical hybrid processing or the associated economic superiority over traditional methods has not been made fully transparent.

    Therefore, when companies announce “commercial customers are increasing,”

    it is best not to interpret that as “quantum computers have begun to be commonly used in enterprise production.”

    Having commercial customers is not the same as proving quantum computers’ commercial value.

    Revenue growth is not the same as practical quantum computing

    Quantum companies are already generating revenue.

    But that revenue comprises hardware sales, government contracts, PoCs, joint research, cloud usage, sensing, and communications.

    What quantum companies are earning and whether quantum computers have become a technology that earns money in production are still not the same thing.

    To assess the current state of commercialization, one should look less at headline revenue and more at who is paying, for what, and whether the payments are ongoing.

    Related articles

    • evaluating a quantum computer’s performance
    • running a proof of concept (PoC)
    • conducting joint research
    • developing algorithms to prepare for the future
    • experimentally using quantum computers on the cloud
    • purchasing quantum sensing or communications products rather than quantum compute

    Any of these activities can qualify a firm as a commercial customer.

    That is entirely different from saying a quantum computer is integrated into a company’s daily operational systems and continuously delivering superior economic value over classical methods.

    Current quantum computers still face substantial limitations in performance, error rates, problem size, and cost.

    At present, cases where one can externally verify that quantum computing has demonstrated clear economic advantage over classical computing and that companies are paying recurring fees for that reason are virtually non-existent. Although D-Wave and others have published multiple “production applications,” the degree to which QPUs contribute within quantum-classical hybrid processing or the associated economic superiority over traditional methods has not been made fully transparent.

    Therefore, when companies announce “commercial customers are increasing,”

    it is best not to interpret that as “quantum computers have begun to be commonly used in enterprise production.”

    Having commercial customers is not the same as proving quantum computers’ commercial value.

    Revenue growth is not the same as practical quantum computing

    Quantum companies are already generating revenue.

    But that revenue comprises hardware sales, government contracts, PoCs, joint research, cloud usage, sensing, and communications.

    What quantum companies are earning and whether quantum computers have become a technology that earns money in production are still not the same thing.

    To assess the current state of commercialization, one should look less at headline revenue and more at who is paying, for what, and whether the payments are ongoing.

    Related articles

    Quantum companies’ revenues have started to rise.

    In Q2 2026, IonQ reported $80.10 million (about ¥12.7 billion), Infleqtion reported $13.50 million (about ¥2.1 billion), Quantinuum reported $8.00 million (about ¥1.27 billion), Rigetti Computing reported $5.10 million (about ¥810 million), and D-Wave Quantum reported $3.10 million (about ¥490 million) in revenue.

    IonQ grew 287% year over year, Quantinuum 279%, and Infleqtion 157%. Looking at the raw numbers, it can appear that the quantum-computing market is rapidly commercializing and monetizing.

    However, what exactly are quantum companies selling to generate these revenues?

    Is it quantum compute time? Physical hardware? Government R&D contracts? Quantum sensing or communications?

    Tracing the current revenue structures of major quantum firms shows that the phrase “commercialization of the quantum market” often contains very different realities than the commonly imagined ‘‘commercialization of quantum computers’’.

    *Currency conversions are approximate, using an exchange rate of $1 ≈ ¥159 as of August 20, 2026.

    IonQ — the $12.7 billion quarter is not purely “quantum compute fees”

    IonQ stands out in Q2 2026.

    Revenue was $80.10 million (about ¥12.7 billion), roughly four times year-over-year and far above other pure-play quantum companies.

    However, it would be inaccurate to interpret this number as “IonQ’s quantum computers were used for about ¥12.7 billion worth of compute.”

    IonQ is no longer a company that only does quantum computing.

    Through successive acquisitions, the company has expanded into quantum networking, quantum security, sensing, photonics, and space-related technologies.

    For Q2 the company said roughly 25% of revenue came from customers using multiple product categories. About 60% of revenue was classified as “commercial,” but the scope of that commercial business has broadened significantly compared with the past.

    The company attributes revenue growth to Tempo quantum computer deployments and cloud usage, as well as demand across its broader “quantum platform.”

    In other words, IonQ’s current revenue should be viewed as

    quantum computing + quantum networking + security + sensing + other quantum-related businesses

    combined.

    While revenue is clearly growing rapidly, that growth alone no longer lets you infer the commercial demand for quantum computers themselves.

    Infleqtion — all quantum, but government contracts remain central

    Infleqtion is also interesting.

    Q2 2026 revenue was $13.50 million (about ¥2.1 billion), a 157% year-over-year increase. The company emphasized that this revenue was “100% organic and entirely from quantum.”

    Unlike IonQ, its growth is not being boosted by acquired non-quantum businesses.

    But “entirely quantum” is not the same as “revenue from commercial use of quantum computers.”

    Infleqtion develops the neutral-atom quantum computer “Sqale,” but it also has significant business lines in atomic clocks and quantum sensing.

    Moreover, government contracts play a large role in the company’s revenue. For example, Infleqtion has a $20 million (about ¥3.18 billion) contract with NASA to develop a spaceborne quantum gravity gradiometer. In Q1 2026 that NASA contract alone increased year-over-year revenue by about $4.0 million (about ¥640 million). The company has also derived revenue from the U.S. Department of Defense, the U.S. Army, the European Space Agency, and Japanese government projects.

    Infleqtion’s revenue is certainly “quantum,” but it includes

    quantum computing, quantum sensing, atomic clocks, and government R&D

    all together.

    Again, revenue from a quantum company should be distinguished from revenue specifically generated by commercial use of quantum computers.

    D-Wave — selling a single machine can change the financials

    D-Wave is one of the clearest examples of the current market structure.

    Q2 2026 revenue was $3.10 million (about ¥490 million), roughly flat year-over-year.

    However, first-half 2025 revenue was $18.10 million (about ¥2.88 billion), while first-half 2026 revenue was $5.90 million (about ¥940 million) — a 67% decline.

    The reason is simple: in the first half of 2025 D-Wave recorded a $13.70 million (about ¥2.18 billion) sale of a quantum computer. Selling one large quantum machine can materially swing annual or quarterly revenue for today’s quantum companies.

    D-Wave also offers a cloud service, Leap, as Quantum Computing as a Service (QCaaS).

    Of Leap’s QCaaS revenue in H1 2026, $1.30 million (about ¥210 million) was classified by D-Wave as revenue from “production applications,” representing 37.3% of total QCaaS revenue. In the prior-year period that figure was $0.30 million (about ¥48 million), or 9.8%.

    On the surface, those numbers suggest that production use of quantum computers is expanding. But this interpretation requires caution.

    Leap provides both direct QPU access and quantum-classical hybrid solvers. The internal workings of the latter are a black box to users: external observers cannot verify whether a QPU was actually used for a given calculation, or to what extent a QPU contributed to the result.

    What these figures do indicate is that D-Wave’s optimization services classified as “production” are being used. They do not definitively quantify the commercial value of the QPU itself.

    D-Wave’s current revenue model combines

    hardware sales + cloud usage + professional services

    with multiple models coexisting.

    Particularly, QCaaS “production” revenue should be read separately from metrics that would directly prove the QPU’s commercial usage.

    Rigetti — selling QPUs as well as offering cloud access

    Rigetti has also broadened how it generates revenue in recent years.

    Q2 2026 revenue was $5.10 million (about ¥810 million). The company attributes revenue growth to sales of the nine-qubit Novera quantum computing system and related products.

    Historically Rigetti provided quantum computing through its cloud QCS and via platforms such as Amazon Braket and Microsoft Azure Quantum.

    More recently, however, sales of QPUs and on-premises quantum systems directly to universities, research institutions, and HPC centers have become notable.

    For example, in Q1 2026 Rigetti sold and shipped a Novera QPU to the University of Saskatchewan in Canada. It is also delivering systems to India’s C-DAC and the Pittsburgh Supercomputing Center.

    What customers are buying in these cases is less a service that accelerates existing business processes and more research equipment to study and validate quantum computers themselves.

    More hardware sales will raise revenue, but that should not automatically be interpreted as equivalent to widespread industrial demand for quantum computation.

    Quantinuum — continuous cloud access as a different model

    Quantinuum presents a somewhat different case.

    Q2 2026 revenue was $8.00 million (about ¥1.27 billion), a 279% year-over-year increase.

    Notably, Quantinuum cites cloud business as the primary driver of its revenue growth.

    Unlike hardware sales or government contracts, cloud usage can build recurring revenue as long as customers keep using it. However, increased cloud usage does not necessarily mean those computations are generating economic value in customers’ production workflows — research, evaluation, and algorithm development are included.

    Still, how far a model that sells continued access to quantum compute capacity rather than the machines themselves can scale will be an important indicator of commercialization in the quantum industry.

    The same “revenue” can mean very different things

    Summarizing so far, current quantum-company revenue falls into at least the following categories.

    Type of revenueTypical examplesCharacteristics
    Sales of quantum computer hardwareD-Wave, RigettiSingle sales can be large, but revenue timing is project-dependent
    Cloud compute usageQuantinuum, D-Wave, IonQ, RigettiCan become recurring/stock-like if usage is sustained
    Government and R&D contractsInfleqtion, etc.A major source of demand in today’s quantum industry
    Quantum sensing and communicationsIonQ, InfleqtionMarkets outside quantum computing
    Professional services and joint researchVarious firmsPoCs, algorithm development, deployment support, etc.

    On the books, these are all simply revenue.

    But their implications for the industry’s maturity are quite different.

    For example, if a research institution buys a $20 million (about ¥3.18 billion) quantum computer, the manufacturer records about ¥3.18 billion in revenue.

    However, that does not necessarily mean that

    “the quantum computer was purchased because using it will generate more than ¥3.18 billion in economic value”

    It might have been bought as research equipment.

    It might be for national strategy reasons, to maintain domestic quantum computing capability.

    Or it might be an R&D investment to prepare for the future.

    Conversely, if a company pays monthly for quantum compute services and continuously reduces logistics or production costs as a result, the same revenue figure has a very different meaning.

    “Commercial customer” does not mean “a company using quantum computers in production”

    This point deserves special attention when assessing the current quantum industry.

    Quantum companies often report revenue from “commercial customers” or “commercial revenue.”

    D-Wave said 62.4% of Q2 2026 revenue came from commercial customers. IonQ also reports about 60% commercial revenue.

    From the headline numbers, one might conclude

    “Sixty percent of revenue comes from private companies using quantum computers in production.”

    But reading it that way today is almost certainly misleading.

    “Commercial customer” simply denotes a non-government, non-research institutional customer.

    Such a customer may be:

    • evaluating a quantum computer’s performance
    • running a proof of concept (PoC)
    • conducting joint research
    • developing algorithms to prepare for the future
    • experimentally using quantum computers on the cloud
    • purchasing quantum sensing or communications products rather than quantum compute

    Any of these activities can qualify a firm as a commercial customer.

    That is entirely different from saying a quantum computer is integrated into a company’s daily operational systems and continuously delivering superior economic value over classical methods.

    Current quantum computers still face substantial limitations in performance, error rates, problem size, and cost.

    At present, cases where one can externally verify that quantum computing has demonstrated clear economic advantage over classical computing and that companies are paying recurring fees for that reason are virtually non-existent. Although D-Wave and others have published multiple “production applications,” the degree to which QPUs contribute within quantum-classical hybrid processing or the associated economic superiority over traditional methods has not been made fully transparent.

    Therefore, when companies announce “commercial customers are increasing,”

    it is best not to interpret that as “quantum computers have begun to be commonly used in enterprise production.”

    Having commercial customers is not the same as proving quantum computers’ commercial value.

    Revenue growth is not the same as practical quantum computing

    Quantum companies are already generating revenue.

    But that revenue comprises hardware sales, government contracts, PoCs, joint research, cloud usage, sensing, and communications.

    What quantum companies are earning and whether quantum computers have become a technology that earns money in production are still not the same thing.

    To assess the current state of commercialization, one should look less at headline revenue and more at who is paying, for what, and whether the payments are ongoing.

    Related articles

    • evaluating a quantum computer’s performance
    • running a proof of concept (PoC)
    • conducting joint research
    • developing algorithms to prepare for the future
    • experimentally using quantum computers on the cloud
    • purchasing quantum sensing or communications products rather than quantum compute

    Any of these activities can qualify a firm as a commercial customer.

    That is entirely different from saying a quantum computer is integrated into a company’s daily operational systems and continuously delivering superior economic value over classical methods.

    Current quantum computers still face substantial limitations in performance, error rates, problem size, and cost.

    At present, cases where one can externally verify that quantum computing has demonstrated clear economic advantage over classical computing and that companies are paying recurring fees for that reason are virtually non-existent. Although D-Wave and others have published multiple “production applications,” the degree to which QPUs contribute within quantum-classical hybrid processing or the associated economic superiority over traditional methods has not been made fully transparent.

    Therefore, when companies announce “commercial customers are increasing,”

    it is best not to interpret that as “quantum computers have begun to be commonly used in enterprise production.”

    Having commercial customers is not the same as proving quantum computers’ commercial value.

    Revenue growth is not the same as practical quantum computing

    Quantum companies are already generating revenue.

    But that revenue comprises hardware sales, government contracts, PoCs, joint research, cloud usage, sensing, and communications.

    What quantum companies are earning and whether quantum computers have become a technology that earns money in production are still not the same thing.

    To assess the current state of commercialization, one should look less at headline revenue and more at who is paying, for what, and whether the payments are ongoing.

    Related articles

    Quantum companies’ revenues have started to rise.

    In Q2 2026, IonQ reported $80.10 million (about ¥12.7 billion), Infleqtion reported $13.50 million (about ¥2.1 billion), Quantinuum reported $8.00 million (about ¥1.27 billion), Rigetti Computing reported $5.10 million (about ¥810 million), and D-Wave Quantum reported $3.10 million (about ¥490 million) in revenue.

    IonQ grew 287% year over year, Quantinuum 279%, and Infleqtion 157%. Looking at the raw numbers, it can appear that the quantum-computing market is rapidly commercializing and monetizing.

    However, what exactly are quantum companies selling to generate these revenues?

    Is it quantum compute time? Physical hardware? Government R&D contracts? Quantum sensing or communications?

    Tracing the current revenue structures of major quantum firms shows that the phrase “commercialization of the quantum market” often contains very different realities than the commonly imagined ‘‘commercialization of quantum computers’’.

    *Currency conversions are approximate, using an exchange rate of $1 ≈ ¥159 as of August 20, 2026.

    IonQ — the $12.7 billion quarter is not purely “quantum compute fees”

    IonQ stands out in Q2 2026.

    Revenue was $80.10 million (about ¥12.7 billion), roughly four times year-over-year and far above other pure-play quantum companies.

    However, it would be inaccurate to interpret this number as “IonQ’s quantum computers were used for about ¥12.7 billion worth of compute.”

    IonQ is no longer a company that only does quantum computing.

    Through successive acquisitions, the company has expanded into quantum networking, quantum security, sensing, photonics, and space-related technologies.

    For Q2 the company said roughly 25% of revenue came from customers using multiple product categories. About 60% of revenue was classified as “commercial,” but the scope of that commercial business has broadened significantly compared with the past.

    The company attributes revenue growth to Tempo quantum computer deployments and cloud usage, as well as demand across its broader “quantum platform.”

    In other words, IonQ’s current revenue should be viewed as

    quantum computing + quantum networking + security + sensing + other quantum-related businesses

    combined.

    While revenue is clearly growing rapidly, that growth alone no longer lets you infer the commercial demand for quantum computers themselves.

    Infleqtion — all quantum, but government contracts remain central

    Infleqtion is also interesting.

    Q2 2026 revenue was $13.50 million (about ¥2.1 billion), a 157% year-over-year increase. The company emphasized that this revenue was “100% organic and entirely from quantum.”

    Unlike IonQ, its growth is not being boosted by acquired non-quantum businesses.

    But “entirely quantum” is not the same as “revenue from commercial use of quantum computers.”

    Infleqtion develops the neutral-atom quantum computer “Sqale,” but it also has significant business lines in atomic clocks and quantum sensing.

    Moreover, government contracts play a large role in the company’s revenue. For example, Infleqtion has a $20 million (about ¥3.18 billion) contract with NASA to develop a spaceborne quantum gravity gradiometer. In Q1 2026 that NASA contract alone increased year-over-year revenue by about $4.0 million (about ¥640 million). The company has also derived revenue from the U.S. Department of Defense, the U.S. Army, the European Space Agency, and Japanese government projects.

    Infleqtion’s revenue is certainly “quantum,” but it includes

    quantum computing, quantum sensing, atomic clocks, and government R&D

    all together.

    Again, revenue from a quantum company should be distinguished from revenue specifically generated by commercial use of quantum computers.

    D-Wave — selling a single machine can change the financials

    D-Wave is one of the clearest examples of the current market structure.

    Q2 2026 revenue was $3.10 million (about ¥490 million), roughly flat year-over-year.

    However, first-half 2025 revenue was $18.10 million (about ¥2.88 billion), while first-half 2026 revenue was $5.90 million (about ¥940 million) — a 67% decline.

    The reason is simple: in the first half of 2025 D-Wave recorded a $13.70 million (about ¥2.18 billion) sale of a quantum computer. Selling one large quantum machine can materially swing annual or quarterly revenue for today’s quantum companies.

    D-Wave also offers a cloud service, Leap, as Quantum Computing as a Service (QCaaS).

    Of Leap’s QCaaS revenue in H1 2026, $1.30 million (about ¥210 million) was classified by D-Wave as revenue from “production applications,” representing 37.3% of total QCaaS revenue. In the prior-year period that figure was $0.30 million (about ¥48 million), or 9.8%.

    On the surface, those numbers suggest that production use of quantum computers is expanding. But this interpretation requires caution.

    Leap provides both direct QPU access and quantum-classical hybrid solvers. The internal workings of the latter are a black box to users: external observers cannot verify whether a QPU was actually used for a given calculation, or to what extent a QPU contributed to the result.

    What these figures do indicate is that D-Wave’s optimization services classified as “production” are being used. They do not definitively quantify the commercial value of the QPU itself.

    D-Wave’s current revenue model combines

    hardware sales + cloud usage + professional services

    with multiple models coexisting.

    Particularly, QCaaS “production” revenue should be read separately from metrics that would directly prove the QPU’s commercial usage.

    Rigetti — selling QPUs as well as offering cloud access

    Rigetti has also broadened how it generates revenue in recent years.

    Q2 2026 revenue was $5.10 million (about ¥810 million). The company attributes revenue growth to sales of the nine-qubit Novera quantum computing system and related products.

    Historically Rigetti provided quantum computing through its cloud QCS and via platforms such as Amazon Braket and Microsoft Azure Quantum.

    More recently, however, sales of QPUs and on-premises quantum systems directly to universities, research institutions, and HPC centers have become notable.

    For example, in Q1 2026 Rigetti sold and shipped a Novera QPU to the University of Saskatchewan in Canada. It is also delivering systems to India’s C-DAC and the Pittsburgh Supercomputing Center.

    What customers are buying in these cases is less a service that accelerates existing business processes and more research equipment to study and validate quantum computers themselves.

    More hardware sales will raise revenue, but that should not automatically be interpreted as equivalent to widespread industrial demand for quantum computation.

    Quantinuum — continuous cloud access as a different model

    Quantinuum presents a somewhat different case.

    Q2 2026 revenue was $8.00 million (about ¥1.27 billion), a 279% year-over-year increase.

    Notably, Quantinuum cites cloud business as the primary driver of its revenue growth.

    Unlike hardware sales or government contracts, cloud usage can build recurring revenue as long as customers keep using it. However, increased cloud usage does not necessarily mean those computations are generating economic value in customers’ production workflows — research, evaluation, and algorithm development are included.

    Still, how far a model that sells continued access to quantum compute capacity rather than the machines themselves can scale will be an important indicator of commercialization in the quantum industry.

    The same “revenue” can mean very different things

    Summarizing so far, current quantum-company revenue falls into at least the following categories.

    Type of revenueTypical examplesCharacteristics
    Sales of quantum computer hardwareD-Wave, RigettiSingle sales can be large, but revenue timing is project-dependent
    Cloud compute usageQuantinuum, D-Wave, IonQ, RigettiCan become recurring/stock-like if usage is sustained
    Government and R&D contractsInfleqtion, etc.A major source of demand in today’s quantum industry
    Quantum sensing and communicationsIonQ, InfleqtionMarkets outside quantum computing
    Professional services and joint researchVarious firmsPoCs, algorithm development, deployment support, etc.

    On the books, these are all simply revenue.

    But their implications for the industry’s maturity are quite different.

    For example, if a research institution buys a $20 million (about ¥3.18 billion) quantum computer, the manufacturer records about ¥3.18 billion in revenue.

    However, that does not necessarily mean that

    “the quantum computer was purchased because using it will generate more than ¥3.18 billion in economic value”

    It might have been bought as research equipment.

    It might be for national strategy reasons, to maintain domestic quantum computing capability.

    Or it might be an R&D investment to prepare for the future.

    Conversely, if a company pays monthly for quantum compute services and continuously reduces logistics or production costs as a result, the same revenue figure has a very different meaning.

    “Commercial customer” does not mean “a company using quantum computers in production”

    This point deserves special attention when assessing the current quantum industry.

    Quantum companies often report revenue from “commercial customers” or “commercial revenue.”

    D-Wave said 62.4% of Q2 2026 revenue came from commercial customers. IonQ also reports about 60% commercial revenue.

    From the headline numbers, one might conclude

    “Sixty percent of revenue comes from private companies using quantum computers in production.”

    But reading it that way today is almost certainly misleading.

    “Commercial customer” simply denotes a non-government, non-research institutional customer.

    Such a customer may be:

    • evaluating a quantum computer’s performance
    • running a proof of concept (PoC)
    • conducting joint research
    • developing algorithms to prepare for the future
    • experimentally using quantum computers on the cloud
    • purchasing quantum sensing or communications products rather than quantum compute

    Any of these activities can qualify a firm as a commercial customer.

    That is entirely different from saying a quantum computer is integrated into a company’s daily operational systems and continuously delivering superior economic value over classical methods.

    Current quantum computers still face substantial limitations in performance, error rates, problem size, and cost.

    At present, cases where one can externally verify that quantum computing has demonstrated clear economic advantage over classical computing and that companies are paying recurring fees for that reason are virtually non-existent. Although D-Wave and others have published multiple “production applications,” the degree to which QPUs contribute within quantum-classical hybrid processing or the associated economic superiority over traditional methods has not been made fully transparent.

    Therefore, when companies announce “commercial customers are increasing,”

    it is best not to interpret that as “quantum computers have begun to be commonly used in enterprise production.”

    Having commercial customers is not the same as proving quantum computers’ commercial value.

    Revenue growth is not the same as practical quantum computing

    Quantum companies are already generating revenue.

    But that revenue comprises hardware sales, government contracts, PoCs, joint research, cloud usage, sensing, and communications.

    What quantum companies are earning and whether quantum computers have become a technology that earns money in production are still not the same thing.

    To assess the current state of commercialization, one should look less at headline revenue and more at who is paying, for what, and whether the payments are ongoing.

    Related articles

  • developing algorithms to prepare for the future
  • experimentally using quantum computers on the cloud
  • purchasing quantum sensing or communications products rather than quantum compute
  • Any of these activities can qualify a firm as a commercial customer.

    That is entirely different from saying a quantum computer is integrated into a company’s daily operational systems and continuously delivering superior economic value over classical methods.

    Current quantum computers still face substantial limitations in performance, error rates, problem size, and cost.

    At present, cases where one can externally verify that quantum computing has demonstrated clear economic advantage over classical computing and that companies are paying recurring fees for that reason are virtually non-existent. Although D-Wave and others have published multiple “production applications,” the degree to which QPUs contribute within quantum-classical hybrid processing or the associated economic superiority over traditional methods has not been made fully transparent.

    Therefore, when companies announce “commercial customers are increasing,”

    it is best not to interpret that as “quantum computers have begun to be commonly used in enterprise production.”

    Having commercial customers is not the same as proving quantum computers’ commercial value.

    Revenue growth is not the same as practical quantum computing

    Quantum companies are already generating revenue.

    But that revenue comprises hardware sales, government contracts, PoCs, joint research, cloud usage, sensing, and communications.

    What quantum companies are earning and whether quantum computers have become a technology that earns money in production are still not the same thing.

    To assess the current state of commercialization, one should look less at headline revenue and more at who is paying, for what, and whether the payments are ongoing.

    Related articles

    • evaluating a quantum computer’s performance
    • running a proof of concept (PoC)
    • conducting joint research
    • developing algorithms to prepare for the future
    • experimentally using quantum computers on the cloud
    • purchasing quantum sensing or communications products rather than quantum compute

    Any of these activities can qualify a firm as a commercial customer.

    That is entirely different from saying a quantum computer is integrated into a company’s daily operational systems and continuously delivering superior economic value over classical methods.

    Current quantum computers still face substantial limitations in performance, error rates, problem size, and cost.

    At present, cases where one can externally verify that quantum computing has demonstrated clear economic advantage over classical computing and that companies are paying recurring fees for that reason are virtually non-existent. Although D-Wave and others have published multiple “production applications,” the degree to which QPUs contribute within quantum-classical hybrid processing or the associated economic superiority over traditional methods has not been made fully transparent.

    Therefore, when companies announce “commercial customers are increasing,”

    it is best not to interpret that as “quantum computers have begun to be commonly used in enterprise production.”

    Having commercial customers is not the same as proving quantum computers’ commercial value.

    Revenue growth is not the same as practical quantum computing

    Quantum companies are already generating revenue.

    But that revenue comprises hardware sales, government contracts, PoCs, joint research, cloud usage, sensing, and communications.

    What quantum companies are earning and whether quantum computers have become a technology that earns money in production are still not the same thing.

    To assess the current state of commercialization, one should look less at headline revenue and more at who is paying, for what, and whether the payments are ongoing.

    Related articles

    Quantum companies’ revenues have started to rise.

    In Q2 2026, IonQ reported $80.10 million (about ¥12.7 billion), Infleqtion reported $13.50 million (about ¥2.1 billion), Quantinuum reported $8.00 million (about ¥1.27 billion), Rigetti Computing reported $5.10 million (about ¥810 million), and D-Wave Quantum reported $3.10 million (about ¥490 million) in revenue.

    IonQ grew 287% year over year, Quantinuum 279%, and Infleqtion 157%. Looking at the raw numbers, it can appear that the quantum-computing market is rapidly commercializing and monetizing.

    However, what exactly are quantum companies selling to generate these revenues?

    Is it quantum compute time? Physical hardware? Government R&D contracts? Quantum sensing or communications?

    Tracing the current revenue structures of major quantum firms shows that the phrase “commercialization of the quantum market” often contains very different realities than the commonly imagined ‘‘commercialization of quantum computers’’.

    *Currency conversions are approximate, using an exchange rate of $1 ≈ ¥159 as of August 20, 2026.

    IonQ — the $12.7 billion quarter is not purely “quantum compute fees”

    IonQ stands out in Q2 2026.

    Revenue was $80.10 million (about ¥12.7 billion), roughly four times year-over-year and far above other pure-play quantum companies.

    However, it would be inaccurate to interpret this number as “IonQ’s quantum computers were used for about ¥12.7 billion worth of compute.”

    IonQ is no longer a company that only does quantum computing.

    Through successive acquisitions, the company has expanded into quantum networking, quantum security, sensing, photonics, and space-related technologies.

    For Q2 the company said roughly 25% of revenue came from customers using multiple product categories. About 60% of revenue was classified as “commercial,” but the scope of that commercial business has broadened significantly compared with the past.

    The company attributes revenue growth to Tempo quantum computer deployments and cloud usage, as well as demand across its broader “quantum platform.”

    In other words, IonQ’s current revenue should be viewed as

    quantum computing + quantum networking + security + sensing + other quantum-related businesses

    combined.

    While revenue is clearly growing rapidly, that growth alone no longer lets you infer the commercial demand for quantum computers themselves.

    Infleqtion — all quantum, but government contracts remain central

    Infleqtion is also interesting.

    Q2 2026 revenue was $13.50 million (about ¥2.1 billion), a 157% year-over-year increase. The company emphasized that this revenue was “100% organic and entirely from quantum.”

    Unlike IonQ, its growth is not being boosted by acquired non-quantum businesses.

    But “entirely quantum” is not the same as “revenue from commercial use of quantum computers.”

    Infleqtion develops the neutral-atom quantum computer “Sqale,” but it also has significant business lines in atomic clocks and quantum sensing.

    Moreover, government contracts play a large role in the company’s revenue. For example, Infleqtion has a $20 million (about ¥3.18 billion) contract with NASA to develop a spaceborne quantum gravity gradiometer. In Q1 2026 that NASA contract alone increased year-over-year revenue by about $4.0 million (about ¥640 million). The company has also derived revenue from the U.S. Department of Defense, the U.S. Army, the European Space Agency, and Japanese government projects.

    Infleqtion’s revenue is certainly “quantum,” but it includes

    quantum computing, quantum sensing, atomic clocks, and government R&D

    all together.

    Again, revenue from a quantum company should be distinguished from revenue specifically generated by commercial use of quantum computers.

    D-Wave — selling a single machine can change the financials

    D-Wave is one of the clearest examples of the current market structure.

    Q2 2026 revenue was $3.10 million (about ¥490 million), roughly flat year-over-year.

    However, first-half 2025 revenue was $18.10 million (about ¥2.88 billion), while first-half 2026 revenue was $5.90 million (about ¥940 million) — a 67% decline.

    The reason is simple: in the first half of 2025 D-Wave recorded a $13.70 million (about ¥2.18 billion) sale of a quantum computer. Selling one large quantum machine can materially swing annual or quarterly revenue for today’s quantum companies.

    D-Wave also offers a cloud service, Leap, as Quantum Computing as a Service (QCaaS).

    Of Leap’s QCaaS revenue in H1 2026, $1.30 million (about ¥210 million) was classified by D-Wave as revenue from “production applications,” representing 37.3% of total QCaaS revenue. In the prior-year period that figure was $0.30 million (about ¥48 million), or 9.8%.

    On the surface, those numbers suggest that production use of quantum computers is expanding. But this interpretation requires caution.

    Leap provides both direct QPU access and quantum-classical hybrid solvers. The internal workings of the latter are a black box to users: external observers cannot verify whether a QPU was actually used for a given calculation, or to what extent a QPU contributed to the result.

    What these figures do indicate is that D-Wave’s optimization services classified as “production” are being used. They do not definitively quantify the commercial value of the QPU itself.

    D-Wave’s current revenue model combines

    hardware sales + cloud usage + professional services

    with multiple models coexisting.

    Particularly, QCaaS “production” revenue should be read separately from metrics that would directly prove the QPU’s commercial usage.

    Rigetti — selling QPUs as well as offering cloud access

    Rigetti has also broadened how it generates revenue in recent years.

    Q2 2026 revenue was $5.10 million (about ¥810 million). The company attributes revenue growth to sales of the nine-qubit Novera quantum computing system and related products.

    Historically Rigetti provided quantum computing through its cloud QCS and via platforms such as Amazon Braket and Microsoft Azure Quantum.

    More recently, however, sales of QPUs and on-premises quantum systems directly to universities, research institutions, and HPC centers have become notable.

    For example, in Q1 2026 Rigetti sold and shipped a Novera QPU to the University of Saskatchewan in Canada. It is also delivering systems to India’s C-DAC and the Pittsburgh Supercomputing Center.

    What customers are buying in these cases is less a service that accelerates existing business processes and more research equipment to study and validate quantum computers themselves.

    More hardware sales will raise revenue, but that should not automatically be interpreted as equivalent to widespread industrial demand for quantum computation.

    Quantinuum — continuous cloud access as a different model

    Quantinuum presents a somewhat different case.

    Q2 2026 revenue was $8.00 million (about ¥1.27 billion), a 279% year-over-year increase.

    Notably, Quantinuum cites cloud business as the primary driver of its revenue growth.

    Unlike hardware sales or government contracts, cloud usage can build recurring revenue as long as customers keep using it. However, increased cloud usage does not necessarily mean those computations are generating economic value in customers’ production workflows — research, evaluation, and algorithm development are included.

    Still, how far a model that sells continued access to quantum compute capacity rather than the machines themselves can scale will be an important indicator of commercialization in the quantum industry.

    The same “revenue” can mean very different things

    Summarizing so far, current quantum-company revenue falls into at least the following categories.

    Type of revenueTypical examplesCharacteristics
    Sales of quantum computer hardwareD-Wave, RigettiSingle sales can be large, but revenue timing is project-dependent
    Cloud compute usageQuantinuum, D-Wave, IonQ, RigettiCan become recurring/stock-like if usage is sustained
    Government and R&D contractsInfleqtion, etc.A major source of demand in today’s quantum industry
    Quantum sensing and communicationsIonQ, InfleqtionMarkets outside quantum computing
    Professional services and joint researchVarious firmsPoCs, algorithm development, deployment support, etc.

    On the books, these are all simply revenue.

    But their implications for the industry’s maturity are quite different.

    For example, if a research institution buys a $20 million (about ¥3.18 billion) quantum computer, the manufacturer records about ¥3.18 billion in revenue.

    However, that does not necessarily mean that

    “the quantum computer was purchased because using it will generate more than ¥3.18 billion in economic value”

    It might have been bought as research equipment.

    It might be for national strategy reasons, to maintain domestic quantum computing capability.

    Or it might be an R&D investment to prepare for the future.

    Conversely, if a company pays monthly for quantum compute services and continuously reduces logistics or production costs as a result, the same revenue figure has a very different meaning.

    “Commercial customer” does not mean “a company using quantum computers in production”

    This point deserves special attention when assessing the current quantum industry.

    Quantum companies often report revenue from “commercial customers” or “commercial revenue.”

    D-Wave said 62.4% of Q2 2026 revenue came from commercial customers. IonQ also reports about 60% commercial revenue.

    From the headline numbers, one might conclude

    “Sixty percent of revenue comes from private companies using quantum computers in production.”

    But reading it that way today is almost certainly misleading.

    “Commercial customer” simply denotes a non-government, non-research institutional customer.

    Such a customer may be:

    • evaluating a quantum computer’s performance
    • running a proof of concept (PoC)
    • conducting joint research
    • developing algorithms to prepare for the future
    • experimentally using quantum computers on the cloud
    • purchasing quantum sensing or communications products rather than quantum compute

    Any of these activities can qualify a firm as a commercial customer.

    That is entirely different from saying a quantum computer is integrated into a company’s daily operational systems and continuously delivering superior economic value over classical methods.

    Current quantum computers still face substantial limitations in performance, error rates, problem size, and cost.

    At present, cases where one can externally verify that quantum computing has demonstrated clear economic advantage over classical computing and that companies are paying recurring fees for that reason are virtually non-existent. Although D-Wave and others have published multiple “production applications,” the degree to which QPUs contribute within quantum-classical hybrid processing or the associated economic superiority over traditional methods has not been made fully transparent.

    Therefore, when companies announce “commercial customers are increasing,”

    it is best not to interpret that as “quantum computers have begun to be commonly used in enterprise production.”

    Having commercial customers is not the same as proving quantum computers’ commercial value.

    Revenue growth is not the same as practical quantum computing

    Quantum companies are already generating revenue.

    But that revenue comprises hardware sales, government contracts, PoCs, joint research, cloud usage, sensing, and communications.

    What quantum companies are earning and whether quantum computers have become a technology that earns money in production are still not the same thing.

    To assess the current state of commercialization, one should look less at headline revenue and more at who is paying, for what, and whether the payments are ongoing.

    Related articles

  • conducting joint research
  • developing algorithms to prepare for the future
  • experimentally using quantum computers on the cloud
  • purchasing quantum sensing or communications products rather than quantum compute
  • Any of these activities can qualify a firm as a commercial customer.

    That is entirely different from saying a quantum computer is integrated into a company’s daily operational systems and continuously delivering superior economic value over classical methods.

    Current quantum computers still face substantial limitations in performance, error rates, problem size, and cost.

    At present, cases where one can externally verify that quantum computing has demonstrated clear economic advantage over classical computing and that companies are paying recurring fees for that reason are virtually non-existent. Although D-Wave and others have published multiple “production applications,” the degree to which QPUs contribute within quantum-classical hybrid processing or the associated economic superiority over traditional methods has not been made fully transparent.

    Therefore, when companies announce “commercial customers are increasing,”

    it is best not to interpret that as “quantum computers have begun to be commonly used in enterprise production.”

    Having commercial customers is not the same as proving quantum computers’ commercial value.

    Revenue growth is not the same as practical quantum computing

    Quantum companies are already generating revenue.

    But that revenue comprises hardware sales, government contracts, PoCs, joint research, cloud usage, sensing, and communications.

    What quantum companies are earning and whether quantum computers have become a technology that earns money in production are still not the same thing.

    To assess the current state of commercialization, one should look less at headline revenue and more at who is paying, for what, and whether the payments are ongoing.

    Related articles

    • evaluating a quantum computer’s performance
    • running a proof of concept (PoC)
    • conducting joint research
    • developing algorithms to prepare for the future
    • experimentally using quantum computers on the cloud
    • purchasing quantum sensing or communications products rather than quantum compute

    Any of these activities can qualify a firm as a commercial customer.

    That is entirely different from saying a quantum computer is integrated into a company’s daily operational systems and continuously delivering superior economic value over classical methods.

    Current quantum computers still face substantial limitations in performance, error rates, problem size, and cost.

    At present, cases where one can externally verify that quantum computing has demonstrated clear economic advantage over classical computing and that companies are paying recurring fees for that reason are virtually non-existent. Although D-Wave and others have published multiple “production applications,” the degree to which QPUs contribute within quantum-classical hybrid processing or the associated economic superiority over traditional methods has not been made fully transparent.

    Therefore, when companies announce “commercial customers are increasing,”

    it is best not to interpret that as “quantum computers have begun to be commonly used in enterprise production.”

    Having commercial customers is not the same as proving quantum computers’ commercial value.

    Revenue growth is not the same as practical quantum computing

    Quantum companies are already generating revenue.

    But that revenue comprises hardware sales, government contracts, PoCs, joint research, cloud usage, sensing, and communications.

    What quantum companies are earning and whether quantum computers have become a technology that earns money in production are still not the same thing.

    To assess the current state of commercialization, one should look less at headline revenue and more at who is paying, for what, and whether the payments are ongoing.

    Related articles

    Quantum companies’ revenues have started to rise.

    In Q2 2026, IonQ reported $80.10 million (about ¥12.7 billion), Infleqtion reported $13.50 million (about ¥2.1 billion), Quantinuum reported $8.00 million (about ¥1.27 billion), Rigetti Computing reported $5.10 million (about ¥810 million), and D-Wave Quantum reported $3.10 million (about ¥490 million) in revenue.

    IonQ grew 287% year over year, Quantinuum 279%, and Infleqtion 157%. Looking at the raw numbers, it can appear that the quantum-computing market is rapidly commercializing and monetizing.

    However, what exactly are quantum companies selling to generate these revenues?

    Is it quantum compute time? Physical hardware? Government R&D contracts? Quantum sensing or communications?

    Tracing the current revenue structures of major quantum firms shows that the phrase “commercialization of the quantum market” often contains very different realities than the commonly imagined ‘‘commercialization of quantum computers’’.

    *Currency conversions are approximate, using an exchange rate of $1 ≈ ¥159 as of August 20, 2026.

    IonQ — the $12.7 billion quarter is not purely “quantum compute fees”

    IonQ stands out in Q2 2026.

    Revenue was $80.10 million (about ¥12.7 billion), roughly four times year-over-year and far above other pure-play quantum companies.

    However, it would be inaccurate to interpret this number as “IonQ’s quantum computers were used for about ¥12.7 billion worth of compute.”

    IonQ is no longer a company that only does quantum computing.

    Through successive acquisitions, the company has expanded into quantum networking, quantum security, sensing, photonics, and space-related technologies.

    For Q2 the company said roughly 25% of revenue came from customers using multiple product categories. About 60% of revenue was classified as “commercial,” but the scope of that commercial business has broadened significantly compared with the past.

    The company attributes revenue growth to Tempo quantum computer deployments and cloud usage, as well as demand across its broader “quantum platform.”

    In other words, IonQ’s current revenue should be viewed as

    quantum computing + quantum networking + security + sensing + other quantum-related businesses

    combined.

    While revenue is clearly growing rapidly, that growth alone no longer lets you infer the commercial demand for quantum computers themselves.

    Infleqtion — all quantum, but government contracts remain central

    Infleqtion is also interesting.

    Q2 2026 revenue was $13.50 million (about ¥2.1 billion), a 157% year-over-year increase. The company emphasized that this revenue was “100% organic and entirely from quantum.”

    Unlike IonQ, its growth is not being boosted by acquired non-quantum businesses.

    But “entirely quantum” is not the same as “revenue from commercial use of quantum computers.”

    Infleqtion develops the neutral-atom quantum computer “Sqale,” but it also has significant business lines in atomic clocks and quantum sensing.

    Moreover, government contracts play a large role in the company’s revenue. For example, Infleqtion has a $20 million (about ¥3.18 billion) contract with NASA to develop a spaceborne quantum gravity gradiometer. In Q1 2026 that NASA contract alone increased year-over-year revenue by about $4.0 million (about ¥640 million). The company has also derived revenue from the U.S. Department of Defense, the U.S. Army, the European Space Agency, and Japanese government projects.

    Infleqtion’s revenue is certainly “quantum,” but it includes

    quantum computing, quantum sensing, atomic clocks, and government R&D

    all together.

    Again, revenue from a quantum company should be distinguished from revenue specifically generated by commercial use of quantum computers.

    D-Wave — selling a single machine can change the financials

    D-Wave is one of the clearest examples of the current market structure.

    Q2 2026 revenue was $3.10 million (about ¥490 million), roughly flat year-over-year.

    However, first-half 2025 revenue was $18.10 million (about ¥2.88 billion), while first-half 2026 revenue was $5.90 million (about ¥940 million) — a 67% decline.

    The reason is simple: in the first half of 2025 D-Wave recorded a $13.70 million (about ¥2.18 billion) sale of a quantum computer. Selling one large quantum machine can materially swing annual or quarterly revenue for today’s quantum companies.

    D-Wave also offers a cloud service, Leap, as Quantum Computing as a Service (QCaaS).

    Of Leap’s QCaaS revenue in H1 2026, $1.30 million (about ¥210 million) was classified by D-Wave as revenue from “production applications,” representing 37.3% of total QCaaS revenue. In the prior-year period that figure was $0.30 million (about ¥48 million), or 9.8%.

    On the surface, those numbers suggest that production use of quantum computers is expanding. But this interpretation requires caution.

    Leap provides both direct QPU access and quantum-classical hybrid solvers. The internal workings of the latter are a black box to users: external observers cannot verify whether a QPU was actually used for a given calculation, or to what extent a QPU contributed to the result.

    What these figures do indicate is that D-Wave’s optimization services classified as “production” are being used. They do not definitively quantify the commercial value of the QPU itself.

    D-Wave’s current revenue model combines

    hardware sales + cloud usage + professional services

    with multiple models coexisting.

    Particularly, QCaaS “production” revenue should be read separately from metrics that would directly prove the QPU’s commercial usage.

    Rigetti — selling QPUs as well as offering cloud access

    Rigetti has also broadened how it generates revenue in recent years.

    Q2 2026 revenue was $5.10 million (about ¥810 million). The company attributes revenue growth to sales of the nine-qubit Novera quantum computing system and related products.

    Historically Rigetti provided quantum computing through its cloud QCS and via platforms such as Amazon Braket and Microsoft Azure Quantum.

    More recently, however, sales of QPUs and on-premises quantum systems directly to universities, research institutions, and HPC centers have become notable.

    For example, in Q1 2026 Rigetti sold and shipped a Novera QPU to the University of Saskatchewan in Canada. It is also delivering systems to India’s C-DAC and the Pittsburgh Supercomputing Center.

    What customers are buying in these cases is less a service that accelerates existing business processes and more research equipment to study and validate quantum computers themselves.

    More hardware sales will raise revenue, but that should not automatically be interpreted as equivalent to widespread industrial demand for quantum computation.

    Quantinuum — continuous cloud access as a different model

    Quantinuum presents a somewhat different case.

    Q2 2026 revenue was $8.00 million (about ¥1.27 billion), a 279% year-over-year increase.

    Notably, Quantinuum cites cloud business as the primary driver of its revenue growth.

    Unlike hardware sales or government contracts, cloud usage can build recurring revenue as long as customers keep using it. However, increased cloud usage does not necessarily mean those computations are generating economic value in customers’ production workflows — research, evaluation, and algorithm development are included.

    Still, how far a model that sells continued access to quantum compute capacity rather than the machines themselves can scale will be an important indicator of commercialization in the quantum industry.

    The same “revenue” can mean very different things

    Summarizing so far, current quantum-company revenue falls into at least the following categories.

    Type of revenueTypical examplesCharacteristics
    Sales of quantum computer hardwareD-Wave, RigettiSingle sales can be large, but revenue timing is project-dependent
    Cloud compute usageQuantinuum, D-Wave, IonQ, RigettiCan become recurring/stock-like if usage is sustained
    Government and R&D contractsInfleqtion, etc.A major source of demand in today’s quantum industry
    Quantum sensing and communicationsIonQ, InfleqtionMarkets outside quantum computing
    Professional services and joint researchVarious firmsPoCs, algorithm development, deployment support, etc.

    On the books, these are all simply revenue.

    But their implications for the industry’s maturity are quite different.

    For example, if a research institution buys a $20 million (about ¥3.18 billion) quantum computer, the manufacturer records about ¥3.18 billion in revenue.

    However, that does not necessarily mean that

    “the quantum computer was purchased because using it will generate more than ¥3.18 billion in economic value”

    It might have been bought as research equipment.

    It might be for national strategy reasons, to maintain domestic quantum computing capability.

    Or it might be an R&D investment to prepare for the future.

    Conversely, if a company pays monthly for quantum compute services and continuously reduces logistics or production costs as a result, the same revenue figure has a very different meaning.

    “Commercial customer” does not mean “a company using quantum computers in production”

    This point deserves special attention when assessing the current quantum industry.

    Quantum companies often report revenue from “commercial customers” or “commercial revenue.”

    D-Wave said 62.4% of Q2 2026 revenue came from commercial customers. IonQ also reports about 60% commercial revenue.

    From the headline numbers, one might conclude

    “Sixty percent of revenue comes from private companies using quantum computers in production.”

    But reading it that way today is almost certainly misleading.

    “Commercial customer” simply denotes a non-government, non-research institutional customer.

    Such a customer may be:

    • evaluating a quantum computer’s performance
    • running a proof of concept (PoC)
    • conducting joint research
    • developing algorithms to prepare for the future
    • experimentally using quantum computers on the cloud
    • purchasing quantum sensing or communications products rather than quantum compute

    Any of these activities can qualify a firm as a commercial customer.

    That is entirely different from saying a quantum computer is integrated into a company’s daily operational systems and continuously delivering superior economic value over classical methods.

    Current quantum computers still face substantial limitations in performance, error rates, problem size, and cost.

    At present, cases where one can externally verify that quantum computing has demonstrated clear economic advantage over classical computing and that companies are paying recurring fees for that reason are virtually non-existent. Although D-Wave and others have published multiple “production applications,” the degree to which QPUs contribute within quantum-classical hybrid processing or the associated economic superiority over traditional methods has not been made fully transparent.

    Therefore, when companies announce “commercial customers are increasing,”

    it is best not to interpret that as “quantum computers have begun to be commonly used in enterprise production.”

    Having commercial customers is not the same as proving quantum computers’ commercial value.

    Revenue growth is not the same as practical quantum computing

    Quantum companies are already generating revenue.

    But that revenue comprises hardware sales, government contracts, PoCs, joint research, cloud usage, sensing, and communications.

    What quantum companies are earning and whether quantum computers have become a technology that earns money in production are still not the same thing.

    To assess the current state of commercialization, one should look less at headline revenue and more at who is paying, for what, and whether the payments are ongoing.

    Related articles

  • running a proof of concept (PoC)
  • conducting joint research
  • developing algorithms to prepare for the future
  • experimentally using quantum computers on the cloud
  • purchasing quantum sensing or communications products rather than quantum compute
  • Any of these activities can qualify a firm as a commercial customer.

    That is entirely different from saying a quantum computer is integrated into a company’s daily operational systems and continuously delivering superior economic value over classical methods.

    Current quantum computers still face substantial limitations in performance, error rates, problem size, and cost.

    At present, cases where one can externally verify that quantum computing has demonstrated clear economic advantage over classical computing and that companies are paying recurring fees for that reason are virtually non-existent. Although D-Wave and others have published multiple “production applications,” the degree to which QPUs contribute within quantum-classical hybrid processing or the associated economic superiority over traditional methods has not been made fully transparent.

    Therefore, when companies announce “commercial customers are increasing,”

    it is best not to interpret that as “quantum computers have begun to be commonly used in enterprise production.”

    Having commercial customers is not the same as proving quantum computers’ commercial value.

    Revenue growth is not the same as practical quantum computing

    Quantum companies are already generating revenue.

    But that revenue comprises hardware sales, government contracts, PoCs, joint research, cloud usage, sensing, and communications.

    What quantum companies are earning and whether quantum computers have become a technology that earns money in production are still not the same thing.

    To assess the current state of commercialization, one should look less at headline revenue and more at who is paying, for what, and whether the payments are ongoing.

    Related articles

    • evaluating a quantum computer’s performance
    • running a proof of concept (PoC)
    • conducting joint research
    • developing algorithms to prepare for the future
    • experimentally using quantum computers on the cloud
    • purchasing quantum sensing or communications products rather than quantum compute

    Any of these activities can qualify a firm as a commercial customer.

    That is entirely different from saying a quantum computer is integrated into a company’s daily operational systems and continuously delivering superior economic value over classical methods.

    Current quantum computers still face substantial limitations in performance, error rates, problem size, and cost.

    At present, cases where one can externally verify that quantum computing has demonstrated clear economic advantage over classical computing and that companies are paying recurring fees for that reason are virtually non-existent. Although D-Wave and others have published multiple “production applications,” the degree to which QPUs contribute within quantum-classical hybrid processing or the associated economic superiority over traditional methods has not been made fully transparent.

    Therefore, when companies announce “commercial customers are increasing,”

    it is best not to interpret that as “quantum computers have begun to be commonly used in enterprise production.”

    Having commercial customers is not the same as proving quantum computers’ commercial value.

    Revenue growth is not the same as practical quantum computing

    Quantum companies are already generating revenue.

    But that revenue comprises hardware sales, government contracts, PoCs, joint research, cloud usage, sensing, and communications.

    What quantum companies are earning and whether quantum computers have become a technology that earns money in production are still not the same thing.

    To assess the current state of commercialization, one should look less at headline revenue and more at who is paying, for what, and whether the payments are ongoing.

    Related articles

    Quantum companies’ revenues have started to rise.

    In Q2 2026, IonQ reported $80.10 million (about ¥12.7 billion), Infleqtion reported $13.50 million (about ¥2.1 billion), Quantinuum reported $8.00 million (about ¥1.27 billion), Rigetti Computing reported $5.10 million (about ¥810 million), and D-Wave Quantum reported $3.10 million (about ¥490 million) in revenue.

    IonQ grew 287% year over year, Quantinuum 279%, and Infleqtion 157%. Looking at the raw numbers, it can appear that the quantum-computing market is rapidly commercializing and monetizing.

    However, what exactly are quantum companies selling to generate these revenues?

    Is it quantum compute time? Physical hardware? Government R&D contracts? Quantum sensing or communications?

    Tracing the current revenue structures of major quantum firms shows that the phrase “commercialization of the quantum market” often contains very different realities than the commonly imagined ‘‘commercialization of quantum computers’’.

    *Currency conversions are approximate, using an exchange rate of $1 ≈ ¥159 as of August 20, 2026.

    IonQ — the $12.7 billion quarter is not purely “quantum compute fees”

    IonQ stands out in Q2 2026.

    Revenue was $80.10 million (about ¥12.7 billion), roughly four times year-over-year and far above other pure-play quantum companies.

    However, it would be inaccurate to interpret this number as “IonQ’s quantum computers were used for about ¥12.7 billion worth of compute.”

    IonQ is no longer a company that only does quantum computing.

    Through successive acquisitions, the company has expanded into quantum networking, quantum security, sensing, photonics, and space-related technologies.

    For Q2 the company said roughly 25% of revenue came from customers using multiple product categories. About 60% of revenue was classified as “commercial,” but the scope of that commercial business has broadened significantly compared with the past.

    The company attributes revenue growth to Tempo quantum computer deployments and cloud usage, as well as demand across its broader “quantum platform.”

    In other words, IonQ’s current revenue should be viewed as

    quantum computing + quantum networking + security + sensing + other quantum-related businesses

    combined.

    While revenue is clearly growing rapidly, that growth alone no longer lets you infer the commercial demand for quantum computers themselves.

    Infleqtion — all quantum, but government contracts remain central

    Infleqtion is also interesting.

    Q2 2026 revenue was $13.50 million (about ¥2.1 billion), a 157% year-over-year increase. The company emphasized that this revenue was “100% organic and entirely from quantum.”

    Unlike IonQ, its growth is not being boosted by acquired non-quantum businesses.

    But “entirely quantum” is not the same as “revenue from commercial use of quantum computers.”

    Infleqtion develops the neutral-atom quantum computer “Sqale,” but it also has significant business lines in atomic clocks and quantum sensing.

    Moreover, government contracts play a large role in the company’s revenue. For example, Infleqtion has a $20 million (about ¥3.18 billion) contract with NASA to develop a spaceborne quantum gravity gradiometer. In Q1 2026 that NASA contract alone increased year-over-year revenue by about $4.0 million (about ¥640 million). The company has also derived revenue from the U.S. Department of Defense, the U.S. Army, the European Space Agency, and Japanese government projects.

    Infleqtion’s revenue is certainly “quantum,” but it includes

    quantum computing, quantum sensing, atomic clocks, and government R&D

    all together.

    Again, revenue from a quantum company should be distinguished from revenue specifically generated by commercial use of quantum computers.

    D-Wave — selling a single machine can change the financials

    D-Wave is one of the clearest examples of the current market structure.

    Q2 2026 revenue was $3.10 million (about ¥490 million), roughly flat year-over-year.

    However, first-half 2025 revenue was $18.10 million (about ¥2.88 billion), while first-half 2026 revenue was $5.90 million (about ¥940 million) — a 67% decline.

    The reason is simple: in the first half of 2025 D-Wave recorded a $13.70 million (about ¥2.18 billion) sale of a quantum computer. Selling one large quantum machine can materially swing annual or quarterly revenue for today’s quantum companies.

    D-Wave also offers a cloud service, Leap, as Quantum Computing as a Service (QCaaS).

    Of Leap’s QCaaS revenue in H1 2026, $1.30 million (about ¥210 million) was classified by D-Wave as revenue from “production applications,” representing 37.3% of total QCaaS revenue. In the prior-year period that figure was $0.30 million (about ¥48 million), or 9.8%.

    On the surface, those numbers suggest that production use of quantum computers is expanding. But this interpretation requires caution.

    Leap provides both direct QPU access and quantum-classical hybrid solvers. The internal workings of the latter are a black box to users: external observers cannot verify whether a QPU was actually used for a given calculation, or to what extent a QPU contributed to the result.

    What these figures do indicate is that D-Wave’s optimization services classified as “production” are being used. They do not definitively quantify the commercial value of the QPU itself.

    D-Wave’s current revenue model combines

    hardware sales + cloud usage + professional services

    with multiple models coexisting.

    Particularly, QCaaS “production” revenue should be read separately from metrics that would directly prove the QPU’s commercial usage.

    Rigetti — selling QPUs as well as offering cloud access

    Rigetti has also broadened how it generates revenue in recent years.

    Q2 2026 revenue was $5.10 million (about ¥810 million). The company attributes revenue growth to sales of the nine-qubit Novera quantum computing system and related products.

    Historically Rigetti provided quantum computing through its cloud QCS and via platforms such as Amazon Braket and Microsoft Azure Quantum.

    More recently, however, sales of QPUs and on-premises quantum systems directly to universities, research institutions, and HPC centers have become notable.

    For example, in Q1 2026 Rigetti sold and shipped a Novera QPU to the University of Saskatchewan in Canada. It is also delivering systems to India’s C-DAC and the Pittsburgh Supercomputing Center.

    What customers are buying in these cases is less a service that accelerates existing business processes and more research equipment to study and validate quantum computers themselves.

    More hardware sales will raise revenue, but that should not automatically be interpreted as equivalent to widespread industrial demand for quantum computation.

    Quantinuum — continuous cloud access as a different model

    Quantinuum presents a somewhat different case.

    Q2 2026 revenue was $8.00 million (about ¥1.27 billion), a 279% year-over-year increase.

    Notably, Quantinuum cites cloud business as the primary driver of its revenue growth.

    Unlike hardware sales or government contracts, cloud usage can build recurring revenue as long as customers keep using it. However, increased cloud usage does not necessarily mean those computations are generating economic value in customers’ production workflows — research, evaluation, and algorithm development are included.

    Still, how far a model that sells continued access to quantum compute capacity rather than the machines themselves can scale will be an important indicator of commercialization in the quantum industry.

    The same “revenue” can mean very different things

    Summarizing so far, current quantum-company revenue falls into at least the following categories.

    Type of revenueTypical examplesCharacteristics
    Sales of quantum computer hardwareD-Wave, RigettiSingle sales can be large, but revenue timing is project-dependent
    Cloud compute usageQuantinuum, D-Wave, IonQ, RigettiCan become recurring/stock-like if usage is sustained
    Government and R&D contractsInfleqtion, etc.A major source of demand in today’s quantum industry
    Quantum sensing and communicationsIonQ, InfleqtionMarkets outside quantum computing
    Professional services and joint researchVarious firmsPoCs, algorithm development, deployment support, etc.

    On the books, these are all simply revenue.

    But their implications for the industry’s maturity are quite different.

    For example, if a research institution buys a $20 million (about ¥3.18 billion) quantum computer, the manufacturer records about ¥3.18 billion in revenue.

    However, that does not necessarily mean that

    “the quantum computer was purchased because using it will generate more than ¥3.18 billion in economic value”

    It might have been bought as research equipment.

    It might be for national strategy reasons, to maintain domestic quantum computing capability.

    Or it might be an R&D investment to prepare for the future.

    Conversely, if a company pays monthly for quantum compute services and continuously reduces logistics or production costs as a result, the same revenue figure has a very different meaning.

    “Commercial customer” does not mean “a company using quantum computers in production”

    This point deserves special attention when assessing the current quantum industry.

    Quantum companies often report revenue from “commercial customers” or “commercial revenue.”

    D-Wave said 62.4% of Q2 2026 revenue came from commercial customers. IonQ also reports about 60% commercial revenue.

    From the headline numbers, one might conclude

    “Sixty percent of revenue comes from private companies using quantum computers in production.”

    But reading it that way today is almost certainly misleading.

    “Commercial customer” simply denotes a non-government, non-research institutional customer.

    Such a customer may be:

    • evaluating a quantum computer’s performance
    • running a proof of concept (PoC)
    • conducting joint research
    • developing algorithms to prepare for the future
    • experimentally using quantum computers on the cloud
    • purchasing quantum sensing or communications products rather than quantum compute

    Any of these activities can qualify a firm as a commercial customer.

    That is entirely different from saying a quantum computer is integrated into a company’s daily operational systems and continuously delivering superior economic value over classical methods.

    Current quantum computers still face substantial limitations in performance, error rates, problem size, and cost.

    At present, cases where one can externally verify that quantum computing has demonstrated clear economic advantage over classical computing and that companies are paying recurring fees for that reason are virtually non-existent. Although D-Wave and others have published multiple “production applications,” the degree to which QPUs contribute within quantum-classical hybrid processing or the associated economic superiority over traditional methods has not been made fully transparent.

    Therefore, when companies announce “commercial customers are increasing,”

    it is best not to interpret that as “quantum computers have begun to be commonly used in enterprise production.”

    Having commercial customers is not the same as proving quantum computers’ commercial value.

    Revenue growth is not the same as practical quantum computing

    Quantum companies are already generating revenue.

    But that revenue comprises hardware sales, government contracts, PoCs, joint research, cloud usage, sensing, and communications.

    What quantum companies are earning and whether quantum computers have become a technology that earns money in production are still not the same thing.

    To assess the current state of commercialization, one should look less at headline revenue and more at who is paying, for what, and whether the payments are ongoing.

    Related articles

  • evaluating a quantum computer’s performance
  • running a proof of concept (PoC)
  • conducting joint research
  • developing algorithms to prepare for the future
  • experimentally using quantum computers on the cloud
  • purchasing quantum sensing or communications products rather than quantum compute
  • Any of these activities can qualify a firm as a commercial customer.

    That is entirely different from saying a quantum computer is integrated into a company’s daily operational systems and continuously delivering superior economic value over classical methods.

    Current quantum computers still face substantial limitations in performance, error rates, problem size, and cost.

    At present, cases where one can externally verify that quantum computing has demonstrated clear economic advantage over classical computing and that companies are paying recurring fees for that reason are virtually non-existent. Although D-Wave and others have published multiple “production applications,” the degree to which QPUs contribute within quantum-classical hybrid processing or the associated economic superiority over traditional methods has not been made fully transparent.

    Therefore, when companies announce “commercial customers are increasing,”

    it is best not to interpret that as “quantum computers have begun to be commonly used in enterprise production.”

    Having commercial customers is not the same as proving quantum computers’ commercial value.

    Revenue growth is not the same as practical quantum computing

    Quantum companies are already generating revenue.

    But that revenue comprises hardware sales, government contracts, PoCs, joint research, cloud usage, sensing, and communications.

    What quantum companies are earning and whether quantum computers have become a technology that earns money in production are still not the same thing.

    To assess the current state of commercialization, one should look less at headline revenue and more at who is paying, for what, and whether the payments are ongoing.

    Related articles

    • evaluating a quantum computer’s performance
    • running a proof of concept (PoC)
    • conducting joint research
    • developing algorithms to prepare for the future
    • experimentally using quantum computers on the cloud
    • purchasing quantum sensing or communications products rather than quantum compute

    Any of these activities can qualify a firm as a commercial customer.

    That is entirely different from saying a quantum computer is integrated into a company’s daily operational systems and continuously delivering superior economic value over classical methods.

    Current quantum computers still face substantial limitations in performance, error rates, problem size, and cost.

    At present, cases where one can externally verify that quantum computing has demonstrated clear economic advantage over classical computing and that companies are paying recurring fees for that reason are virtually non-existent. Although D-Wave and others have published multiple “production applications,” the degree to which QPUs contribute within quantum-classical hybrid processing or the associated economic superiority over traditional methods has not been made fully transparent.

    Therefore, when companies announce “commercial customers are increasing,”

    it is best not to interpret that as “quantum computers have begun to be commonly used in enterprise production.”

    Having commercial customers is not the same as proving quantum computers’ commercial value.

    Revenue growth is not the same as practical quantum computing

    Quantum companies are already generating revenue.

    But that revenue comprises hardware sales, government contracts, PoCs, joint research, cloud usage, sensing, and communications.

    What quantum companies are earning and whether quantum computers have become a technology that earns money in production are still not the same thing.

    To assess the current state of commercialization, one should look less at headline revenue and more at who is paying, for what, and whether the payments are ongoing.

    Related articles

    Quantum companies’ revenues have started to rise.

    In Q2 2026, IonQ reported $80.10 million (about ¥12.7 billion), Infleqtion reported $13.50 million (about ¥2.1 billion), Quantinuum reported $8.00 million (about ¥1.27 billion), Rigetti Computing reported $5.10 million (about ¥810 million), and D-Wave Quantum reported $3.10 million (about ¥490 million) in revenue.

    IonQ grew 287% year over year, Quantinuum 279%, and Infleqtion 157%. Looking at the raw numbers, it can appear that the quantum-computing market is rapidly commercializing and monetizing.

    However, what exactly are quantum companies selling to generate these revenues?

    Is it quantum compute time? Physical hardware? Government R&D contracts? Quantum sensing or communications?

    Tracing the current revenue structures of major quantum firms shows that the phrase “commercialization of the quantum market” often contains very different realities than the commonly imagined ‘‘commercialization of quantum computers’’.

    *Currency conversions are approximate, using an exchange rate of $1 ≈ ¥159 as of August 20, 2026.

    IonQ — the $12.7 billion quarter is not purely “quantum compute fees”

    IonQ stands out in Q2 2026.

    Revenue was $80.10 million (about ¥12.7 billion), roughly four times year-over-year and far above other pure-play quantum companies.

    However, it would be inaccurate to interpret this number as “IonQ’s quantum computers were used for about ¥12.7 billion worth of compute.”

    IonQ is no longer a company that only does quantum computing.

    Through successive acquisitions, the company has expanded into quantum networking, quantum security, sensing, photonics, and space-related technologies.

    For Q2 the company said roughly 25% of revenue came from customers using multiple product categories. About 60% of revenue was classified as “commercial,” but the scope of that commercial business has broadened significantly compared with the past.

    The company attributes revenue growth to Tempo quantum computer deployments and cloud usage, as well as demand across its broader “quantum platform.”

    In other words, IonQ’s current revenue should be viewed as

    quantum computing + quantum networking + security + sensing + other quantum-related businesses

    combined.

    While revenue is clearly growing rapidly, that growth alone no longer lets you infer the commercial demand for quantum computers themselves.

    Infleqtion — all quantum, but government contracts remain central

    Infleqtion is also interesting.

    Q2 2026 revenue was $13.50 million (about ¥2.1 billion), a 157% year-over-year increase. The company emphasized that this revenue was “100% organic and entirely from quantum.”

    Unlike IonQ, its growth is not being boosted by acquired non-quantum businesses.

    But “entirely quantum” is not the same as “revenue from commercial use of quantum computers.”

    Infleqtion develops the neutral-atom quantum computer “Sqale,” but it also has significant business lines in atomic clocks and quantum sensing.

    Moreover, government contracts play a large role in the company’s revenue. For example, Infleqtion has a $20 million (about ¥3.18 billion) contract with NASA to develop a spaceborne quantum gravity gradiometer. In Q1 2026 that NASA contract alone increased year-over-year revenue by about $4.0 million (about ¥640 million). The company has also derived revenue from the U.S. Department of Defense, the U.S. Army, the European Space Agency, and Japanese government projects.

    Infleqtion’s revenue is certainly “quantum,” but it includes

    quantum computing, quantum sensing, atomic clocks, and government R&D

    all together.

    Again, revenue from a quantum company should be distinguished from revenue specifically generated by commercial use of quantum computers.

    D-Wave — selling a single machine can change the financials

    D-Wave is one of the clearest examples of the current market structure.

    Q2 2026 revenue was $3.10 million (about ¥490 million), roughly flat year-over-year.

    However, first-half 2025 revenue was $18.10 million (about ¥2.88 billion), while first-half 2026 revenue was $5.90 million (about ¥940 million) — a 67% decline.

    The reason is simple: in the first half of 2025 D-Wave recorded a $13.70 million (about ¥2.18 billion) sale of a quantum computer. Selling one large quantum machine can materially swing annual or quarterly revenue for today’s quantum companies.

    D-Wave also offers a cloud service, Leap, as Quantum Computing as a Service (QCaaS).

    Of Leap’s QCaaS revenue in H1 2026, $1.30 million (about ¥210 million) was classified by D-Wave as revenue from “production applications,” representing 37.3% of total QCaaS revenue. In the prior-year period that figure was $0.30 million (about ¥48 million), or 9.8%.

    On the surface, those numbers suggest that production use of quantum computers is expanding. But this interpretation requires caution.

    Leap provides both direct QPU access and quantum-classical hybrid solvers. The internal workings of the latter are a black box to users: external observers cannot verify whether a QPU was actually used for a given calculation, or to what extent a QPU contributed to the result.

    What these figures do indicate is that D-Wave’s optimization services classified as “production” are being used. They do not definitively quantify the commercial value of the QPU itself.

    D-Wave’s current revenue model combines

    hardware sales + cloud usage + professional services

    with multiple models coexisting.

    Particularly, QCaaS “production” revenue should be read separately from metrics that would directly prove the QPU’s commercial usage.

    Rigetti — selling QPUs as well as offering cloud access

    Rigetti has also broadened how it generates revenue in recent years.

    Q2 2026 revenue was $5.10 million (about ¥810 million). The company attributes revenue growth to sales of the nine-qubit Novera quantum computing system and related products.

    Historically Rigetti provided quantum computing through its cloud QCS and via platforms such as Amazon Braket and Microsoft Azure Quantum.

    More recently, however, sales of QPUs and on-premises quantum systems directly to universities, research institutions, and HPC centers have become notable.

    For example, in Q1 2026 Rigetti sold and shipped a Novera QPU to the University of Saskatchewan in Canada. It is also delivering systems to India’s C-DAC and the Pittsburgh Supercomputing Center.

    What customers are buying in these cases is less a service that accelerates existing business processes and more research equipment to study and validate quantum computers themselves.

    More hardware sales will raise revenue, but that should not automatically be interpreted as equivalent to widespread industrial demand for quantum computation.

    Quantinuum — continuous cloud access as a different model

    Quantinuum presents a somewhat different case.

    Q2 2026 revenue was $8.00 million (about ¥1.27 billion), a 279% year-over-year increase.

    Notably, Quantinuum cites cloud business as the primary driver of its revenue growth.

    Unlike hardware sales or government contracts, cloud usage can build recurring revenue as long as customers keep using it. However, increased cloud usage does not necessarily mean those computations are generating economic value in customers’ production workflows — research, evaluation, and algorithm development are included.

    Still, how far a model that sells continued access to quantum compute capacity rather than the machines themselves can scale will be an important indicator of commercialization in the quantum industry.

    The same “revenue” can mean very different things

    Summarizing so far, current quantum-company revenue falls into at least the following categories.

    Type of revenueTypical examplesCharacteristics
    Sales of quantum computer hardwareD-Wave, RigettiSingle sales can be large, but revenue timing is project-dependent
    Cloud compute usageQuantinuum, D-Wave, IonQ, RigettiCan become recurring/stock-like if usage is sustained
    Government and R&D contractsInfleqtion, etc.A major source of demand in today’s quantum industry
    Quantum sensing and communicationsIonQ, InfleqtionMarkets outside quantum computing
    Professional services and joint researchVarious firmsPoCs, algorithm development, deployment support, etc.

    On the books, these are all simply revenue.

    But their implications for the industry’s maturity are quite different.

    For example, if a research institution buys a $20 million (about ¥3.18 billion) quantum computer, the manufacturer records about ¥3.18 billion in revenue.

    However, that does not necessarily mean that

    “the quantum computer was purchased because using it will generate more than ¥3.18 billion in economic value”

    It might have been bought as research equipment.

    It might be for national strategy reasons, to maintain domestic quantum computing capability.

    Or it might be an R&D investment to prepare for the future.

    Conversely, if a company pays monthly for quantum compute services and continuously reduces logistics or production costs as a result, the same revenue figure has a very different meaning.

    “Commercial customer” does not mean “a company using quantum computers in production”

    This point deserves special attention when assessing the current quantum industry.

    Quantum companies often report revenue from “commercial customers” or “commercial revenue.”

    D-Wave said 62.4% of Q2 2026 revenue came from commercial customers. IonQ also reports about 60% commercial revenue.

    From the headline numbers, one might conclude

    “Sixty percent of revenue comes from private companies using quantum computers in production.”

    But reading it that way today is almost certainly misleading.

    “Commercial customer” simply denotes a non-government, non-research institutional customer.

    Such a customer may be:

    • evaluating a quantum computer’s performance
    • running a proof of concept (PoC)
    • conducting joint research
    • developing algorithms to prepare for the future
    • experimentally using quantum computers on the cloud
    • purchasing quantum sensing or communications products rather than quantum compute

    Any of these activities can qualify a firm as a commercial customer.

    That is entirely different from saying a quantum computer is integrated into a company’s daily operational systems and continuously delivering superior economic value over classical methods.

    Current quantum computers still face substantial limitations in performance, error rates, problem size, and cost.

    At present, cases where one can externally verify that quantum computing has demonstrated clear economic advantage over classical computing and that companies are paying recurring fees for that reason are virtually non-existent. Although D-Wave and others have published multiple “production applications,” the degree to which QPUs contribute within quantum-classical hybrid processing or the associated economic superiority over traditional methods has not been made fully transparent.

    Therefore, when companies announce “commercial customers are increasing,”

    it is best not to interpret that as “quantum computers have begun to be commonly used in enterprise production.”

    Having commercial customers is not the same as proving quantum computers’ commercial value.

    Revenue growth is not the same as practical quantum computing

    Quantum companies are already generating revenue.

    But that revenue comprises hardware sales, government contracts, PoCs, joint research, cloud usage, sensing, and communications.

    What quantum companies are earning and whether quantum computers have become a technology that earns money in production are still not the same thing.

    To assess the current state of commercialization, one should look less at headline revenue and more at who is paying, for what, and whether the payments are ongoing.

    Related articles

    • evaluating a quantum computer’s performance
    • running a proof of concept (PoC)
    • conducting joint research
    • developing algorithms to prepare for the future
    • experimentally using quantum computers on the cloud
    • purchasing quantum sensing or communications products rather than quantum compute

    Any of these activities can qualify a firm as a commercial customer.

    That is entirely different from saying a quantum computer is integrated into a company’s daily operational systems and continuously delivering superior economic value over classical methods.

    Current quantum computers still face substantial limitations in performance, error rates, problem size, and cost.

    At present, cases where one can externally verify that quantum computing has demonstrated clear economic advantage over classical computing and that companies are paying recurring fees for that reason are virtually non-existent. Although D-Wave and others have published multiple “production applications,” the degree to which QPUs contribute within quantum-classical hybrid processing or the associated economic superiority over traditional methods has not been made fully transparent.

    Therefore, when companies announce “commercial customers are increasing,”

    it is best not to interpret that as “quantum computers have begun to be commonly used in enterprise production.”

    Having commercial customers is not the same as proving quantum computers’ commercial value.

    Revenue growth is not the same as practical quantum computing

    Quantum companies are already generating revenue.

    But that revenue comprises hardware sales, government contracts, PoCs, joint research, cloud usage, sensing, and communications.

    What quantum companies are earning and whether quantum computers have become a technology that earns money in production are still not the same thing.

    To assess the current state of commercialization, one should look less at headline revenue and more at who is paying, for what, and whether the payments are ongoing.

    Related articles

    • evaluating a quantum computer’s performance
    • running a proof of concept (PoC)
    • conducting joint research
    • developing algorithms to prepare for the future
    • experimentally using quantum computers on the cloud
    • purchasing quantum sensing or communications products rather than quantum compute

    Any of these activities can qualify a firm as a commercial customer.

    That is entirely different from saying a quantum computer is integrated into a company’s daily operational systems and continuously delivering superior economic value over classical methods.

    Current quantum computers still face substantial limitations in performance, error rates, problem size, and cost.

    At present, cases where one can externally verify that quantum computing has demonstrated clear economic advantage over classical computing and that companies are paying recurring fees for that reason are virtually non-existent. Although D-Wave and others have published multiple “production applications,” the degree to which QPUs contribute within quantum-classical hybrid processing or the associated economic superiority over traditional methods has not been made fully transparent.

    Therefore, when companies announce “commercial customers are increasing,”

    it is best not to interpret that as “quantum computers have begun to be commonly used in enterprise production.”

    Having commercial customers is not the same as proving quantum computers’ commercial value.

    Revenue growth is not the same as practical quantum computing

    Quantum companies are already generating revenue.

    But that revenue comprises hardware sales, government contracts, PoCs, joint research, cloud usage, sensing, and communications.

    What quantum companies are earning and whether quantum computers have become a technology that earns money in production are still not the same thing.

    To assess the current state of commercialization, one should look less at headline revenue and more at who is paying, for what, and whether the payments are ongoing.

    Related articles

    Quantum companies’ revenues have started to rise.

    In Q2 2026, IonQ reported $80.10 million (about ¥12.7 billion), Infleqtion reported $13.50 million (about ¥2.1 billion), Quantinuum reported $8.00 million (about ¥1.27 billion), Rigetti Computing reported $5.10 million (about ¥810 million), and D-Wave Quantum reported $3.10 million (about ¥490 million) in revenue.

    IonQ grew 287% year over year, Quantinuum 279%, and Infleqtion 157%. Looking at the raw numbers, it can appear that the quantum-computing market is rapidly commercializing and monetizing.

    However, what exactly are quantum companies selling to generate these revenues?

    Is it quantum compute time? Physical hardware? Government R&D contracts? Quantum sensing or communications?

    Tracing the current revenue structures of major quantum firms shows that the phrase “commercialization of the quantum market” often contains very different realities than the commonly imagined ‘‘commercialization of quantum computers’’.

    *Currency conversions are approximate, using an exchange rate of $1 ≈ ¥159 as of August 20, 2026.

    IonQ — the $12.7 billion quarter is not purely “quantum compute fees”

    IonQ stands out in Q2 2026.

    Revenue was $80.10 million (about ¥12.7 billion), roughly four times year-over-year and far above other pure-play quantum companies.

    However, it would be inaccurate to interpret this number as “IonQ’s quantum computers were used for about ¥12.7 billion worth of compute.”

    IonQ is no longer a company that only does quantum computing.

    Through successive acquisitions, the company has expanded into quantum networking, quantum security, sensing, photonics, and space-related technologies.

    For Q2 the company said roughly 25% of revenue came from customers using multiple product categories. About 60% of revenue was classified as “commercial,” but the scope of that commercial business has broadened significantly compared with the past.

    The company attributes revenue growth to Tempo quantum computer deployments and cloud usage, as well as demand across its broader “quantum platform.”

    In other words, IonQ’s current revenue should be viewed as

    quantum computing + quantum networking + security + sensing + other quantum-related businesses

    combined.

    While revenue is clearly growing rapidly, that growth alone no longer lets you infer the commercial demand for quantum computers themselves.

    Infleqtion — all quantum, but government contracts remain central

    Infleqtion is also interesting.

    Q2 2026 revenue was $13.50 million (about ¥2.1 billion), a 157% year-over-year increase. The company emphasized that this revenue was “100% organic and entirely from quantum.”

    Unlike IonQ, its growth is not being boosted by acquired non-quantum businesses.

    But “entirely quantum” is not the same as “revenue from commercial use of quantum computers.”

    Infleqtion develops the neutral-atom quantum computer “Sqale,” but it also has significant business lines in atomic clocks and quantum sensing.

    Moreover, government contracts play a large role in the company’s revenue. For example, Infleqtion has a $20 million (about ¥3.18 billion) contract with NASA to develop a spaceborne quantum gravity gradiometer. In Q1 2026 that NASA contract alone increased year-over-year revenue by about $4.0 million (about ¥640 million). The company has also derived revenue from the U.S. Department of Defense, the U.S. Army, the European Space Agency, and Japanese government projects.

    Infleqtion’s revenue is certainly “quantum,” but it includes

    quantum computing, quantum sensing, atomic clocks, and government R&D

    all together.

    Again, revenue from a quantum company should be distinguished from revenue specifically generated by commercial use of quantum computers.

    D-Wave — selling a single machine can change the financials

    D-Wave is one of the clearest examples of the current market structure.

    Q2 2026 revenue was $3.10 million (about ¥490 million), roughly flat year-over-year.

    However, first-half 2025 revenue was $18.10 million (about ¥2.88 billion), while first-half 2026 revenue was $5.90 million (about ¥940 million) — a 67% decline.

    The reason is simple: in the first half of 2025 D-Wave recorded a $13.70 million (about ¥2.18 billion) sale of a quantum computer. Selling one large quantum machine can materially swing annual or quarterly revenue for today’s quantum companies.

    D-Wave also offers a cloud service, Leap, as Quantum Computing as a Service (QCaaS).

    Of Leap’s QCaaS revenue in H1 2026, $1.30 million (about ¥210 million) was classified by D-Wave as revenue from “production applications,” representing 37.3% of total QCaaS revenue. In the prior-year period that figure was $0.30 million (about ¥48 million), or 9.8%.

    On the surface, those numbers suggest that production use of quantum computers is expanding. But this interpretation requires caution.

    Leap provides both direct QPU access and quantum-classical hybrid solvers. The internal workings of the latter are a black box to users: external observers cannot verify whether a QPU was actually used for a given calculation, or to what extent a QPU contributed to the result.

    What these figures do indicate is that D-Wave’s optimization services classified as “production” are being used. They do not definitively quantify the commercial value of the QPU itself.

    D-Wave’s current revenue model combines

    hardware sales + cloud usage + professional services

    with multiple models coexisting.

    Particularly, QCaaS “production” revenue should be read separately from metrics that would directly prove the QPU’s commercial usage.

    Rigetti — selling QPUs as well as offering cloud access

    Rigetti has also broadened how it generates revenue in recent years.

    Q2 2026 revenue was $5.10 million (about ¥810 million). The company attributes revenue growth to sales of the nine-qubit Novera quantum computing system and related products.

    Historically Rigetti provided quantum computing through its cloud QCS and via platforms such as Amazon Braket and Microsoft Azure Quantum.

    More recently, however, sales of QPUs and on-premises quantum systems directly to universities, research institutions, and HPC centers have become notable.

    For example, in Q1 2026 Rigetti sold and shipped a Novera QPU to the University of Saskatchewan in Canada. It is also delivering systems to India’s C-DAC and the Pittsburgh Supercomputing Center.

    What customers are buying in these cases is less a service that accelerates existing business processes and more research equipment to study and validate quantum computers themselves.

    More hardware sales will raise revenue, but that should not automatically be interpreted as equivalent to widespread industrial demand for quantum computation.

    Quantinuum — continuous cloud access as a different model

    Quantinuum presents a somewhat different case.

    Q2 2026 revenue was $8.00 million (about ¥1.27 billion), a 279% year-over-year increase.

    Notably, Quantinuum cites cloud business as the primary driver of its revenue growth.

    Unlike hardware sales or government contracts, cloud usage can build recurring revenue as long as customers keep using it. However, increased cloud usage does not necessarily mean those computations are generating economic value in customers’ production workflows — research, evaluation, and algorithm development are included.

    Still, how far a model that sells continued access to quantum compute capacity rather than the machines themselves can scale will be an important indicator of commercialization in the quantum industry.

    The same “revenue” can mean very different things

    Summarizing so far, current quantum-company revenue falls into at least the following categories.

    Type of revenueTypical examplesCharacteristics
    Sales of quantum computer hardwareD-Wave, RigettiSingle sales can be large, but revenue timing is project-dependent
    Cloud compute usageQuantinuum, D-Wave, IonQ, RigettiCan become recurring/stock-like if usage is sustained
    Government and R&D contractsInfleqtion, etc.A major source of demand in today’s quantum industry
    Quantum sensing and communicationsIonQ, InfleqtionMarkets outside quantum computing
    Professional services and joint researchVarious firmsPoCs, algorithm development, deployment support, etc.

    On the books, these are all simply revenue.

    But their implications for the industry’s maturity are quite different.

    For example, if a research institution buys a $20 million (about ¥3.18 billion) quantum computer, the manufacturer records about ¥3.18 billion in revenue.

    However, that does not necessarily mean that

    “the quantum computer was purchased because using it will generate more than ¥3.18 billion in economic value”

    It might have been bought as research equipment.

    It might be for national strategy reasons, to maintain domestic quantum computing capability.

    Or it might be an R&D investment to prepare for the future.

    Conversely, if a company pays monthly for quantum compute services and continuously reduces logistics or production costs as a result, the same revenue figure has a very different meaning.

    “Commercial customer” does not mean “a company using quantum computers in production”

    This point deserves special attention when assessing the current quantum industry.

    Quantum companies often report revenue from “commercial customers” or “commercial revenue.”

    D-Wave said 62.4% of Q2 2026 revenue came from commercial customers. IonQ also reports about 60% commercial revenue.

    From the headline numbers, one might conclude

    “Sixty percent of revenue comes from private companies using quantum computers in production.”

    But reading it that way today is almost certainly misleading.

    “Commercial customer” simply denotes a non-government, non-research institutional customer.

    Such a customer may be:

    • evaluating a quantum computer’s performance
    • running a proof of concept (PoC)
    • conducting joint research
    • developing algorithms to prepare for the future
    • experimentally using quantum computers on the cloud
    • purchasing quantum sensing or communications products rather than quantum compute

    Any of these activities can qualify a firm as a commercial customer.

    That is entirely different from saying a quantum computer is integrated into a company’s daily operational systems and continuously delivering superior economic value over classical methods.

    Current quantum computers still face substantial limitations in performance, error rates, problem size, and cost.

    At present, cases where one can externally verify that quantum computing has demonstrated clear economic advantage over classical computing and that companies are paying recurring fees for that reason are virtually non-existent. Although D-Wave and others have published multiple “production applications,” the degree to which QPUs contribute within quantum-classical hybrid processing or the associated economic superiority over traditional methods has not been made fully transparent.

    Therefore, when companies announce “commercial customers are increasing,”

    it is best not to interpret that as “quantum computers have begun to be commonly used in enterprise production.”

    Having commercial customers is not the same as proving quantum computers’ commercial value.

    Revenue growth is not the same as practical quantum computing

    Quantum companies are already generating revenue.

    But that revenue comprises hardware sales, government contracts, PoCs, joint research, cloud usage, sensing, and communications.

    What quantum companies are earning and whether quantum computers have become a technology that earns money in production are still not the same thing.

    To assess the current state of commercialization, one should look less at headline revenue and more at who is paying, for what, and whether the payments are ongoing.

    Related articles

  • IonQ, Q2 2026 revenue up 287% year over year; raises full-year guidance
  • Infleqtion corrects Q2 2026 revenue to $13.5M; raises full-year outlook
  • Quantinuum Q2 2026 revenue up 279% year over year; announces Helios logical fidelity
  • Rigetti Q2 2026 revenue $5.1M; publishes performance of 108-qubit machine
  • D-Wave Q2 2026 revenue $3.1M; first-half bookings increased more than twelvefold
    • evaluating a quantum computer’s performance
    • running a proof of concept (PoC)
    • conducting joint research
    • developing algorithms to prepare for the future
    • experimentally using quantum computers on the cloud
    • purchasing quantum sensing or communications products rather than quantum compute

    Any of these activities can qualify a firm as a commercial customer.

    That is entirely different from saying a quantum computer is integrated into a company’s daily operational systems and continuously delivering superior economic value over classical methods.

    Current quantum computers still face substantial limitations in performance, error rates, problem size, and cost.

    At present, cases where one can externally verify that quantum computing has demonstrated clear economic advantage over classical computing and that companies are paying recurring fees for that reason are virtually non-existent. Although D-Wave and others have published multiple “production applications,” the degree to which QPUs contribute within quantum-classical hybrid processing or the associated economic superiority over traditional methods has not been made fully transparent.

    Therefore, when companies announce “commercial customers are increasing,”

    it is best not to interpret that as “quantum computers have begun to be commonly used in enterprise production.”

    Having commercial customers is not the same as proving quantum computers’ commercial value.

    Revenue growth is not the same as practical quantum computing

    Quantum companies are already generating revenue.

    But that revenue comprises hardware sales, government contracts, PoCs, joint research, cloud usage, sensing, and communications.

    What quantum companies are earning and whether quantum computers have become a technology that earns money in production are still not the same thing.

    To assess the current state of commercialization, one should look less at headline revenue and more at who is paying, for what, and whether the payments are ongoing.

    Related articles

    • evaluating a quantum computer’s performance
    • running a proof of concept (PoC)
    • conducting joint research
    • developing algorithms to prepare for the future
    • experimentally using quantum computers on the cloud
    • purchasing quantum sensing or communications products rather than quantum compute

    Any of these activities can qualify a firm as a commercial customer.

    That is entirely different from saying a quantum computer is integrated into a company’s daily operational systems and continuously delivering superior economic value over classical methods.

    Current quantum computers still face substantial limitations in performance, error rates, problem size, and cost.

    At present, cases where one can externally verify that quantum computing has demonstrated clear economic advantage over classical computing and that companies are paying recurring fees for that reason are virtually non-existent. Although D-Wave and others have published multiple “production applications,” the degree to which QPUs contribute within quantum-classical hybrid processing or the associated economic superiority over traditional methods has not been made fully transparent.

    Therefore, when companies announce “commercial customers are increasing,”

    it is best not to interpret that as “quantum computers have begun to be commonly used in enterprise production.”

    Having commercial customers is not the same as proving quantum computers’ commercial value.

    Revenue growth is not the same as practical quantum computing

    Quantum companies are already generating revenue.

    But that revenue comprises hardware sales, government contracts, PoCs, joint research, cloud usage, sensing, and communications.

    What quantum companies are earning and whether quantum computers have become a technology that earns money in production are still not the same thing.

    To assess the current state of commercialization, one should look less at headline revenue and more at who is paying, for what, and whether the payments are ongoing.

    Related articles

    Quantum companies’ revenues have started to rise.

    In Q2 2026, IonQ reported $80.10 million (about ¥12.7 billion), Infleqtion reported $13.50 million (about ¥2.1 billion), Quantinuum reported $8.00 million (about ¥1.27 billion), Rigetti Computing reported $5.10 million (about ¥810 million), and D-Wave Quantum reported $3.10 million (about ¥490 million) in revenue.

    IonQ grew 287% year over year, Quantinuum 279%, and Infleqtion 157%. Looking at the raw numbers, it can appear that the quantum-computing market is rapidly commercializing and monetizing.

    However, what exactly are quantum companies selling to generate these revenues?

    Is it quantum compute time? Physical hardware? Government R&D contracts? Quantum sensing or communications?

    Tracing the current revenue structures of major quantum firms shows that the phrase “commercialization of the quantum market” often contains very different realities than the commonly imagined ‘‘commercialization of quantum computers’’.

    *Currency conversions are approximate, using an exchange rate of $1 ≈ ¥159 as of August 20, 2026.

    IonQ — the $12.7 billion quarter is not purely “quantum compute fees”

    IonQ stands out in Q2 2026.

    Revenue was $80.10 million (about ¥12.7 billion), roughly four times year-over-year and far above other pure-play quantum companies.

    However, it would be inaccurate to interpret this number as “IonQ’s quantum computers were used for about ¥12.7 billion worth of compute.”

    IonQ is no longer a company that only does quantum computing.

    Through successive acquisitions, the company has expanded into quantum networking, quantum security, sensing, photonics, and space-related technologies.

    For Q2 the company said roughly 25% of revenue came from customers using multiple product categories. About 60% of revenue was classified as “commercial,” but the scope of that commercial business has broadened significantly compared with the past.

    The company attributes revenue growth to Tempo quantum computer deployments and cloud usage, as well as demand across its broader “quantum platform.”

    In other words, IonQ’s current revenue should be viewed as

    quantum computing + quantum networking + security + sensing + other quantum-related businesses

    combined.

    While revenue is clearly growing rapidly, that growth alone no longer lets you infer the commercial demand for quantum computers themselves.

    Infleqtion — all quantum, but government contracts remain central

    Infleqtion is also interesting.

    Q2 2026 revenue was $13.50 million (about ¥2.1 billion), a 157% year-over-year increase. The company emphasized that this revenue was “100% organic and entirely from quantum.”

    Unlike IonQ, its growth is not being boosted by acquired non-quantum businesses.

    But “entirely quantum” is not the same as “revenue from commercial use of quantum computers.”

    Infleqtion develops the neutral-atom quantum computer “Sqale,” but it also has significant business lines in atomic clocks and quantum sensing.

    Moreover, government contracts play a large role in the company’s revenue. For example, Infleqtion has a $20 million (about ¥3.18 billion) contract with NASA to develop a spaceborne quantum gravity gradiometer. In Q1 2026 that NASA contract alone increased year-over-year revenue by about $4.0 million (about ¥640 million). The company has also derived revenue from the U.S. Department of Defense, the U.S. Army, the European Space Agency, and Japanese government projects.

    Infleqtion’s revenue is certainly “quantum,” but it includes

    quantum computing, quantum sensing, atomic clocks, and government R&D

    all together.

    Again, revenue from a quantum company should be distinguished from revenue specifically generated by commercial use of quantum computers.

    D-Wave — selling a single machine can change the financials

    D-Wave is one of the clearest examples of the current market structure.

    Q2 2026 revenue was $3.10 million (about ¥490 million), roughly flat year-over-year.

    However, first-half 2025 revenue was $18.10 million (about ¥2.88 billion), while first-half 2026 revenue was $5.90 million (about ¥940 million) — a 67% decline.

    The reason is simple: in the first half of 2025 D-Wave recorded a $13.70 million (about ¥2.18 billion) sale of a quantum computer. Selling one large quantum machine can materially swing annual or quarterly revenue for today’s quantum companies.

    D-Wave also offers a cloud service, Leap, as Quantum Computing as a Service (QCaaS).

    Of Leap’s QCaaS revenue in H1 2026, $1.30 million (about ¥210 million) was classified by D-Wave as revenue from “production applications,” representing 37.3% of total QCaaS revenue. In the prior-year period that figure was $0.30 million (about ¥48 million), or 9.8%.

    On the surface, those numbers suggest that production use of quantum computers is expanding. But this interpretation requires caution.

    Leap provides both direct QPU access and quantum-classical hybrid solvers. The internal workings of the latter are a black box to users: external observers cannot verify whether a QPU was actually used for a given calculation, or to what extent a QPU contributed to the result.

    What these figures do indicate is that D-Wave’s optimization services classified as “production” are being used. They do not definitively quantify the commercial value of the QPU itself.

    D-Wave’s current revenue model combines

    hardware sales + cloud usage + professional services

    with multiple models coexisting.

    Particularly, QCaaS “production” revenue should be read separately from metrics that would directly prove the QPU’s commercial usage.

    Rigetti — selling QPUs as well as offering cloud access

    Rigetti has also broadened how it generates revenue in recent years.

    Q2 2026 revenue was $5.10 million (about ¥810 million). The company attributes revenue growth to sales of the nine-qubit Novera quantum computing system and related products.

    Historically Rigetti provided quantum computing through its cloud QCS and via platforms such as Amazon Braket and Microsoft Azure Quantum.

    More recently, however, sales of QPUs and on-premises quantum systems directly to universities, research institutions, and HPC centers have become notable.

    For example, in Q1 2026 Rigetti sold and shipped a Novera QPU to the University of Saskatchewan in Canada. It is also delivering systems to India’s C-DAC and the Pittsburgh Supercomputing Center.

    What customers are buying in these cases is less a service that accelerates existing business processes and more research equipment to study and validate quantum computers themselves.

    More hardware sales will raise revenue, but that should not automatically be interpreted as equivalent to widespread industrial demand for quantum computation.

    Quantinuum — continuous cloud access as a different model

    Quantinuum presents a somewhat different case.

    Q2 2026 revenue was $8.00 million (about ¥1.27 billion), a 279% year-over-year increase.

    Notably, Quantinuum cites cloud business as the primary driver of its revenue growth.

    Unlike hardware sales or government contracts, cloud usage can build recurring revenue as long as customers keep using it. However, increased cloud usage does not necessarily mean those computations are generating economic value in customers’ production workflows — research, evaluation, and algorithm development are included.

    Still, how far a model that sells continued access to quantum compute capacity rather than the machines themselves can scale will be an important indicator of commercialization in the quantum industry.

    The same “revenue” can mean very different things

    Summarizing so far, current quantum-company revenue falls into at least the following categories.

    Type of revenueTypical examplesCharacteristics
    Sales of quantum computer hardwareD-Wave, RigettiSingle sales can be large, but revenue timing is project-dependent
    Cloud compute usageQuantinuum, D-Wave, IonQ, RigettiCan become recurring/stock-like if usage is sustained
    Government and R&D contractsInfleqtion, etc.A major source of demand in today’s quantum industry
    Quantum sensing and communicationsIonQ, InfleqtionMarkets outside quantum computing
    Professional services and joint researchVarious firmsPoCs, algorithm development, deployment support, etc.

    On the books, these are all simply revenue.

    But their implications for the industry’s maturity are quite different.

    For example, if a research institution buys a $20 million (about ¥3.18 billion) quantum computer, the manufacturer records about ¥3.18 billion in revenue.

    However, that does not necessarily mean that

    “the quantum computer was purchased because using it will generate more than ¥3.18 billion in economic value”

    It might have been bought as research equipment.

    It might be for national strategy reasons, to maintain domestic quantum computing capability.

    Or it might be an R&D investment to prepare for the future.

    Conversely, if a company pays monthly for quantum compute services and continuously reduces logistics or production costs as a result, the same revenue figure has a very different meaning.

    “Commercial customer” does not mean “a company using quantum computers in production”

    This point deserves special attention when assessing the current quantum industry.

    Quantum companies often report revenue from “commercial customers” or “commercial revenue.”

    D-Wave said 62.4% of Q2 2026 revenue came from commercial customers. IonQ also reports about 60% commercial revenue.

    From the headline numbers, one might conclude

    “Sixty percent of revenue comes from private companies using quantum computers in production.”

    But reading it that way today is almost certainly misleading.

    “Commercial customer” simply denotes a non-government, non-research institutional customer.

    Such a customer may be:

    • evaluating a quantum computer’s performance
    • running a proof of concept (PoC)
    • conducting joint research
    • developing algorithms to prepare for the future
    • experimentally using quantum computers on the cloud
    • purchasing quantum sensing or communications products rather than quantum compute

    Any of these activities can qualify a firm as a commercial customer.

    That is entirely different from saying a quantum computer is integrated into a company’s daily operational systems and continuously delivering superior economic value over classical methods.

    Current quantum computers still face substantial limitations in performance, error rates, problem size, and cost.

    At present, cases where one can externally verify that quantum computing has demonstrated clear economic advantage over classical computing and that companies are paying recurring fees for that reason are virtually non-existent. Although D-Wave and others have published multiple “production applications,” the degree to which QPUs contribute within quantum-classical hybrid processing or the associated economic superiority over traditional methods has not been made fully transparent.

    Therefore, when companies announce “commercial customers are increasing,”

    it is best not to interpret that as “quantum computers have begun to be commonly used in enterprise production.”

    Having commercial customers is not the same as proving quantum computers’ commercial value.

    Revenue growth is not the same as practical quantum computing

    Quantum companies are already generating revenue.

    But that revenue comprises hardware sales, government contracts, PoCs, joint research, cloud usage, sensing, and communications.

    What quantum companies are earning and whether quantum computers have become a technology that earns money in production are still not the same thing.

    To assess the current state of commercialization, one should look less at headline revenue and more at who is paying, for what, and whether the payments are ongoing.

    Related articles

    • evaluating a quantum computer’s performance
    • running a proof of concept (PoC)
    • conducting joint research
    • developing algorithms to prepare for the future
    • experimentally using quantum computers on the cloud
    • purchasing quantum sensing or communications products rather than quantum compute

    Any of these activities can qualify a firm as a commercial customer.

    That is entirely different from saying a quantum computer is integrated into a company’s daily operational systems and continuously delivering superior economic value over classical methods.

    Current quantum computers still face substantial limitations in performance, error rates, problem size, and cost.

    At present, cases where one can externally verify that quantum computing has demonstrated clear economic advantage over classical computing and that companies are paying recurring fees for that reason are virtually non-existent. Although D-Wave and others have published multiple “production applications,” the degree to which QPUs contribute within quantum-classical hybrid processing or the associated economic superiority over traditional methods has not been made fully transparent.

    Therefore, when companies announce “commercial customers are increasing,”

    it is best not to interpret that as “quantum computers have begun to be commonly used in enterprise production.”

    Having commercial customers is not the same as proving quantum computers’ commercial value.

    Revenue growth is not the same as practical quantum computing

    Quantum companies are already generating revenue.

    But that revenue comprises hardware sales, government contracts, PoCs, joint research, cloud usage, sensing, and communications.

    What quantum companies are earning and whether quantum computers have become a technology that earns money in production are still not the same thing.

    To assess the current state of commercialization, one should look less at headline revenue and more at who is paying, for what, and whether the payments are ongoing.

    Related articles

    • evaluating a quantum computer’s performance
    • running a proof of concept (PoC)
    • conducting joint research
    • developing algorithms to prepare for the future
    • experimentally using quantum computers on the cloud
    • purchasing quantum sensing or communications products rather than quantum compute

    Any of these activities can qualify a firm as a commercial customer.

    That is entirely different from saying a quantum computer is integrated into a company’s daily operational systems and continuously delivering superior economic value over classical methods.

    Current quantum computers still face substantial limitations in performance, error rates, problem size, and cost.

    At present, cases where one can externally verify that quantum computing has demonstrated clear economic advantage over classical computing and that companies are paying recurring fees for that reason are virtually non-existent. Although D-Wave and others have published multiple “production applications,” the degree to which QPUs contribute within quantum-classical hybrid processing or the associated economic superiority over traditional methods has not been made fully transparent.

    Therefore, when companies announce “commercial customers are increasing,”

    it is best not to interpret that as “quantum computers have begun to be commonly used in enterprise production.”

    Having commercial customers is not the same as proving quantum computers’ commercial value.

    Revenue growth is not the same as practical quantum computing

    Quantum companies are already generating revenue.

    But that revenue comprises hardware sales, government contracts, PoCs, joint research, cloud usage, sensing, and communications.

    What quantum companies are earning and whether quantum computers have become a technology that earns money in production are still not the same thing.

    To assess the current state of commercialization, one should look less at headline revenue and more at who is paying, for what, and whether the payments are ongoing.

    Related articles

    Quantum companies’ revenues have started to rise.

    In Q2 2026, IonQ reported $80.10 million (about ¥12.7 billion), Infleqtion reported $13.50 million (about ¥2.1 billion), Quantinuum reported $8.00 million (about ¥1.27 billion), Rigetti Computing reported $5.10 million (about ¥810 million), and D-Wave Quantum reported $3.10 million (about ¥490 million) in revenue.

    IonQ grew 287% year over year, Quantinuum 279%, and Infleqtion 157%. Looking at the raw numbers, it can appear that the quantum-computing market is rapidly commercializing and monetizing.

    However, what exactly are quantum companies selling to generate these revenues?

    Is it quantum compute time? Physical hardware? Government R&D contracts? Quantum sensing or communications?

    Tracing the current revenue structures of major quantum firms shows that the phrase “commercialization of the quantum market” often contains very different realities than the commonly imagined ‘‘commercialization of quantum computers’’.

    *Currency conversions are approximate, using an exchange rate of $1 ≈ ¥159 as of August 20, 2026.

    IonQ — the $12.7 billion quarter is not purely “quantum compute fees”

    IonQ stands out in Q2 2026.

    Revenue was $80.10 million (about ¥12.7 billion), roughly four times year-over-year and far above other pure-play quantum companies.

    However, it would be inaccurate to interpret this number as “IonQ’s quantum computers were used for about ¥12.7 billion worth of compute.”

    IonQ is no longer a company that only does quantum computing.

    Through successive acquisitions, the company has expanded into quantum networking, quantum security, sensing, photonics, and space-related technologies.

    For Q2 the company said roughly 25% of revenue came from customers using multiple product categories. About 60% of revenue was classified as “commercial,” but the scope of that commercial business has broadened significantly compared with the past.

    The company attributes revenue growth to Tempo quantum computer deployments and cloud usage, as well as demand across its broader “quantum platform.”

    In other words, IonQ’s current revenue should be viewed as

    quantum computing + quantum networking + security + sensing + other quantum-related businesses

    combined.

    While revenue is clearly growing rapidly, that growth alone no longer lets you infer the commercial demand for quantum computers themselves.

    Infleqtion — all quantum, but government contracts remain central

    Infleqtion is also interesting.

    Q2 2026 revenue was $13.50 million (about ¥2.1 billion), a 157% year-over-year increase. The company emphasized that this revenue was “100% organic and entirely from quantum.”

    Unlike IonQ, its growth is not being boosted by acquired non-quantum businesses.

    But “entirely quantum” is not the same as “revenue from commercial use of quantum computers.”

    Infleqtion develops the neutral-atom quantum computer “Sqale,” but it also has significant business lines in atomic clocks and quantum sensing.

    Moreover, government contracts play a large role in the company’s revenue. For example, Infleqtion has a $20 million (about ¥3.18 billion) contract with NASA to develop a spaceborne quantum gravity gradiometer. In Q1 2026 that NASA contract alone increased year-over-year revenue by about $4.0 million (about ¥640 million). The company has also derived revenue from the U.S. Department of Defense, the U.S. Army, the European Space Agency, and Japanese government projects.

    Infleqtion’s revenue is certainly “quantum,” but it includes

    quantum computing, quantum sensing, atomic clocks, and government R&D

    all together.

    Again, revenue from a quantum company should be distinguished from revenue specifically generated by commercial use of quantum computers.

    D-Wave — selling a single machine can change the financials

    D-Wave is one of the clearest examples of the current market structure.

    Q2 2026 revenue was $3.10 million (about ¥490 million), roughly flat year-over-year.

    However, first-half 2025 revenue was $18.10 million (about ¥2.88 billion), while first-half 2026 revenue was $5.90 million (about ¥940 million) — a 67% decline.

    The reason is simple: in the first half of 2025 D-Wave recorded a $13.70 million (about ¥2.18 billion) sale of a quantum computer. Selling one large quantum machine can materially swing annual or quarterly revenue for today’s quantum companies.

    D-Wave also offers a cloud service, Leap, as Quantum Computing as a Service (QCaaS).

    Of Leap’s QCaaS revenue in H1 2026, $1.30 million (about ¥210 million) was classified by D-Wave as revenue from “production applications,” representing 37.3% of total QCaaS revenue. In the prior-year period that figure was $0.30 million (about ¥48 million), or 9.8%.

    On the surface, those numbers suggest that production use of quantum computers is expanding. But this interpretation requires caution.

    Leap provides both direct QPU access and quantum-classical hybrid solvers. The internal workings of the latter are a black box to users: external observers cannot verify whether a QPU was actually used for a given calculation, or to what extent a QPU contributed to the result.

    What these figures do indicate is that D-Wave’s optimization services classified as “production” are being used. They do not definitively quantify the commercial value of the QPU itself.

    D-Wave’s current revenue model combines

    hardware sales + cloud usage + professional services

    with multiple models coexisting.

    Particularly, QCaaS “production” revenue should be read separately from metrics that would directly prove the QPU’s commercial usage.

    Rigetti — selling QPUs as well as offering cloud access

    Rigetti has also broadened how it generates revenue in recent years.

    Q2 2026 revenue was $5.10 million (about ¥810 million). The company attributes revenue growth to sales of the nine-qubit Novera quantum computing system and related products.

    Historically Rigetti provided quantum computing through its cloud QCS and via platforms such as Amazon Braket and Microsoft Azure Quantum.

    More recently, however, sales of QPUs and on-premises quantum systems directly to universities, research institutions, and HPC centers have become notable.

    For example, in Q1 2026 Rigetti sold and shipped a Novera QPU to the University of Saskatchewan in Canada. It is also delivering systems to India’s C-DAC and the Pittsburgh Supercomputing Center.

    What customers are buying in these cases is less a service that accelerates existing business processes and more research equipment to study and validate quantum computers themselves.

    More hardware sales will raise revenue, but that should not automatically be interpreted as equivalent to widespread industrial demand for quantum computation.

    Quantinuum — continuous cloud access as a different model

    Quantinuum presents a somewhat different case.

    Q2 2026 revenue was $8.00 million (about ¥1.27 billion), a 279% year-over-year increase.

    Notably, Quantinuum cites cloud business as the primary driver of its revenue growth.

    Unlike hardware sales or government contracts, cloud usage can build recurring revenue as long as customers keep using it. However, increased cloud usage does not necessarily mean those computations are generating economic value in customers’ production workflows — research, evaluation, and algorithm development are included.

    Still, how far a model that sells continued access to quantum compute capacity rather than the machines themselves can scale will be an important indicator of commercialization in the quantum industry.

    The same “revenue” can mean very different things

    Summarizing so far, current quantum-company revenue falls into at least the following categories.

    Type of revenueTypical examplesCharacteristics
    Sales of quantum computer hardwareD-Wave, RigettiSingle sales can be large, but revenue timing is project-dependent
    Cloud compute usageQuantinuum, D-Wave, IonQ, RigettiCan become recurring/stock-like if usage is sustained
    Government and R&D contractsInfleqtion, etc.A major source of demand in today’s quantum industry
    Quantum sensing and communicationsIonQ, InfleqtionMarkets outside quantum computing
    Professional services and joint researchVarious firmsPoCs, algorithm development, deployment support, etc.

    On the books, these are all simply revenue.

    But their implications for the industry’s maturity are quite different.

    For example, if a research institution buys a $20 million (about ¥3.18 billion) quantum computer, the manufacturer records about ¥3.18 billion in revenue.

    However, that does not necessarily mean that

    “the quantum computer was purchased because using it will generate more than ¥3.18 billion in economic value”

    It might have been bought as research equipment.

    It might be for national strategy reasons, to maintain domestic quantum computing capability.

    Or it might be an R&D investment to prepare for the future.

    Conversely, if a company pays monthly for quantum compute services and continuously reduces logistics or production costs as a result, the same revenue figure has a very different meaning.

    “Commercial customer” does not mean “a company using quantum computers in production”

    This point deserves special attention when assessing the current quantum industry.

    Quantum companies often report revenue from “commercial customers” or “commercial revenue.”

    D-Wave said 62.4% of Q2 2026 revenue came from commercial customers. IonQ also reports about 60% commercial revenue.

    From the headline numbers, one might conclude

    “Sixty percent of revenue comes from private companies using quantum computers in production.”

    But reading it that way today is almost certainly misleading.

    “Commercial customer” simply denotes a non-government, non-research institutional customer.

    Such a customer may be:

    • evaluating a quantum computer’s performance
    • running a proof of concept (PoC)
    • conducting joint research
    • developing algorithms to prepare for the future
    • experimentally using quantum computers on the cloud
    • purchasing quantum sensing or communications products rather than quantum compute

    Any of these activities can qualify a firm as a commercial customer.

    That is entirely different from saying a quantum computer is integrated into a company’s daily operational systems and continuously delivering superior economic value over classical methods.

    Current quantum computers still face substantial limitations in performance, error rates, problem size, and cost.

    At present, cases where one can externally verify that quantum computing has demonstrated clear economic advantage over classical computing and that companies are paying recurring fees for that reason are virtually non-existent. Although D-Wave and others have published multiple “production applications,” the degree to which QPUs contribute within quantum-classical hybrid processing or the associated economic superiority over traditional methods has not been made fully transparent.

    Therefore, when companies announce “commercial customers are increasing,”

    it is best not to interpret that as “quantum computers have begun to be commonly used in enterprise production.”

    Having commercial customers is not the same as proving quantum computers’ commercial value.

    Revenue growth is not the same as practical quantum computing

    Quantum companies are already generating revenue.

    But that revenue comprises hardware sales, government contracts, PoCs, joint research, cloud usage, sensing, and communications.

    What quantum companies are earning and whether quantum computers have become a technology that earns money in production are still not the same thing.

    To assess the current state of commercialization, one should look less at headline revenue and more at who is paying, for what, and whether the payments are ongoing.

    Related articles

    • evaluating a quantum computer’s performance
    • running a proof of concept (PoC)
    • conducting joint research
    • developing algorithms to prepare for the future
    • experimentally using quantum computers on the cloud
    • purchasing quantum sensing or communications products rather than quantum compute

    Any of these activities can qualify a firm as a commercial customer.

    That is entirely different from saying a quantum computer is integrated into a company’s daily operational systems and continuously delivering superior economic value over classical methods.

    Current quantum computers still face substantial limitations in performance, error rates, problem size, and cost.

    At present, cases where one can externally verify that quantum computing has demonstrated clear economic advantage over classical computing and that companies are paying recurring fees for that reason are virtually non-existent. Although D-Wave and others have published multiple “production applications,” the degree to which QPUs contribute within quantum-classical hybrid processing or the associated economic superiority over traditional methods has not been made fully transparent.

    Therefore, when companies announce “commercial customers are increasing,”

    it is best not to interpret that as “quantum computers have begun to be commonly used in enterprise production.”

    Having commercial customers is not the same as proving quantum computers’ commercial value.

    Revenue growth is not the same as practical quantum computing

    Quantum companies are already generating revenue.

    But that revenue comprises hardware sales, government contracts, PoCs, joint research, cloud usage, sensing, and communications.

    What quantum companies are earning and whether quantum computers have become a technology that earns money in production are still not the same thing.

    To assess the current state of commercialization, one should look less at headline revenue and more at who is paying, for what, and whether the payments are ongoing.

    Related articles

    • evaluating a quantum computer’s performance
    • running a proof of concept (PoC)
    • conducting joint research
    • developing algorithms to prepare for the future
    • experimentally using quantum computers on the cloud
    • purchasing quantum sensing or communications products rather than quantum compute

    Any of these activities can qualify a firm as a commercial customer.

    That is entirely different from saying a quantum computer is integrated into a company’s daily operational systems and continuously delivering superior economic value over classical methods.

    Current quantum computers still face substantial limitations in performance, error rates, problem size, and cost.

    At present, cases where one can externally verify that quantum computing has demonstrated clear economic advantage over classical computing and that companies are paying recurring fees for that reason are virtually non-existent. Although D-Wave and others have published multiple “production applications,” the degree to which QPUs contribute within quantum-classical hybrid processing or the associated economic superiority over traditional methods has not been made fully transparent.

    Therefore, when companies announce “commercial customers are increasing,”

    it is best not to interpret that as “quantum computers have begun to be commonly used in enterprise production.”

    Having commercial customers is not the same as proving quantum computers’ commercial value.

    Revenue growth is not the same as practical quantum computing

    Quantum companies are already generating revenue.

    But that revenue comprises hardware sales, government contracts, PoCs, joint research, cloud usage, sensing, and communications.

    What quantum companies are earning and whether quantum computers have become a technology that earns money in production are still not the same thing.

    To assess the current state of commercialization, one should look less at headline revenue and more at who is paying, for what, and whether the payments are ongoing.

    Related articles

    Quantum companies’ revenues have started to rise.

    In Q2 2026, IonQ reported $80.10 million (about ¥12.7 billion), Infleqtion reported $13.50 million (about ¥2.1 billion), Quantinuum reported $8.00 million (about ¥1.27 billion), Rigetti Computing reported $5.10 million (about ¥810 million), and D-Wave Quantum reported $3.10 million (about ¥490 million) in revenue.

    IonQ grew 287% year over year, Quantinuum 279%, and Infleqtion 157%. Looking at the raw numbers, it can appear that the quantum-computing market is rapidly commercializing and monetizing.

    However, what exactly are quantum companies selling to generate these revenues?

    Is it quantum compute time? Physical hardware? Government R&D contracts? Quantum sensing or communications?

    Tracing the current revenue structures of major quantum firms shows that the phrase “commercialization of the quantum market” often contains very different realities than the commonly imagined ‘‘commercialization of quantum computers’’.

    *Currency conversions are approximate, using an exchange rate of $1 ≈ ¥159 as of August 20, 2026.

    IonQ — the $12.7 billion quarter is not purely “quantum compute fees”

    IonQ stands out in Q2 2026.

    Revenue was $80.10 million (about ¥12.7 billion), roughly four times year-over-year and far above other pure-play quantum companies.

    However, it would be inaccurate to interpret this number as “IonQ’s quantum computers were used for about ¥12.7 billion worth of compute.”

    IonQ is no longer a company that only does quantum computing.

    Through successive acquisitions, the company has expanded into quantum networking, quantum security, sensing, photonics, and space-related technologies.

    For Q2 the company said roughly 25% of revenue came from customers using multiple product categories. About 60% of revenue was classified as “commercial,” but the scope of that commercial business has broadened significantly compared with the past.

    The company attributes revenue growth to Tempo quantum computer deployments and cloud usage, as well as demand across its broader “quantum platform.”

    In other words, IonQ’s current revenue should be viewed as

    quantum computing + quantum networking + security + sensing + other quantum-related businesses

    combined.

    While revenue is clearly growing rapidly, that growth alone no longer lets you infer the commercial demand for quantum computers themselves.

    Infleqtion — all quantum, but government contracts remain central

    Infleqtion is also interesting.

    Q2 2026 revenue was $13.50 million (about ¥2.1 billion), a 157% year-over-year increase. The company emphasized that this revenue was “100% organic and entirely from quantum.”

    Unlike IonQ, its growth is not being boosted by acquired non-quantum businesses.

    But “entirely quantum” is not the same as “revenue from commercial use of quantum computers.”

    Infleqtion develops the neutral-atom quantum computer “Sqale,” but it also has significant business lines in atomic clocks and quantum sensing.

    Moreover, government contracts play a large role in the company’s revenue. For example, Infleqtion has a $20 million (about ¥3.18 billion) contract with NASA to develop a spaceborne quantum gravity gradiometer. In Q1 2026 that NASA contract alone increased year-over-year revenue by about $4.0 million (about ¥640 million). The company has also derived revenue from the U.S. Department of Defense, the U.S. Army, the European Space Agency, and Japanese government projects.

    Infleqtion’s revenue is certainly “quantum,” but it includes

    quantum computing, quantum sensing, atomic clocks, and government R&D

    all together.

    Again, revenue from a quantum company should be distinguished from revenue specifically generated by commercial use of quantum computers.

    D-Wave — selling a single machine can change the financials

    D-Wave is one of the clearest examples of the current market structure.

    Q2 2026 revenue was $3.10 million (about ¥490 million), roughly flat year-over-year.

    However, first-half 2025 revenue was $18.10 million (about ¥2.88 billion), while first-half 2026 revenue was $5.90 million (about ¥940 million) — a 67% decline.

    The reason is simple: in the first half of 2025 D-Wave recorded a $13.70 million (about ¥2.18 billion) sale of a quantum computer. Selling one large quantum machine can materially swing annual or quarterly revenue for today’s quantum companies.

    D-Wave also offers a cloud service, Leap, as Quantum Computing as a Service (QCaaS).

    Of Leap’s QCaaS revenue in H1 2026, $1.30 million (about ¥210 million) was classified by D-Wave as revenue from “production applications,” representing 37.3% of total QCaaS revenue. In the prior-year period that figure was $0.30 million (about ¥48 million), or 9.8%.

    On the surface, those numbers suggest that production use of quantum computers is expanding. But this interpretation requires caution.

    Leap provides both direct QPU access and quantum-classical hybrid solvers. The internal workings of the latter are a black box to users: external observers cannot verify whether a QPU was actually used for a given calculation, or to what extent a QPU contributed to the result.

    What these figures do indicate is that D-Wave’s optimization services classified as “production” are being used. They do not definitively quantify the commercial value of the QPU itself.

    D-Wave’s current revenue model combines

    hardware sales + cloud usage + professional services

    with multiple models coexisting.

    Particularly, QCaaS “production” revenue should be read separately from metrics that would directly prove the QPU’s commercial usage.

    Rigetti — selling QPUs as well as offering cloud access

    Rigetti has also broadened how it generates revenue in recent years.

    Q2 2026 revenue was $5.10 million (about ¥810 million). The company attributes revenue growth to sales of the nine-qubit Novera quantum computing system and related products.

    Historically Rigetti provided quantum computing through its cloud QCS and via platforms such as Amazon Braket and Microsoft Azure Quantum.

    More recently, however, sales of QPUs and on-premises quantum systems directly to universities, research institutions, and HPC centers have become notable.

    For example, in Q1 2026 Rigetti sold and shipped a Novera QPU to the University of Saskatchewan in Canada. It is also delivering systems to India’s C-DAC and the Pittsburgh Supercomputing Center.

    What customers are buying in these cases is less a service that accelerates existing business processes and more research equipment to study and validate quantum computers themselves.

    More hardware sales will raise revenue, but that should not automatically be interpreted as equivalent to widespread industrial demand for quantum computation.

    Quantinuum — continuous cloud access as a different model

    Quantinuum presents a somewhat different case.

    Q2 2026 revenue was $8.00 million (about ¥1.27 billion), a 279% year-over-year increase.

    Notably, Quantinuum cites cloud business as the primary driver of its revenue growth.

    Unlike hardware sales or government contracts, cloud usage can build recurring revenue as long as customers keep using it. However, increased cloud usage does not necessarily mean those computations are generating economic value in customers’ production workflows — research, evaluation, and algorithm development are included.

    Still, how far a model that sells continued access to quantum compute capacity rather than the machines themselves can scale will be an important indicator of commercialization in the quantum industry.

    The same “revenue” can mean very different things

    Summarizing so far, current quantum-company revenue falls into at least the following categories.

    Type of revenueTypical examplesCharacteristics
    Sales of quantum computer hardwareD-Wave, RigettiSingle sales can be large, but revenue timing is project-dependent
    Cloud compute usageQuantinuum, D-Wave, IonQ, RigettiCan become recurring/stock-like if usage is sustained
    Government and R&D contractsInfleqtion, etc.A major source of demand in today’s quantum industry
    Quantum sensing and communicationsIonQ, InfleqtionMarkets outside quantum computing
    Professional services and joint researchVarious firmsPoCs, algorithm development, deployment support, etc.

    On the books, these are all simply revenue.

    But their implications for the industry’s maturity are quite different.

    For example, if a research institution buys a $20 million (about ¥3.18 billion) quantum computer, the manufacturer records about ¥3.18 billion in revenue.

    However, that does not necessarily mean that

    “the quantum computer was purchased because using it will generate more than ¥3.18 billion in economic value”

    It might have been bought as research equipment.

    It might be for national strategy reasons, to maintain domestic quantum computing capability.

    Or it might be an R&D investment to prepare for the future.

    Conversely, if a company pays monthly for quantum compute services and continuously reduces logistics or production costs as a result, the same revenue figure has a very different meaning.

    “Commercial customer” does not mean “a company using quantum computers in production”

    This point deserves special attention when assessing the current quantum industry.

    Quantum companies often report revenue from “commercial customers” or “commercial revenue.”

    D-Wave said 62.4% of Q2 2026 revenue came from commercial customers. IonQ also reports about 60% commercial revenue.

    From the headline numbers, one might conclude

    “Sixty percent of revenue comes from private companies using quantum computers in production.”

    But reading it that way today is almost certainly misleading.

    “Commercial customer” simply denotes a non-government, non-research institutional customer.

    Such a customer may be:

    • evaluating a quantum computer’s performance
    • running a proof of concept (PoC)
    • conducting joint research
    • developing algorithms to prepare for the future
    • experimentally using quantum computers on the cloud
    • purchasing quantum sensing or communications products rather than quantum compute

    Any of these activities can qualify a firm as a commercial customer.

    That is entirely different from saying a quantum computer is integrated into a company’s daily operational systems and continuously delivering superior economic value over classical methods.

    Current quantum computers still face substantial limitations in performance, error rates, problem size, and cost.

    At present, cases where one can externally verify that quantum computing has demonstrated clear economic advantage over classical computing and that companies are paying recurring fees for that reason are virtually non-existent. Although D-Wave and others have published multiple “production applications,” the degree to which QPUs contribute within quantum-classical hybrid processing or the associated economic superiority over traditional methods has not been made fully transparent.

    Therefore, when companies announce “commercial customers are increasing,”

    it is best not to interpret that as “quantum computers have begun to be commonly used in enterprise production.”

    Having commercial customers is not the same as proving quantum computers’ commercial value.

    Revenue growth is not the same as practical quantum computing

    Quantum companies are already generating revenue.

    But that revenue comprises hardware sales, government contracts, PoCs, joint research, cloud usage, sensing, and communications.

    What quantum companies are earning and whether quantum computers have become a technology that earns money in production are still not the same thing.

    To assess the current state of commercialization, one should look less at headline revenue and more at who is paying, for what, and whether the payments are ongoing.

    Related articles

  • developing algorithms to prepare for the future
  • experimentally using quantum computers on the cloud
  • purchasing quantum sensing or communications products rather than quantum compute
  • Any of these activities can qualify a firm as a commercial customer.

    That is entirely different from saying a quantum computer is integrated into a company’s daily operational systems and continuously delivering superior economic value over classical methods.

    Current quantum computers still face substantial limitations in performance, error rates, problem size, and cost.

    At present, cases where one can externally verify that quantum computing has demonstrated clear economic advantage over classical computing and that companies are paying recurring fees for that reason are virtually non-existent. Although D-Wave and others have published multiple “production applications,” the degree to which QPUs contribute within quantum-classical hybrid processing or the associated economic superiority over traditional methods has not been made fully transparent.

    Therefore, when companies announce “commercial customers are increasing,”

    it is best not to interpret that as “quantum computers have begun to be commonly used in enterprise production.”

    Having commercial customers is not the same as proving quantum computers’ commercial value.

    Revenue growth is not the same as practical quantum computing

    Quantum companies are already generating revenue.

    But that revenue comprises hardware sales, government contracts, PoCs, joint research, cloud usage, sensing, and communications.

    What quantum companies are earning and whether quantum computers have become a technology that earns money in production are still not the same thing.

    To assess the current state of commercialization, one should look less at headline revenue and more at who is paying, for what, and whether the payments are ongoing.

    Related articles

    • evaluating a quantum computer’s performance
    • running a proof of concept (PoC)
    • conducting joint research
    • developing algorithms to prepare for the future
    • experimentally using quantum computers on the cloud
    • purchasing quantum sensing or communications products rather than quantum compute

    Any of these activities can qualify a firm as a commercial customer.

    That is entirely different from saying a quantum computer is integrated into a company’s daily operational systems and continuously delivering superior economic value over classical methods.

    Current quantum computers still face substantial limitations in performance, error rates, problem size, and cost.

    At present, cases where one can externally verify that quantum computing has demonstrated clear economic advantage over classical computing and that companies are paying recurring fees for that reason are virtually non-existent. Although D-Wave and others have published multiple “production applications,” the degree to which QPUs contribute within quantum-classical hybrid processing or the associated economic superiority over traditional methods has not been made fully transparent.

    Therefore, when companies announce “commercial customers are increasing,”

    it is best not to interpret that as “quantum computers have begun to be commonly used in enterprise production.”

    Having commercial customers is not the same as proving quantum computers’ commercial value.

    Revenue growth is not the same as practical quantum computing

    Quantum companies are already generating revenue.

    But that revenue comprises hardware sales, government contracts, PoCs, joint research, cloud usage, sensing, and communications.

    What quantum companies are earning and whether quantum computers have become a technology that earns money in production are still not the same thing.

    To assess the current state of commercialization, one should look less at headline revenue and more at who is paying, for what, and whether the payments are ongoing.

    Related articles

    • evaluating a quantum computer’s performance
    • running a proof of concept (PoC)
    • conducting joint research
    • developing algorithms to prepare for the future
    • experimentally using quantum computers on the cloud
    • purchasing quantum sensing or communications products rather than quantum compute

    Any of these activities can qualify a firm as a commercial customer.

    That is entirely different from saying a quantum computer is integrated into a company’s daily operational systems and continuously delivering superior economic value over classical methods.

    Current quantum computers still face substantial limitations in performance, error rates, problem size, and cost.

    At present, cases where one can externally verify that quantum computing has demonstrated clear economic advantage over classical computing and that companies are paying recurring fees for that reason are virtually non-existent. Although D-Wave and others have published multiple “production applications,” the degree to which QPUs contribute within quantum-classical hybrid processing or the associated economic superiority over traditional methods has not been made fully transparent.

    Therefore, when companies announce “commercial customers are increasing,”

    it is best not to interpret that as “quantum computers have begun to be commonly used in enterprise production.”

    Having commercial customers is not the same as proving quantum computers’ commercial value.

    Revenue growth is not the same as practical quantum computing

    Quantum companies are already generating revenue.

    But that revenue comprises hardware sales, government contracts, PoCs, joint research, cloud usage, sensing, and communications.

    What quantum companies are earning and whether quantum computers have become a technology that earns money in production are still not the same thing.

    To assess the current state of commercialization, one should look less at headline revenue and more at who is paying, for what, and whether the payments are ongoing.

    Related articles

    Quantum companies’ revenues have started to rise.

    In Q2 2026, IonQ reported $80.10 million (about ¥12.7 billion), Infleqtion reported $13.50 million (about ¥2.1 billion), Quantinuum reported $8.00 million (about ¥1.27 billion), Rigetti Computing reported $5.10 million (about ¥810 million), and D-Wave Quantum reported $3.10 million (about ¥490 million) in revenue.

    IonQ grew 287% year over year, Quantinuum 279%, and Infleqtion 157%. Looking at the raw numbers, it can appear that the quantum-computing market is rapidly commercializing and monetizing.

    However, what exactly are quantum companies selling to generate these revenues?

    Is it quantum compute time? Physical hardware? Government R&D contracts? Quantum sensing or communications?

    Tracing the current revenue structures of major quantum firms shows that the phrase “commercialization of the quantum market” often contains very different realities than the commonly imagined ‘‘commercialization of quantum computers’’.

    *Currency conversions are approximate, using an exchange rate of $1 ≈ ¥159 as of August 20, 2026.

    IonQ — the $12.7 billion quarter is not purely “quantum compute fees”

    IonQ stands out in Q2 2026.

    Revenue was $80.10 million (about ¥12.7 billion), roughly four times year-over-year and far above other pure-play quantum companies.

    However, it would be inaccurate to interpret this number as “IonQ’s quantum computers were used for about ¥12.7 billion worth of compute.”

    IonQ is no longer a company that only does quantum computing.

    Through successive acquisitions, the company has expanded into quantum networking, quantum security, sensing, photonics, and space-related technologies.

    For Q2 the company said roughly 25% of revenue came from customers using multiple product categories. About 60% of revenue was classified as “commercial,” but the scope of that commercial business has broadened significantly compared with the past.

    The company attributes revenue growth to Tempo quantum computer deployments and cloud usage, as well as demand across its broader “quantum platform.”

    In other words, IonQ’s current revenue should be viewed as

    quantum computing + quantum networking + security + sensing + other quantum-related businesses

    combined.

    While revenue is clearly growing rapidly, that growth alone no longer lets you infer the commercial demand for quantum computers themselves.

    Infleqtion — all quantum, but government contracts remain central

    Infleqtion is also interesting.

    Q2 2026 revenue was $13.50 million (about ¥2.1 billion), a 157% year-over-year increase. The company emphasized that this revenue was “100% organic and entirely from quantum.”

    Unlike IonQ, its growth is not being boosted by acquired non-quantum businesses.

    But “entirely quantum” is not the same as “revenue from commercial use of quantum computers.”

    Infleqtion develops the neutral-atom quantum computer “Sqale,” but it also has significant business lines in atomic clocks and quantum sensing.

    Moreover, government contracts play a large role in the company’s revenue. For example, Infleqtion has a $20 million (about ¥3.18 billion) contract with NASA to develop a spaceborne quantum gravity gradiometer. In Q1 2026 that NASA contract alone increased year-over-year revenue by about $4.0 million (about ¥640 million). The company has also derived revenue from the U.S. Department of Defense, the U.S. Army, the European Space Agency, and Japanese government projects.

    Infleqtion’s revenue is certainly “quantum,” but it includes

    quantum computing, quantum sensing, atomic clocks, and government R&D

    all together.

    Again, revenue from a quantum company should be distinguished from revenue specifically generated by commercial use of quantum computers.

    D-Wave — selling a single machine can change the financials

    D-Wave is one of the clearest examples of the current market structure.

    Q2 2026 revenue was $3.10 million (about ¥490 million), roughly flat year-over-year.

    However, first-half 2025 revenue was $18.10 million (about ¥2.88 billion), while first-half 2026 revenue was $5.90 million (about ¥940 million) — a 67% decline.

    The reason is simple: in the first half of 2025 D-Wave recorded a $13.70 million (about ¥2.18 billion) sale of a quantum computer. Selling one large quantum machine can materially swing annual or quarterly revenue for today’s quantum companies.

    D-Wave also offers a cloud service, Leap, as Quantum Computing as a Service (QCaaS).

    Of Leap’s QCaaS revenue in H1 2026, $1.30 million (about ¥210 million) was classified by D-Wave as revenue from “production applications,” representing 37.3% of total QCaaS revenue. In the prior-year period that figure was $0.30 million (about ¥48 million), or 9.8%.

    On the surface, those numbers suggest that production use of quantum computers is expanding. But this interpretation requires caution.

    Leap provides both direct QPU access and quantum-classical hybrid solvers. The internal workings of the latter are a black box to users: external observers cannot verify whether a QPU was actually used for a given calculation, or to what extent a QPU contributed to the result.

    What these figures do indicate is that D-Wave’s optimization services classified as “production” are being used. They do not definitively quantify the commercial value of the QPU itself.

    D-Wave’s current revenue model combines

    hardware sales + cloud usage + professional services

    with multiple models coexisting.

    Particularly, QCaaS “production” revenue should be read separately from metrics that would directly prove the QPU’s commercial usage.

    Rigetti — selling QPUs as well as offering cloud access

    Rigetti has also broadened how it generates revenue in recent years.

    Q2 2026 revenue was $5.10 million (about ¥810 million). The company attributes revenue growth to sales of the nine-qubit Novera quantum computing system and related products.

    Historically Rigetti provided quantum computing through its cloud QCS and via platforms such as Amazon Braket and Microsoft Azure Quantum.

    More recently, however, sales of QPUs and on-premises quantum systems directly to universities, research institutions, and HPC centers have become notable.

    For example, in Q1 2026 Rigetti sold and shipped a Novera QPU to the University of Saskatchewan in Canada. It is also delivering systems to India’s C-DAC and the Pittsburgh Supercomputing Center.

    What customers are buying in these cases is less a service that accelerates existing business processes and more research equipment to study and validate quantum computers themselves.

    More hardware sales will raise revenue, but that should not automatically be interpreted as equivalent to widespread industrial demand for quantum computation.

    Quantinuum — continuous cloud access as a different model

    Quantinuum presents a somewhat different case.

    Q2 2026 revenue was $8.00 million (about ¥1.27 billion), a 279% year-over-year increase.

    Notably, Quantinuum cites cloud business as the primary driver of its revenue growth.

    Unlike hardware sales or government contracts, cloud usage can build recurring revenue as long as customers keep using it. However, increased cloud usage does not necessarily mean those computations are generating economic value in customers’ production workflows — research, evaluation, and algorithm development are included.

    Still, how far a model that sells continued access to quantum compute capacity rather than the machines themselves can scale will be an important indicator of commercialization in the quantum industry.

    The same “revenue” can mean very different things

    Summarizing so far, current quantum-company revenue falls into at least the following categories.

    Type of revenueTypical examplesCharacteristics
    Sales of quantum computer hardwareD-Wave, RigettiSingle sales can be large, but revenue timing is project-dependent
    Cloud compute usageQuantinuum, D-Wave, IonQ, RigettiCan become recurring/stock-like if usage is sustained
    Government and R&D contractsInfleqtion, etc.A major source of demand in today’s quantum industry
    Quantum sensing and communicationsIonQ, InfleqtionMarkets outside quantum computing
    Professional services and joint researchVarious firmsPoCs, algorithm development, deployment support, etc.

    On the books, these are all simply revenue.

    But their implications for the industry’s maturity are quite different.

    For example, if a research institution buys a $20 million (about ¥3.18 billion) quantum computer, the manufacturer records about ¥3.18 billion in revenue.

    However, that does not necessarily mean that

    “the quantum computer was purchased because using it will generate more than ¥3.18 billion in economic value”

    It might have been bought as research equipment.

    It might be for national strategy reasons, to maintain domestic quantum computing capability.

    Or it might be an R&D investment to prepare for the future.

    Conversely, if a company pays monthly for quantum compute services and continuously reduces logistics or production costs as a result, the same revenue figure has a very different meaning.

    “Commercial customer” does not mean “a company using quantum computers in production”

    This point deserves special attention when assessing the current quantum industry.

    Quantum companies often report revenue from “commercial customers” or “commercial revenue.”

    D-Wave said 62.4% of Q2 2026 revenue came from commercial customers. IonQ also reports about 60% commercial revenue.

    From the headline numbers, one might conclude

    “Sixty percent of revenue comes from private companies using quantum computers in production.”

    But reading it that way today is almost certainly misleading.

    “Commercial customer” simply denotes a non-government, non-research institutional customer.

    Such a customer may be:

    • evaluating a quantum computer’s performance
    • running a proof of concept (PoC)
    • conducting joint research
    • developing algorithms to prepare for the future
    • experimentally using quantum computers on the cloud
    • purchasing quantum sensing or communications products rather than quantum compute

    Any of these activities can qualify a firm as a commercial customer.

    That is entirely different from saying a quantum computer is integrated into a company’s daily operational systems and continuously delivering superior economic value over classical methods.

    Current quantum computers still face substantial limitations in performance, error rates, problem size, and cost.

    At present, cases where one can externally verify that quantum computing has demonstrated clear economic advantage over classical computing and that companies are paying recurring fees for that reason are virtually non-existent. Although D-Wave and others have published multiple “production applications,” the degree to which QPUs contribute within quantum-classical hybrid processing or the associated economic superiority over traditional methods has not been made fully transparent.

    Therefore, when companies announce “commercial customers are increasing,”

    it is best not to interpret that as “quantum computers have begun to be commonly used in enterprise production.”

    Having commercial customers is not the same as proving quantum computers’ commercial value.

    Revenue growth is not the same as practical quantum computing

    Quantum companies are already generating revenue.

    But that revenue comprises hardware sales, government contracts, PoCs, joint research, cloud usage, sensing, and communications.

    What quantum companies are earning and whether quantum computers have become a technology that earns money in production are still not the same thing.

    To assess the current state of commercialization, one should look less at headline revenue and more at who is paying, for what, and whether the payments are ongoing.

    Related articles

  • conducting joint research
  • developing algorithms to prepare for the future
  • experimentally using quantum computers on the cloud
  • purchasing quantum sensing or communications products rather than quantum compute
  • Any of these activities can qualify a firm as a commercial customer.

    That is entirely different from saying a quantum computer is integrated into a company’s daily operational systems and continuously delivering superior economic value over classical methods.

    Current quantum computers still face substantial limitations in performance, error rates, problem size, and cost.

    At present, cases where one can externally verify that quantum computing has demonstrated clear economic advantage over classical computing and that companies are paying recurring fees for that reason are virtually non-existent. Although D-Wave and others have published multiple “production applications,” the degree to which QPUs contribute within quantum-classical hybrid processing or the associated economic superiority over traditional methods has not been made fully transparent.

    Therefore, when companies announce “commercial customers are increasing,”

    it is best not to interpret that as “quantum computers have begun to be commonly used in enterprise production.”

    Having commercial customers is not the same as proving quantum computers’ commercial value.

    Revenue growth is not the same as practical quantum computing

    Quantum companies are already generating revenue.

    But that revenue comprises hardware sales, government contracts, PoCs, joint research, cloud usage, sensing, and communications.

    What quantum companies are earning and whether quantum computers have become a technology that earns money in production are still not the same thing.

    To assess the current state of commercialization, one should look less at headline revenue and more at who is paying, for what, and whether the payments are ongoing.

    Related articles

    • evaluating a quantum computer’s performance
    • running a proof of concept (PoC)
    • conducting joint research
    • developing algorithms to prepare for the future
    • experimentally using quantum computers on the cloud
    • purchasing quantum sensing or communications products rather than quantum compute

    Any of these activities can qualify a firm as a commercial customer.

    That is entirely different from saying a quantum computer is integrated into a company’s daily operational systems and continuously delivering superior economic value over classical methods.

    Current quantum computers still face substantial limitations in performance, error rates, problem size, and cost.

    At present, cases where one can externally verify that quantum computing has demonstrated clear economic advantage over classical computing and that companies are paying recurring fees for that reason are virtually non-existent. Although D-Wave and others have published multiple “production applications,” the degree to which QPUs contribute within quantum-classical hybrid processing or the associated economic superiority over traditional methods has not been made fully transparent.

    Therefore, when companies announce “commercial customers are increasing,”

    it is best not to interpret that as “quantum computers have begun to be commonly used in enterprise production.”

    Having commercial customers is not the same as proving quantum computers’ commercial value.

    Revenue growth is not the same as practical quantum computing

    Quantum companies are already generating revenue.

    But that revenue comprises hardware sales, government contracts, PoCs, joint research, cloud usage, sensing, and communications.

    What quantum companies are earning and whether quantum computers have become a technology that earns money in production are still not the same thing.

    To assess the current state of commercialization, one should look less at headline revenue and more at who is paying, for what, and whether the payments are ongoing.

    Related articles

    • evaluating a quantum computer’s performance
    • running a proof of concept (PoC)
    • conducting joint research
    • developing algorithms to prepare for the future
    • experimentally using quantum computers on the cloud
    • purchasing quantum sensing or communications products rather than quantum compute

    Any of these activities can qualify a firm as a commercial customer.

    That is entirely different from saying a quantum computer is integrated into a company’s daily operational systems and continuously delivering superior economic value over classical methods.

    Current quantum computers still face substantial limitations in performance, error rates, problem size, and cost.

    At present, cases where one can externally verify that quantum computing has demonstrated clear economic advantage over classical computing and that companies are paying recurring fees for that reason are virtually non-existent. Although D-Wave and others have published multiple “production applications,” the degree to which QPUs contribute within quantum-classical hybrid processing or the associated economic superiority over traditional methods has not been made fully transparent.

    Therefore, when companies announce “commercial customers are increasing,”

    it is best not to interpret that as “quantum computers have begun to be commonly used in enterprise production.”

    Having commercial customers is not the same as proving quantum computers’ commercial value.

    Revenue growth is not the same as practical quantum computing

    Quantum companies are already generating revenue.

    But that revenue comprises hardware sales, government contracts, PoCs, joint research, cloud usage, sensing, and communications.

    What quantum companies are earning and whether quantum computers have become a technology that earns money in production are still not the same thing.

    To assess the current state of commercialization, one should look less at headline revenue and more at who is paying, for what, and whether the payments are ongoing.

    Related articles

    Quantum companies’ revenues have started to rise.

    In Q2 2026, IonQ reported $80.10 million (about ¥12.7 billion), Infleqtion reported $13.50 million (about ¥2.1 billion), Quantinuum reported $8.00 million (about ¥1.27 billion), Rigetti Computing reported $5.10 million (about ¥810 million), and D-Wave Quantum reported $3.10 million (about ¥490 million) in revenue.

    IonQ grew 287% year over year, Quantinuum 279%, and Infleqtion 157%. Looking at the raw numbers, it can appear that the quantum-computing market is rapidly commercializing and monetizing.

    However, what exactly are quantum companies selling to generate these revenues?

    Is it quantum compute time? Physical hardware? Government R&D contracts? Quantum sensing or communications?

    Tracing the current revenue structures of major quantum firms shows that the phrase “commercialization of the quantum market” often contains very different realities than the commonly imagined ‘‘commercialization of quantum computers’’.

    *Currency conversions are approximate, using an exchange rate of $1 ≈ ¥159 as of August 20, 2026.

    IonQ — the $12.7 billion quarter is not purely “quantum compute fees”

    IonQ stands out in Q2 2026.

    Revenue was $80.10 million (about ¥12.7 billion), roughly four times year-over-year and far above other pure-play quantum companies.

    However, it would be inaccurate to interpret this number as “IonQ’s quantum computers were used for about ¥12.7 billion worth of compute.”

    IonQ is no longer a company that only does quantum computing.

    Through successive acquisitions, the company has expanded into quantum networking, quantum security, sensing, photonics, and space-related technologies.

    For Q2 the company said roughly 25% of revenue came from customers using multiple product categories. About 60% of revenue was classified as “commercial,” but the scope of that commercial business has broadened significantly compared with the past.

    The company attributes revenue growth to Tempo quantum computer deployments and cloud usage, as well as demand across its broader “quantum platform.”

    In other words, IonQ’s current revenue should be viewed as

    quantum computing + quantum networking + security + sensing + other quantum-related businesses

    combined.

    While revenue is clearly growing rapidly, that growth alone no longer lets you infer the commercial demand for quantum computers themselves.

    Infleqtion — all quantum, but government contracts remain central

    Infleqtion is also interesting.

    Q2 2026 revenue was $13.50 million (about ¥2.1 billion), a 157% year-over-year increase. The company emphasized that this revenue was “100% organic and entirely from quantum.”

    Unlike IonQ, its growth is not being boosted by acquired non-quantum businesses.

    But “entirely quantum” is not the same as “revenue from commercial use of quantum computers.”

    Infleqtion develops the neutral-atom quantum computer “Sqale,” but it also has significant business lines in atomic clocks and quantum sensing.

    Moreover, government contracts play a large role in the company’s revenue. For example, Infleqtion has a $20 million (about ¥3.18 billion) contract with NASA to develop a spaceborne quantum gravity gradiometer. In Q1 2026 that NASA contract alone increased year-over-year revenue by about $4.0 million (about ¥640 million). The company has also derived revenue from the U.S. Department of Defense, the U.S. Army, the European Space Agency, and Japanese government projects.

    Infleqtion’s revenue is certainly “quantum,” but it includes

    quantum computing, quantum sensing, atomic clocks, and government R&D

    all together.

    Again, revenue from a quantum company should be distinguished from revenue specifically generated by commercial use of quantum computers.

    D-Wave — selling a single machine can change the financials

    D-Wave is one of the clearest examples of the current market structure.

    Q2 2026 revenue was $3.10 million (about ¥490 million), roughly flat year-over-year.

    However, first-half 2025 revenue was $18.10 million (about ¥2.88 billion), while first-half 2026 revenue was $5.90 million (about ¥940 million) — a 67% decline.

    The reason is simple: in the first half of 2025 D-Wave recorded a $13.70 million (about ¥2.18 billion) sale of a quantum computer. Selling one large quantum machine can materially swing annual or quarterly revenue for today’s quantum companies.

    D-Wave also offers a cloud service, Leap, as Quantum Computing as a Service (QCaaS).

    Of Leap’s QCaaS revenue in H1 2026, $1.30 million (about ¥210 million) was classified by D-Wave as revenue from “production applications,” representing 37.3% of total QCaaS revenue. In the prior-year period that figure was $0.30 million (about ¥48 million), or 9.8%.

    On the surface, those numbers suggest that production use of quantum computers is expanding. But this interpretation requires caution.

    Leap provides both direct QPU access and quantum-classical hybrid solvers. The internal workings of the latter are a black box to users: external observers cannot verify whether a QPU was actually used for a given calculation, or to what extent a QPU contributed to the result.

    What these figures do indicate is that D-Wave’s optimization services classified as “production” are being used. They do not definitively quantify the commercial value of the QPU itself.

    D-Wave’s current revenue model combines

    hardware sales + cloud usage + professional services

    with multiple models coexisting.

    Particularly, QCaaS “production” revenue should be read separately from metrics that would directly prove the QPU’s commercial usage.

    Rigetti — selling QPUs as well as offering cloud access

    Rigetti has also broadened how it generates revenue in recent years.

    Q2 2026 revenue was $5.10 million (about ¥810 million). The company attributes revenue growth to sales of the nine-qubit Novera quantum computing system and related products.

    Historically Rigetti provided quantum computing through its cloud QCS and via platforms such as Amazon Braket and Microsoft Azure Quantum.

    More recently, however, sales of QPUs and on-premises quantum systems directly to universities, research institutions, and HPC centers have become notable.

    For example, in Q1 2026 Rigetti sold and shipped a Novera QPU to the University of Saskatchewan in Canada. It is also delivering systems to India’s C-DAC and the Pittsburgh Supercomputing Center.

    What customers are buying in these cases is less a service that accelerates existing business processes and more research equipment to study and validate quantum computers themselves.

    More hardware sales will raise revenue, but that should not automatically be interpreted as equivalent to widespread industrial demand for quantum computation.

    Quantinuum — continuous cloud access as a different model

    Quantinuum presents a somewhat different case.

    Q2 2026 revenue was $8.00 million (about ¥1.27 billion), a 279% year-over-year increase.

    Notably, Quantinuum cites cloud business as the primary driver of its revenue growth.

    Unlike hardware sales or government contracts, cloud usage can build recurring revenue as long as customers keep using it. However, increased cloud usage does not necessarily mean those computations are generating economic value in customers’ production workflows — research, evaluation, and algorithm development are included.

    Still, how far a model that sells continued access to quantum compute capacity rather than the machines themselves can scale will be an important indicator of commercialization in the quantum industry.

    The same “revenue” can mean very different things

    Summarizing so far, current quantum-company revenue falls into at least the following categories.

    Type of revenueTypical examplesCharacteristics
    Sales of quantum computer hardwareD-Wave, RigettiSingle sales can be large, but revenue timing is project-dependent
    Cloud compute usageQuantinuum, D-Wave, IonQ, RigettiCan become recurring/stock-like if usage is sustained
    Government and R&D contractsInfleqtion, etc.A major source of demand in today’s quantum industry
    Quantum sensing and communicationsIonQ, InfleqtionMarkets outside quantum computing
    Professional services and joint researchVarious firmsPoCs, algorithm development, deployment support, etc.

    On the books, these are all simply revenue.

    But their implications for the industry’s maturity are quite different.

    For example, if a research institution buys a $20 million (about ¥3.18 billion) quantum computer, the manufacturer records about ¥3.18 billion in revenue.

    However, that does not necessarily mean that

    “the quantum computer was purchased because using it will generate more than ¥3.18 billion in economic value”

    It might have been bought as research equipment.

    It might be for national strategy reasons, to maintain domestic quantum computing capability.

    Or it might be an R&D investment to prepare for the future.

    Conversely, if a company pays monthly for quantum compute services and continuously reduces logistics or production costs as a result, the same revenue figure has a very different meaning.

    “Commercial customer” does not mean “a company using quantum computers in production”

    This point deserves special attention when assessing the current quantum industry.

    Quantum companies often report revenue from “commercial customers” or “commercial revenue.”

    D-Wave said 62.4% of Q2 2026 revenue came from commercial customers. IonQ also reports about 60% commercial revenue.

    From the headline numbers, one might conclude

    “Sixty percent of revenue comes from private companies using quantum computers in production.”

    But reading it that way today is almost certainly misleading.

    “Commercial customer” simply denotes a non-government, non-research institutional customer.

    Such a customer may be:

    • evaluating a quantum computer’s performance
    • running a proof of concept (PoC)
    • conducting joint research
    • developing algorithms to prepare for the future
    • experimentally using quantum computers on the cloud
    • purchasing quantum sensing or communications products rather than quantum compute

    Any of these activities can qualify a firm as a commercial customer.

    That is entirely different from saying a quantum computer is integrated into a company’s daily operational systems and continuously delivering superior economic value over classical methods.

    Current quantum computers still face substantial limitations in performance, error rates, problem size, and cost.

    At present, cases where one can externally verify that quantum computing has demonstrated clear economic advantage over classical computing and that companies are paying recurring fees for that reason are virtually non-existent. Although D-Wave and others have published multiple “production applications,” the degree to which QPUs contribute within quantum-classical hybrid processing or the associated economic superiority over traditional methods has not been made fully transparent.

    Therefore, when companies announce “commercial customers are increasing,”

    it is best not to interpret that as “quantum computers have begun to be commonly used in enterprise production.”

    Having commercial customers is not the same as proving quantum computers’ commercial value.

    Revenue growth is not the same as practical quantum computing

    Quantum companies are already generating revenue.

    But that revenue comprises hardware sales, government contracts, PoCs, joint research, cloud usage, sensing, and communications.

    What quantum companies are earning and whether quantum computers have become a technology that earns money in production are still not the same thing.

    To assess the current state of commercialization, one should look less at headline revenue and more at who is paying, for what, and whether the payments are ongoing.

    Related articles

  • running a proof of concept (PoC)
  • conducting joint research
  • developing algorithms to prepare for the future
  • experimentally using quantum computers on the cloud
  • purchasing quantum sensing or communications products rather than quantum compute
  • Any of these activities can qualify a firm as a commercial customer.

    That is entirely different from saying a quantum computer is integrated into a company’s daily operational systems and continuously delivering superior economic value over classical methods.

    Current quantum computers still face substantial limitations in performance, error rates, problem size, and cost.

    At present, cases where one can externally verify that quantum computing has demonstrated clear economic advantage over classical computing and that companies are paying recurring fees for that reason are virtually non-existent. Although D-Wave and others have published multiple “production applications,” the degree to which QPUs contribute within quantum-classical hybrid processing or the associated economic superiority over traditional methods has not been made fully transparent.

    Therefore, when companies announce “commercial customers are increasing,”

    it is best not to interpret that as “quantum computers have begun to be commonly used in enterprise production.”

    Having commercial customers is not the same as proving quantum computers’ commercial value.

    Revenue growth is not the same as practical quantum computing

    Quantum companies are already generating revenue.

    But that revenue comprises hardware sales, government contracts, PoCs, joint research, cloud usage, sensing, and communications.

    What quantum companies are earning and whether quantum computers have become a technology that earns money in production are still not the same thing.

    To assess the current state of commercialization, one should look less at headline revenue and more at who is paying, for what, and whether the payments are ongoing.

    Related articles

    • evaluating a quantum computer’s performance
    • running a proof of concept (PoC)
    • conducting joint research
    • developing algorithms to prepare for the future
    • experimentally using quantum computers on the cloud
    • purchasing quantum sensing or communications products rather than quantum compute

    Any of these activities can qualify a firm as a commercial customer.

    That is entirely different from saying a quantum computer is integrated into a company’s daily operational systems and continuously delivering superior economic value over classical methods.

    Current quantum computers still face substantial limitations in performance, error rates, problem size, and cost.

    At present, cases where one can externally verify that quantum computing has demonstrated clear economic advantage over classical computing and that companies are paying recurring fees for that reason are virtually non-existent. Although D-Wave and others have published multiple “production applications,” the degree to which QPUs contribute within quantum-classical hybrid processing or the associated economic superiority over traditional methods has not been made fully transparent.

    Therefore, when companies announce “commercial customers are increasing,”

    it is best not to interpret that as “quantum computers have begun to be commonly used in enterprise production.”

    Having commercial customers is not the same as proving quantum computers’ commercial value.

    Revenue growth is not the same as practical quantum computing

    Quantum companies are already generating revenue.

    But that revenue comprises hardware sales, government contracts, PoCs, joint research, cloud usage, sensing, and communications.

    What quantum companies are earning and whether quantum computers have become a technology that earns money in production are still not the same thing.

    To assess the current state of commercialization, one should look less at headline revenue and more at who is paying, for what, and whether the payments are ongoing.

    Related articles

    • evaluating a quantum computer’s performance
    • running a proof of concept (PoC)
    • conducting joint research
    • developing algorithms to prepare for the future
    • experimentally using quantum computers on the cloud
    • purchasing quantum sensing or communications products rather than quantum compute

    Any of these activities can qualify a firm as a commercial customer.

    That is entirely different from saying a quantum computer is integrated into a company’s daily operational systems and continuously delivering superior economic value over classical methods.

    Current quantum computers still face substantial limitations in performance, error rates, problem size, and cost.

    At present, cases where one can externally verify that quantum computing has demonstrated clear economic advantage over classical computing and that companies are paying recurring fees for that reason are virtually non-existent. Although D-Wave and others have published multiple “production applications,” the degree to which QPUs contribute within quantum-classical hybrid processing or the associated economic superiority over traditional methods has not been made fully transparent.

    Therefore, when companies announce “commercial customers are increasing,”

    it is best not to interpret that as “quantum computers have begun to be commonly used in enterprise production.”

    Having commercial customers is not the same as proving quantum computers’ commercial value.

    Revenue growth is not the same as practical quantum computing

    Quantum companies are already generating revenue.

    But that revenue comprises hardware sales, government contracts, PoCs, joint research, cloud usage, sensing, and communications.

    What quantum companies are earning and whether quantum computers have become a technology that earns money in production are still not the same thing.

    To assess the current state of commercialization, one should look less at headline revenue and more at who is paying, for what, and whether the payments are ongoing.

    Related articles

    Quantum companies’ revenues have started to rise.

    In Q2 2026, IonQ reported $80.10 million (about ¥12.7 billion), Infleqtion reported $13.50 million (about ¥2.1 billion), Quantinuum reported $8.00 million (about ¥1.27 billion), Rigetti Computing reported $5.10 million (about ¥810 million), and D-Wave Quantum reported $3.10 million (about ¥490 million) in revenue.

    IonQ grew 287% year over year, Quantinuum 279%, and Infleqtion 157%. Looking at the raw numbers, it can appear that the quantum-computing market is rapidly commercializing and monetizing.

    However, what exactly are quantum companies selling to generate these revenues?

    Is it quantum compute time? Physical hardware? Government R&D contracts? Quantum sensing or communications?

    Tracing the current revenue structures of major quantum firms shows that the phrase “commercialization of the quantum market” often contains very different realities than the commonly imagined ‘‘commercialization of quantum computers’’.

    *Currency conversions are approximate, using an exchange rate of $1 ≈ ¥159 as of August 20, 2026.

    IonQ — the $12.7 billion quarter is not purely “quantum compute fees”

    IonQ stands out in Q2 2026.

    Revenue was $80.10 million (about ¥12.7 billion), roughly four times year-over-year and far above other pure-play quantum companies.

    However, it would be inaccurate to interpret this number as “IonQ’s quantum computers were used for about ¥12.7 billion worth of compute.”

    IonQ is no longer a company that only does quantum computing.

    Through successive acquisitions, the company has expanded into quantum networking, quantum security, sensing, photonics, and space-related technologies.

    For Q2 the company said roughly 25% of revenue came from customers using multiple product categories. About 60% of revenue was classified as “commercial,” but the scope of that commercial business has broadened significantly compared with the past.

    The company attributes revenue growth to Tempo quantum computer deployments and cloud usage, as well as demand across its broader “quantum platform.”

    In other words, IonQ’s current revenue should be viewed as

    quantum computing + quantum networking + security + sensing + other quantum-related businesses

    combined.

    While revenue is clearly growing rapidly, that growth alone no longer lets you infer the commercial demand for quantum computers themselves.

    Infleqtion — all quantum, but government contracts remain central

    Infleqtion is also interesting.

    Q2 2026 revenue was $13.50 million (about ¥2.1 billion), a 157% year-over-year increase. The company emphasized that this revenue was “100% organic and entirely from quantum.”

    Unlike IonQ, its growth is not being boosted by acquired non-quantum businesses.

    But “entirely quantum” is not the same as “revenue from commercial use of quantum computers.”

    Infleqtion develops the neutral-atom quantum computer “Sqale,” but it also has significant business lines in atomic clocks and quantum sensing.

    Moreover, government contracts play a large role in the company’s revenue. For example, Infleqtion has a $20 million (about ¥3.18 billion) contract with NASA to develop a spaceborne quantum gravity gradiometer. In Q1 2026 that NASA contract alone increased year-over-year revenue by about $4.0 million (about ¥640 million). The company has also derived revenue from the U.S. Department of Defense, the U.S. Army, the European Space Agency, and Japanese government projects.

    Infleqtion’s revenue is certainly “quantum,” but it includes

    quantum computing, quantum sensing, atomic clocks, and government R&D

    all together.

    Again, revenue from a quantum company should be distinguished from revenue specifically generated by commercial use of quantum computers.

    D-Wave — selling a single machine can change the financials

    D-Wave is one of the clearest examples of the current market structure.

    Q2 2026 revenue was $3.10 million (about ¥490 million), roughly flat year-over-year.

    However, first-half 2025 revenue was $18.10 million (about ¥2.88 billion), while first-half 2026 revenue was $5.90 million (about ¥940 million) — a 67% decline.

    The reason is simple: in the first half of 2025 D-Wave recorded a $13.70 million (about ¥2.18 billion) sale of a quantum computer. Selling one large quantum machine can materially swing annual or quarterly revenue for today’s quantum companies.

    D-Wave also offers a cloud service, Leap, as Quantum Computing as a Service (QCaaS).

    Of Leap’s QCaaS revenue in H1 2026, $1.30 million (about ¥210 million) was classified by D-Wave as revenue from “production applications,” representing 37.3% of total QCaaS revenue. In the prior-year period that figure was $0.30 million (about ¥48 million), or 9.8%.

    On the surface, those numbers suggest that production use of quantum computers is expanding. But this interpretation requires caution.

    Leap provides both direct QPU access and quantum-classical hybrid solvers. The internal workings of the latter are a black box to users: external observers cannot verify whether a QPU was actually used for a given calculation, or to what extent a QPU contributed to the result.

    What these figures do indicate is that D-Wave’s optimization services classified as “production” are being used. They do not definitively quantify the commercial value of the QPU itself.

    D-Wave’s current revenue model combines

    hardware sales + cloud usage + professional services

    with multiple models coexisting.

    Particularly, QCaaS “production” revenue should be read separately from metrics that would directly prove the QPU’s commercial usage.

    Rigetti — selling QPUs as well as offering cloud access

    Rigetti has also broadened how it generates revenue in recent years.

    Q2 2026 revenue was $5.10 million (about ¥810 million). The company attributes revenue growth to sales of the nine-qubit Novera quantum computing system and related products.

    Historically Rigetti provided quantum computing through its cloud QCS and via platforms such as Amazon Braket and Microsoft Azure Quantum.

    More recently, however, sales of QPUs and on-premises quantum systems directly to universities, research institutions, and HPC centers have become notable.

    For example, in Q1 2026 Rigetti sold and shipped a Novera QPU to the University of Saskatchewan in Canada. It is also delivering systems to India’s C-DAC and the Pittsburgh Supercomputing Center.

    What customers are buying in these cases is less a service that accelerates existing business processes and more research equipment to study and validate quantum computers themselves.

    More hardware sales will raise revenue, but that should not automatically be interpreted as equivalent to widespread industrial demand for quantum computation.

    Quantinuum — continuous cloud access as a different model

    Quantinuum presents a somewhat different case.

    Q2 2026 revenue was $8.00 million (about ¥1.27 billion), a 279% year-over-year increase.

    Notably, Quantinuum cites cloud business as the primary driver of its revenue growth.

    Unlike hardware sales or government contracts, cloud usage can build recurring revenue as long as customers keep using it. However, increased cloud usage does not necessarily mean those computations are generating economic value in customers’ production workflows — research, evaluation, and algorithm development are included.

    Still, how far a model that sells continued access to quantum compute capacity rather than the machines themselves can scale will be an important indicator of commercialization in the quantum industry.

    The same “revenue” can mean very different things

    Summarizing so far, current quantum-company revenue falls into at least the following categories.

    Type of revenueTypical examplesCharacteristics
    Sales of quantum computer hardwareD-Wave, RigettiSingle sales can be large, but revenue timing is project-dependent
    Cloud compute usageQuantinuum, D-Wave, IonQ, RigettiCan become recurring/stock-like if usage is sustained
    Government and R&D contractsInfleqtion, etc.A major source of demand in today’s quantum industry
    Quantum sensing and communicationsIonQ, InfleqtionMarkets outside quantum computing
    Professional services and joint researchVarious firmsPoCs, algorithm development, deployment support, etc.

    On the books, these are all simply revenue.

    But their implications for the industry’s maturity are quite different.

    For example, if a research institution buys a $20 million (about ¥3.18 billion) quantum computer, the manufacturer records about ¥3.18 billion in revenue.

    However, that does not necessarily mean that

    “the quantum computer was purchased because using it will generate more than ¥3.18 billion in economic value”

    It might have been bought as research equipment.

    It might be for national strategy reasons, to maintain domestic quantum computing capability.

    Or it might be an R&D investment to prepare for the future.

    Conversely, if a company pays monthly for quantum compute services and continuously reduces logistics or production costs as a result, the same revenue figure has a very different meaning.

    “Commercial customer” does not mean “a company using quantum computers in production”

    This point deserves special attention when assessing the current quantum industry.

    Quantum companies often report revenue from “commercial customers” or “commercial revenue.”

    D-Wave said 62.4% of Q2 2026 revenue came from commercial customers. IonQ also reports about 60% commercial revenue.

    From the headline numbers, one might conclude

    “Sixty percent of revenue comes from private companies using quantum computers in production.”

    But reading it that way today is almost certainly misleading.

    “Commercial customer” simply denotes a non-government, non-research institutional customer.

    Such a customer may be:

    • evaluating a quantum computer’s performance
    • running a proof of concept (PoC)
    • conducting joint research
    • developing algorithms to prepare for the future
    • experimentally using quantum computers on the cloud
    • purchasing quantum sensing or communications products rather than quantum compute

    Any of these activities can qualify a firm as a commercial customer.

    That is entirely different from saying a quantum computer is integrated into a company’s daily operational systems and continuously delivering superior economic value over classical methods.

    Current quantum computers still face substantial limitations in performance, error rates, problem size, and cost.

    At present, cases where one can externally verify that quantum computing has demonstrated clear economic advantage over classical computing and that companies are paying recurring fees for that reason are virtually non-existent. Although D-Wave and others have published multiple “production applications,” the degree to which QPUs contribute within quantum-classical hybrid processing or the associated economic superiority over traditional methods has not been made fully transparent.

    Therefore, when companies announce “commercial customers are increasing,”

    it is best not to interpret that as “quantum computers have begun to be commonly used in enterprise production.”

    Having commercial customers is not the same as proving quantum computers’ commercial value.

    Revenue growth is not the same as practical quantum computing

    Quantum companies are already generating revenue.

    But that revenue comprises hardware sales, government contracts, PoCs, joint research, cloud usage, sensing, and communications.

    What quantum companies are earning and whether quantum computers have become a technology that earns money in production are still not the same thing.

    To assess the current state of commercialization, one should look less at headline revenue and more at who is paying, for what, and whether the payments are ongoing.

    Related articles

  • evaluating a quantum computer’s performance
  • running a proof of concept (PoC)
  • conducting joint research
  • developing algorithms to prepare for the future
  • experimentally using quantum computers on the cloud
  • purchasing quantum sensing or communications products rather than quantum compute
  • Any of these activities can qualify a firm as a commercial customer.

    That is entirely different from saying a quantum computer is integrated into a company’s daily operational systems and continuously delivering superior economic value over classical methods.

    Current quantum computers still face substantial limitations in performance, error rates, problem size, and cost.

    At present, cases where one can externally verify that quantum computing has demonstrated clear economic advantage over classical computing and that companies are paying recurring fees for that reason are virtually non-existent. Although D-Wave and others have published multiple “production applications,” the degree to which QPUs contribute within quantum-classical hybrid processing or the associated economic superiority over traditional methods has not been made fully transparent.

    Therefore, when companies announce “commercial customers are increasing,”

    it is best not to interpret that as “quantum computers have begun to be commonly used in enterprise production.”

    Having commercial customers is not the same as proving quantum computers’ commercial value.

    Revenue growth is not the same as practical quantum computing

    Quantum companies are already generating revenue.

    But that revenue comprises hardware sales, government contracts, PoCs, joint research, cloud usage, sensing, and communications.

    What quantum companies are earning and whether quantum computers have become a technology that earns money in production are still not the same thing.

    To assess the current state of commercialization, one should look less at headline revenue and more at who is paying, for what, and whether the payments are ongoing.

    Related articles

    • evaluating a quantum computer’s performance
    • running a proof of concept (PoC)
    • conducting joint research
    • developing algorithms to prepare for the future
    • experimentally using quantum computers on the cloud
    • purchasing quantum sensing or communications products rather than quantum compute

    Any of these activities can qualify a firm as a commercial customer.

    That is entirely different from saying a quantum computer is integrated into a company’s daily operational systems and continuously delivering superior economic value over classical methods.

    Current quantum computers still face substantial limitations in performance, error rates, problem size, and cost.

    At present, cases where one can externally verify that quantum computing has demonstrated clear economic advantage over classical computing and that companies are paying recurring fees for that reason are virtually non-existent. Although D-Wave and others have published multiple “production applications,” the degree to which QPUs contribute within quantum-classical hybrid processing or the associated economic superiority over traditional methods has not been made fully transparent.

    Therefore, when companies announce “commercial customers are increasing,”

    it is best not to interpret that as “quantum computers have begun to be commonly used in enterprise production.”

    Having commercial customers is not the same as proving quantum computers’ commercial value.

    Revenue growth is not the same as practical quantum computing

    Quantum companies are already generating revenue.

    But that revenue comprises hardware sales, government contracts, PoCs, joint research, cloud usage, sensing, and communications.

    What quantum companies are earning and whether quantum computers have become a technology that earns money in production are still not the same thing.

    To assess the current state of commercialization, one should look less at headline revenue and more at who is paying, for what, and whether the payments are ongoing.

    Related articles

    • evaluating a quantum computer’s performance
    • running a proof of concept (PoC)
    • conducting joint research
    • developing algorithms to prepare for the future
    • experimentally using quantum computers on the cloud
    • purchasing quantum sensing or communications products rather than quantum compute

    Any of these activities can qualify a firm as a commercial customer.

    That is entirely different from saying a quantum computer is integrated into a company’s daily operational systems and continuously delivering superior economic value over classical methods.

    Current quantum computers still face substantial limitations in performance, error rates, problem size, and cost.

    At present, cases where one can externally verify that quantum computing has demonstrated clear economic advantage over classical computing and that companies are paying recurring fees for that reason are virtually non-existent. Although D-Wave and others have published multiple “production applications,” the degree to which QPUs contribute within quantum-classical hybrid processing or the associated economic superiority over traditional methods has not been made fully transparent.

    Therefore, when companies announce “commercial customers are increasing,”

    it is best not to interpret that as “quantum computers have begun to be commonly used in enterprise production.”

    Having commercial customers is not the same as proving quantum computers’ commercial value.

    Revenue growth is not the same as practical quantum computing

    Quantum companies are already generating revenue.

    But that revenue comprises hardware sales, government contracts, PoCs, joint research, cloud usage, sensing, and communications.

    What quantum companies are earning and whether quantum computers have become a technology that earns money in production are still not the same thing.

    To assess the current state of commercialization, one should look less at headline revenue and more at who is paying, for what, and whether the payments are ongoing.

    Related articles

    Quantum companies’ revenues have started to rise.

    In Q2 2026, IonQ reported $80.10 million (about ¥12.7 billion), Infleqtion reported $13.50 million (about ¥2.1 billion), Quantinuum reported $8.00 million (about ¥1.27 billion), Rigetti Computing reported $5.10 million (about ¥810 million), and D-Wave Quantum reported $3.10 million (about ¥490 million) in revenue.

    IonQ grew 287% year over year, Quantinuum 279%, and Infleqtion 157%. Looking at the raw numbers, it can appear that the quantum-computing market is rapidly commercializing and monetizing.

    However, what exactly are quantum companies selling to generate these revenues?

    Is it quantum compute time? Physical hardware? Government R&D contracts? Quantum sensing or communications?

    Tracing the current revenue structures of major quantum firms shows that the phrase “commercialization of the quantum market” often contains very different realities than the commonly imagined ‘‘commercialization of quantum computers’’.

    *Currency conversions are approximate, using an exchange rate of $1 ≈ ¥159 as of August 20, 2026.

    IonQ — the $12.7 billion quarter is not purely “quantum compute fees”

    IonQ stands out in Q2 2026.

    Revenue was $80.10 million (about ¥12.7 billion), roughly four times year-over-year and far above other pure-play quantum companies.

    However, it would be inaccurate to interpret this number as “IonQ’s quantum computers were used for about ¥12.7 billion worth of compute.”

    IonQ is no longer a company that only does quantum computing.

    Through successive acquisitions, the company has expanded into quantum networking, quantum security, sensing, photonics, and space-related technologies.

    For Q2 the company said roughly 25% of revenue came from customers using multiple product categories. About 60% of revenue was classified as “commercial,” but the scope of that commercial business has broadened significantly compared with the past.

    The company attributes revenue growth to Tempo quantum computer deployments and cloud usage, as well as demand across its broader “quantum platform.”

    In other words, IonQ’s current revenue should be viewed as

    quantum computing + quantum networking + security + sensing + other quantum-related businesses

    combined.

    While revenue is clearly growing rapidly, that growth alone no longer lets you infer the commercial demand for quantum computers themselves.

    Infleqtion — all quantum, but government contracts remain central

    Infleqtion is also interesting.

    Q2 2026 revenue was $13.50 million (about ¥2.1 billion), a 157% year-over-year increase. The company emphasized that this revenue was “100% organic and entirely from quantum.”

    Unlike IonQ, its growth is not being boosted by acquired non-quantum businesses.

    But “entirely quantum” is not the same as “revenue from commercial use of quantum computers.”

    Infleqtion develops the neutral-atom quantum computer “Sqale,” but it also has significant business lines in atomic clocks and quantum sensing.

    Moreover, government contracts play a large role in the company’s revenue. For example, Infleqtion has a $20 million (about ¥3.18 billion) contract with NASA to develop a spaceborne quantum gravity gradiometer. In Q1 2026 that NASA contract alone increased year-over-year revenue by about $4.0 million (about ¥640 million). The company has also derived revenue from the U.S. Department of Defense, the U.S. Army, the European Space Agency, and Japanese government projects.

    Infleqtion’s revenue is certainly “quantum,” but it includes

    quantum computing, quantum sensing, atomic clocks, and government R&D

    all together.

    Again, revenue from a quantum company should be distinguished from revenue specifically generated by commercial use of quantum computers.

    D-Wave — selling a single machine can change the financials

    D-Wave is one of the clearest examples of the current market structure.

    Q2 2026 revenue was $3.10 million (about ¥490 million), roughly flat year-over-year.

    However, first-half 2025 revenue was $18.10 million (about ¥2.88 billion), while first-half 2026 revenue was $5.90 million (about ¥940 million) — a 67% decline.

    The reason is simple: in the first half of 2025 D-Wave recorded a $13.70 million (about ¥2.18 billion) sale of a quantum computer. Selling one large quantum machine can materially swing annual or quarterly revenue for today’s quantum companies.

    D-Wave also offers a cloud service, Leap, as Quantum Computing as a Service (QCaaS).

    Of Leap’s QCaaS revenue in H1 2026, $1.30 million (about ¥210 million) was classified by D-Wave as revenue from “production applications,” representing 37.3% of total QCaaS revenue. In the prior-year period that figure was $0.30 million (about ¥48 million), or 9.8%.

    On the surface, those numbers suggest that production use of quantum computers is expanding. But this interpretation requires caution.

    Leap provides both direct QPU access and quantum-classical hybrid solvers. The internal workings of the latter are a black box to users: external observers cannot verify whether a QPU was actually used for a given calculation, or to what extent a QPU contributed to the result.

    What these figures do indicate is that D-Wave’s optimization services classified as “production” are being used. They do not definitively quantify the commercial value of the QPU itself.

    D-Wave’s current revenue model combines

    hardware sales + cloud usage + professional services

    with multiple models coexisting.

    Particularly, QCaaS “production” revenue should be read separately from metrics that would directly prove the QPU’s commercial usage.

    Rigetti — selling QPUs as well as offering cloud access

    Rigetti has also broadened how it generates revenue in recent years.

    Q2 2026 revenue was $5.10 million (about ¥810 million). The company attributes revenue growth to sales of the nine-qubit Novera quantum computing system and related products.

    Historically Rigetti provided quantum computing through its cloud QCS and via platforms such as Amazon Braket and Microsoft Azure Quantum.

    More recently, however, sales of QPUs and on-premises quantum systems directly to universities, research institutions, and HPC centers have become notable.

    For example, in Q1 2026 Rigetti sold and shipped a Novera QPU to the University of Saskatchewan in Canada. It is also delivering systems to India’s C-DAC and the Pittsburgh Supercomputing Center.

    What customers are buying in these cases is less a service that accelerates existing business processes and more research equipment to study and validate quantum computers themselves.

    More hardware sales will raise revenue, but that should not automatically be interpreted as equivalent to widespread industrial demand for quantum computation.

    Quantinuum — continuous cloud access as a different model

    Quantinuum presents a somewhat different case.

    Q2 2026 revenue was $8.00 million (about ¥1.27 billion), a 279% year-over-year increase.

    Notably, Quantinuum cites cloud business as the primary driver of its revenue growth.

    Unlike hardware sales or government contracts, cloud usage can build recurring revenue as long as customers keep using it. However, increased cloud usage does not necessarily mean those computations are generating economic value in customers’ production workflows — research, evaluation, and algorithm development are included.

    Still, how far a model that sells continued access to quantum compute capacity rather than the machines themselves can scale will be an important indicator of commercialization in the quantum industry.

    The same “revenue” can mean very different things

    Summarizing so far, current quantum-company revenue falls into at least the following categories.

    Type of revenueTypical examplesCharacteristics
    Sales of quantum computer hardwareD-Wave, RigettiSingle sales can be large, but revenue timing is project-dependent
    Cloud compute usageQuantinuum, D-Wave, IonQ, RigettiCan become recurring/stock-like if usage is sustained
    Government and R&D contractsInfleqtion, etc.A major source of demand in today’s quantum industry
    Quantum sensing and communicationsIonQ, InfleqtionMarkets outside quantum computing
    Professional services and joint researchVarious firmsPoCs, algorithm development, deployment support, etc.

    On the books, these are all simply revenue.

    But their implications for the industry’s maturity are quite different.

    For example, if a research institution buys a $20 million (about ¥3.18 billion) quantum computer, the manufacturer records about ¥3.18 billion in revenue.

    However, that does not necessarily mean that

    “the quantum computer was purchased because using it will generate more than ¥3.18 billion in economic value”

    It might have been bought as research equipment.

    It might be for national strategy reasons, to maintain domestic quantum computing capability.

    Or it might be an R&D investment to prepare for the future.

    Conversely, if a company pays monthly for quantum compute services and continuously reduces logistics or production costs as a result, the same revenue figure has a very different meaning.

    “Commercial customer” does not mean “a company using quantum computers in production”

    This point deserves special attention when assessing the current quantum industry.

    Quantum companies often report revenue from “commercial customers” or “commercial revenue.”

    D-Wave said 62.4% of Q2 2026 revenue came from commercial customers. IonQ also reports about 60% commercial revenue.

    From the headline numbers, one might conclude

    “Sixty percent of revenue comes from private companies using quantum computers in production.”

    But reading it that way today is almost certainly misleading.

    “Commercial customer” simply denotes a non-government, non-research institutional customer.

    Such a customer may be:

    • evaluating a quantum computer’s performance
    • running a proof of concept (PoC)
    • conducting joint research
    • developing algorithms to prepare for the future
    • experimentally using quantum computers on the cloud
    • purchasing quantum sensing or communications products rather than quantum compute

    Any of these activities can qualify a firm as a commercial customer.

    That is entirely different from saying a quantum computer is integrated into a company’s daily operational systems and continuously delivering superior economic value over classical methods.

    Current quantum computers still face substantial limitations in performance, error rates, problem size, and cost.

    At present, cases where one can externally verify that quantum computing has demonstrated clear economic advantage over classical computing and that companies are paying recurring fees for that reason are virtually non-existent. Although D-Wave and others have published multiple “production applications,” the degree to which QPUs contribute within quantum-classical hybrid processing or the associated economic superiority over traditional methods has not been made fully transparent.

    Therefore, when companies announce “commercial customers are increasing,”

    it is best not to interpret that as “quantum computers have begun to be commonly used in enterprise production.”

    Having commercial customers is not the same as proving quantum computers’ commercial value.

    Revenue growth is not the same as practical quantum computing

    Quantum companies are already generating revenue.

    But that revenue comprises hardware sales, government contracts, PoCs, joint research, cloud usage, sensing, and communications.

    What quantum companies are earning and whether quantum computers have become a technology that earns money in production are still not the same thing.

    To assess the current state of commercialization, one should look less at headline revenue and more at who is paying, for what, and whether the payments are ongoing.

    Related articles

  • IonQ, Q2 2026 revenue up 287% year over year; raises full-year guidance
  • Infleqtion corrects Q2 2026 revenue to $13.5M; raises full-year outlook
  • Quantinuum Q2 2026 revenue up 279% year over year; announces Helios logical fidelity
  • Rigetti Q2 2026 revenue $5.1M; publishes performance of 108-qubit machine
  • D-Wave Q2 2026 revenue $3.1M; first-half bookings increased more than twelvefold
  • evaluating a quantum computer’s performance
  • running a proof of concept (PoC)
  • conducting joint research
  • developing algorithms to prepare for the future
  • experimentally using quantum computers on the cloud
  • purchasing quantum sensing or communications products rather than quantum compute
  • Any of these activities can qualify a firm as a commercial customer.

    That is entirely different from saying a quantum computer is integrated into a company’s daily operational systems and continuously delivering superior economic value over classical methods.

    Current quantum computers still face substantial limitations in performance, error rates, problem size, and cost.

    At present, cases where one can externally verify that quantum computing has demonstrated clear economic advantage over classical computing and that companies are paying recurring fees for that reason are virtually non-existent. Although D-Wave and others have published multiple “production applications,” the degree to which QPUs contribute within quantum-classical hybrid processing or the associated economic superiority over traditional methods has not been made fully transparent.

    Therefore, when companies announce “commercial customers are increasing,”

    it is best not to interpret that as “quantum computers have begun to be commonly used in enterprise production.”

    Having commercial customers is not the same as proving quantum computers’ commercial value.

    Revenue growth is not the same as practical quantum computing

    Quantum companies are already generating revenue.

    But that revenue comprises hardware sales, government contracts, PoCs, joint research, cloud usage, sensing, and communications.

    What quantum companies are earning and whether quantum computers have become a technology that earns money in production are still not the same thing.

    To assess the current state of commercialization, one should look less at headline revenue and more at who is paying, for what, and whether the payments are ongoing.

    Related articles

    • evaluating a quantum computer’s performance
    • running a proof of concept (PoC)
    • conducting joint research
    • developing algorithms to prepare for the future
    • experimentally using quantum computers on the cloud
    • purchasing quantum sensing or communications products rather than quantum compute

    Any of these activities can qualify a firm as a commercial customer.

    That is entirely different from saying a quantum computer is integrated into a company’s daily operational systems and continuously delivering superior economic value over classical methods.

    Current quantum computers still face substantial limitations in performance, error rates, problem size, and cost.

    At present, cases where one can externally verify that quantum computing has demonstrated clear economic advantage over classical computing and that companies are paying recurring fees for that reason are virtually non-existent. Although D-Wave and others have published multiple “production applications,” the degree to which QPUs contribute within quantum-classical hybrid processing or the associated economic superiority over traditional methods has not been made fully transparent.

    Therefore, when companies announce “commercial customers are increasing,”

    it is best not to interpret that as “quantum computers have begun to be commonly used in enterprise production.”

    Having commercial customers is not the same as proving quantum computers’ commercial value.

    Revenue growth is not the same as practical quantum computing

    Quantum companies are already generating revenue.

    But that revenue comprises hardware sales, government contracts, PoCs, joint research, cloud usage, sensing, and communications.

    What quantum companies are earning and whether quantum computers have become a technology that earns money in production are still not the same thing.

    To assess the current state of commercialization, one should look less at headline revenue and more at who is paying, for what, and whether the payments are ongoing.

    Related articles

    • evaluating a quantum computer’s performance
    • running a proof of concept (PoC)
    • conducting joint research
    • developing algorithms to prepare for the future
    • experimentally using quantum computers on the cloud
    • purchasing quantum sensing or communications products rather than quantum compute

    Any of these activities can qualify a firm as a commercial customer.

    That is entirely different from saying a quantum computer is integrated into a company’s daily operational systems and continuously delivering superior economic value over classical methods.

    Current quantum computers still face substantial limitations in performance, error rates, problem size, and cost.

    At present, cases where one can externally verify that quantum computing has demonstrated clear economic advantage over classical computing and that companies are paying recurring fees for that reason are virtually non-existent. Although D-Wave and others have published multiple “production applications,” the degree to which QPUs contribute within quantum-classical hybrid processing or the associated economic superiority over traditional methods has not been made fully transparent.

    Therefore, when companies announce “commercial customers are increasing,”

    it is best not to interpret that as “quantum computers have begun to be commonly used in enterprise production.”

    Having commercial customers is not the same as proving quantum computers’ commercial value.

    Revenue growth is not the same as practical quantum computing

    Quantum companies are already generating revenue.

    But that revenue comprises hardware sales, government contracts, PoCs, joint research, cloud usage, sensing, and communications.

    What quantum companies are earning and whether quantum computers have become a technology that earns money in production are still not the same thing.

    To assess the current state of commercialization, one should look less at headline revenue and more at who is paying, for what, and whether the payments are ongoing.

    Related articles

    Quantum companies’ revenues have started to rise.

    In Q2 2026, IonQ reported $80.10 million (about ¥12.7 billion), Infleqtion reported $13.50 million (about ¥2.1 billion), Quantinuum reported $8.00 million (about ¥1.27 billion), Rigetti Computing reported $5.10 million (about ¥810 million), and D-Wave Quantum reported $3.10 million (about ¥490 million) in revenue.

    IonQ grew 287% year over year, Quantinuum 279%, and Infleqtion 157%. Looking at the raw numbers, it can appear that the quantum-computing market is rapidly commercializing and monetizing.

    However, what exactly are quantum companies selling to generate these revenues?

    Is it quantum compute time? Physical hardware? Government R&D contracts? Quantum sensing or communications?

    Tracing the current revenue structures of major quantum firms shows that the phrase “commercialization of the quantum market” often contains very different realities than the commonly imagined ‘‘commercialization of quantum computers’’.

    *Currency conversions are approximate, using an exchange rate of $1 ≈ ¥159 as of August 20, 2026.

    IonQ — the $12.7 billion quarter is not purely “quantum compute fees”

    IonQ stands out in Q2 2026.

    Revenue was $80.10 million (about ¥12.7 billion), roughly four times year-over-year and far above other pure-play quantum companies.

    However, it would be inaccurate to interpret this number as “IonQ’s quantum computers were used for about ¥12.7 billion worth of compute.”

    IonQ is no longer a company that only does quantum computing.

    Through successive acquisitions, the company has expanded into quantum networking, quantum security, sensing, photonics, and space-related technologies.

    For Q2 the company said roughly 25% of revenue came from customers using multiple product categories. About 60% of revenue was classified as “commercial,” but the scope of that commercial business has broadened significantly compared with the past.

    The company attributes revenue growth to Tempo quantum computer deployments and cloud usage, as well as demand across its broader “quantum platform.”

    In other words, IonQ’s current revenue should be viewed as

    quantum computing + quantum networking + security + sensing + other quantum-related businesses

    combined.

    While revenue is clearly growing rapidly, that growth alone no longer lets you infer the commercial demand for quantum computers themselves.

    Infleqtion — all quantum, but government contracts remain central

    Infleqtion is also interesting.

    Q2 2026 revenue was $13.50 million (about ¥2.1 billion), a 157% year-over-year increase. The company emphasized that this revenue was “100% organic and entirely from quantum.”

    Unlike IonQ, its growth is not being boosted by acquired non-quantum businesses.

    But “entirely quantum” is not the same as “revenue from commercial use of quantum computers.”

    Infleqtion develops the neutral-atom quantum computer “Sqale,” but it also has significant business lines in atomic clocks and quantum sensing.

    Moreover, government contracts play a large role in the company’s revenue. For example, Infleqtion has a $20 million (about ¥3.18 billion) contract with NASA to develop a spaceborne quantum gravity gradiometer. In Q1 2026 that NASA contract alone increased year-over-year revenue by about $4.0 million (about ¥640 million). The company has also derived revenue from the U.S. Department of Defense, the U.S. Army, the European Space Agency, and Japanese government projects.

    Infleqtion’s revenue is certainly “quantum,” but it includes

    quantum computing, quantum sensing, atomic clocks, and government R&D

    all together.

    Again, revenue from a quantum company should be distinguished from revenue specifically generated by commercial use of quantum computers.

    D-Wave — selling a single machine can change the financials

    D-Wave is one of the clearest examples of the current market structure.

    Q2 2026 revenue was $3.10 million (about ¥490 million), roughly flat year-over-year.

    However, first-half 2025 revenue was $18.10 million (about ¥2.88 billion), while first-half 2026 revenue was $5.90 million (about ¥940 million) — a 67% decline.

    The reason is simple: in the first half of 2025 D-Wave recorded a $13.70 million (about ¥2.18 billion) sale of a quantum computer. Selling one large quantum machine can materially swing annual or quarterly revenue for today’s quantum companies.

    D-Wave also offers a cloud service, Leap, as Quantum Computing as a Service (QCaaS).

    Of Leap’s QCaaS revenue in H1 2026, $1.30 million (about ¥210 million) was classified by D-Wave as revenue from “production applications,” representing 37.3% of total QCaaS revenue. In the prior-year period that figure was $0.30 million (about ¥48 million), or 9.8%.

    On the surface, those numbers suggest that production use of quantum computers is expanding. But this interpretation requires caution.

    Leap provides both direct QPU access and quantum-classical hybrid solvers. The internal workings of the latter are a black box to users: external observers cannot verify whether a QPU was actually used for a given calculation, or to what extent a QPU contributed to the result.

    What these figures do indicate is that D-Wave’s optimization services classified as “production” are being used. They do not definitively quantify the commercial value of the QPU itself.

    D-Wave’s current revenue model combines

    hardware sales + cloud usage + professional services

    with multiple models coexisting.

    Particularly, QCaaS “production” revenue should be read separately from metrics that would directly prove the QPU’s commercial usage.

    Rigetti — selling QPUs as well as offering cloud access

    Rigetti has also broadened how it generates revenue in recent years.

    Q2 2026 revenue was $5.10 million (about ¥810 million). The company attributes revenue growth to sales of the nine-qubit Novera quantum computing system and related products.

    Historically Rigetti provided quantum computing through its cloud QCS and via platforms such as Amazon Braket and Microsoft Azure Quantum.

    More recently, however, sales of QPUs and on-premises quantum systems directly to universities, research institutions, and HPC centers have become notable.

    For example, in Q1 2026 Rigetti sold and shipped a Novera QPU to the University of Saskatchewan in Canada. It is also delivering systems to India’s C-DAC and the Pittsburgh Supercomputing Center.

    What customers are buying in these cases is less a service that accelerates existing business processes and more research equipment to study and validate quantum computers themselves.

    More hardware sales will raise revenue, but that should not automatically be interpreted as equivalent to widespread industrial demand for quantum computation.

    Quantinuum — continuous cloud access as a different model

    Quantinuum presents a somewhat different case.

    Q2 2026 revenue was $8.00 million (about ¥1.27 billion), a 279% year-over-year increase.

    Notably, Quantinuum cites cloud business as the primary driver of its revenue growth.

    Unlike hardware sales or government contracts, cloud usage can build recurring revenue as long as customers keep using it. However, increased cloud usage does not necessarily mean those computations are generating economic value in customers’ production workflows — research, evaluation, and algorithm development are included.

    Still, how far a model that sells continued access to quantum compute capacity rather than the machines themselves can scale will be an important indicator of commercialization in the quantum industry.

    The same “revenue” can mean very different things

    Summarizing so far, current quantum-company revenue falls into at least the following categories.

    Type of revenueTypical examplesCharacteristics
    Sales of quantum computer hardwareD-Wave, RigettiSingle sales can be large, but revenue timing is project-dependent
    Cloud compute usageQuantinuum, D-Wave, IonQ, RigettiCan become recurring/stock-like if usage is sustained
    Government and R&D contractsInfleqtion, etc.A major source of demand in today’s quantum industry
    Quantum sensing and communicationsIonQ, InfleqtionMarkets outside quantum computing
    Professional services and joint researchVarious firmsPoCs, algorithm development, deployment support, etc.

    On the books, these are all simply revenue.

    But their implications for the industry’s maturity are quite different.

    For example, if a research institution buys a $20 million (about ¥3.18 billion) quantum computer, the manufacturer records about ¥3.18 billion in revenue.

    However, that does not necessarily mean that

    “the quantum computer was purchased because using it will generate more than ¥3.18 billion in economic value”

    It might have been bought as research equipment.

    It might be for national strategy reasons, to maintain domestic quantum computing capability.

    Or it might be an R&D investment to prepare for the future.

    Conversely, if a company pays monthly for quantum compute services and continuously reduces logistics or production costs as a result, the same revenue figure has a very different meaning.

    “Commercial customer” does not mean “a company using quantum computers in production”

    This point deserves special attention when assessing the current quantum industry.

    Quantum companies often report revenue from “commercial customers” or “commercial revenue.”

    D-Wave said 62.4% of Q2 2026 revenue came from commercial customers. IonQ also reports about 60% commercial revenue.

    From the headline numbers, one might conclude

    “Sixty percent of revenue comes from private companies using quantum computers in production.”

    But reading it that way today is almost certainly misleading.

    “Commercial customer” simply denotes a non-government, non-research institutional customer.

    Such a customer may be:

    • evaluating a quantum computer’s performance
    • running a proof of concept (PoC)
    • conducting joint research
    • developing algorithms to prepare for the future
    • experimentally using quantum computers on the cloud
    • purchasing quantum sensing or communications products rather than quantum compute

    Any of these activities can qualify a firm as a commercial customer.

    That is entirely different from saying a quantum computer is integrated into a company’s daily operational systems and continuously delivering superior economic value over classical methods.

    Current quantum computers still face substantial limitations in performance, error rates, problem size, and cost.

    At present, cases where one can externally verify that quantum computing has demonstrated clear economic advantage over classical computing and that companies are paying recurring fees for that reason are virtually non-existent. Although D-Wave and others have published multiple “production applications,” the degree to which QPUs contribute within quantum-classical hybrid processing or the associated economic superiority over traditional methods has not been made fully transparent.

    Therefore, when companies announce “commercial customers are increasing,”

    it is best not to interpret that as “quantum computers have begun to be commonly used in enterprise production.”

    Having commercial customers is not the same as proving quantum computers’ commercial value.

    Revenue growth is not the same as practical quantum computing

    Quantum companies are already generating revenue.

    But that revenue comprises hardware sales, government contracts, PoCs, joint research, cloud usage, sensing, and communications.

    What quantum companies are earning and whether quantum computers have become a technology that earns money in production are still not the same thing.

    To assess the current state of commercialization, one should look less at headline revenue and more at who is paying, for what, and whether the payments are ongoing.

    Related articles

  • evaluating a quantum computer’s performance
  • running a proof of concept (PoC)
  • conducting joint research
  • developing algorithms to prepare for the future
  • experimentally using quantum computers on the cloud
  • purchasing quantum sensing or communications products rather than quantum compute
  • Any of these activities can qualify a firm as a commercial customer.

    That is entirely different from saying a quantum computer is integrated into a company’s daily operational systems and continuously delivering superior economic value over classical methods.

    Current quantum computers still face substantial limitations in performance, error rates, problem size, and cost.

    At present, cases where one can externally verify that quantum computing has demonstrated clear economic advantage over classical computing and that companies are paying recurring fees for that reason are virtually non-existent. Although D-Wave and others have published multiple “production applications,” the degree to which QPUs contribute within quantum-classical hybrid processing or the associated economic superiority over traditional methods has not been made fully transparent.

    Therefore, when companies announce “commercial customers are increasing,”

    it is best not to interpret that as “quantum computers have begun to be commonly used in enterprise production.”

    Having commercial customers is not the same as proving quantum computers’ commercial value.

    Revenue growth is not the same as practical quantum computing

    Quantum companies are already generating revenue.

    But that revenue comprises hardware sales, government contracts, PoCs, joint research, cloud usage, sensing, and communications.

    What quantum companies are earning and whether quantum computers have become a technology that earns money in production are still not the same thing.

    To assess the current state of commercialization, one should look less at headline revenue and more at who is paying, for what, and whether the payments are ongoing.

    Related articles

    • evaluating a quantum computer’s performance
    • running a proof of concept (PoC)
    • conducting joint research
    • developing algorithms to prepare for the future
    • experimentally using quantum computers on the cloud
    • purchasing quantum sensing or communications products rather than quantum compute

    Any of these activities can qualify a firm as a commercial customer.

    That is entirely different from saying a quantum computer is integrated into a company’s daily operational systems and continuously delivering superior economic value over classical methods.

    Current quantum computers still face substantial limitations in performance, error rates, problem size, and cost.

    At present, cases where one can externally verify that quantum computing has demonstrated clear economic advantage over classical computing and that companies are paying recurring fees for that reason are virtually non-existent. Although D-Wave and others have published multiple “production applications,” the degree to which QPUs contribute within quantum-classical hybrid processing or the associated economic superiority over traditional methods has not been made fully transparent.

    Therefore, when companies announce “commercial customers are increasing,”

    it is best not to interpret that as “quantum computers have begun to be commonly used in enterprise production.”

    Having commercial customers is not the same as proving quantum computers’ commercial value.

    Revenue growth is not the same as practical quantum computing

    Quantum companies are already generating revenue.

    But that revenue comprises hardware sales, government contracts, PoCs, joint research, cloud usage, sensing, and communications.

    What quantum companies are earning and whether quantum computers have become a technology that earns money in production are still not the same thing.

    To assess the current state of commercialization, one should look less at headline revenue and more at who is paying, for what, and whether the payments are ongoing.

    Related articles

    • evaluating a quantum computer’s performance
    • running a proof of concept (PoC)
    • conducting joint research
    • developing algorithms to prepare for the future
    • experimentally using quantum computers on the cloud
    • purchasing quantum sensing or communications products rather than quantum compute

    Any of these activities can qualify a firm as a commercial customer.

    That is entirely different from saying a quantum computer is integrated into a company’s daily operational systems and continuously delivering superior economic value over classical methods.

    Current quantum computers still face substantial limitations in performance, error rates, problem size, and cost.

    At present, cases where one can externally verify that quantum computing has demonstrated clear economic advantage over classical computing and that companies are paying recurring fees for that reason are virtually non-existent. Although D-Wave and others have published multiple “production applications,” the degree to which QPUs contribute within quantum-classical hybrid processing or the associated economic superiority over traditional methods has not been made fully transparent.

    Therefore, when companies announce “commercial customers are increasing,”

    it is best not to interpret that as “quantum computers have begun to be commonly used in enterprise production.”

    Having commercial customers is not the same as proving quantum computers’ commercial value.

    Revenue growth is not the same as practical quantum computing

    Quantum companies are already generating revenue.

    But that revenue comprises hardware sales, government contracts, PoCs, joint research, cloud usage, sensing, and communications.

    What quantum companies are earning and whether quantum computers have become a technology that earns money in production are still not the same thing.

    To assess the current state of commercialization, one should look less at headline revenue and more at who is paying, for what, and whether the payments are ongoing.

    Related articles

    Quantum companies’ revenues have started to rise.

    In Q2 2026, IonQ reported $80.10 million (about ¥12.7 billion), Infleqtion reported $13.50 million (about ¥2.1 billion), Quantinuum reported $8.00 million (about ¥1.27 billion), Rigetti Computing reported $5.10 million (about ¥810 million), and D-Wave Quantum reported $3.10 million (about ¥490 million) in revenue.

    IonQ grew 287% year over year, Quantinuum 279%, and Infleqtion 157%. Looking at the raw numbers, it can appear that the quantum-computing market is rapidly commercializing and monetizing.

    However, what exactly are quantum companies selling to generate these revenues?

    Is it quantum compute time? Physical hardware? Government R&D contracts? Quantum sensing or communications?

    Tracing the current revenue structures of major quantum firms shows that the phrase “commercialization of the quantum market” often contains very different realities than the commonly imagined ‘‘commercialization of quantum computers’’.

    *Currency conversions are approximate, using an exchange rate of $1 ≈ ¥159 as of August 20, 2026.

    IonQ — the $12.7 billion quarter is not purely “quantum compute fees”

    IonQ stands out in Q2 2026.

    Revenue was $80.10 million (about ¥12.7 billion), roughly four times year-over-year and far above other pure-play quantum companies.

    However, it would be inaccurate to interpret this number as “IonQ’s quantum computers were used for about ¥12.7 billion worth of compute.”

    IonQ is no longer a company that only does quantum computing.

    Through successive acquisitions, the company has expanded into quantum networking, quantum security, sensing, photonics, and space-related technologies.

    For Q2 the company said roughly 25% of revenue came from customers using multiple product categories. About 60% of revenue was classified as “commercial,” but the scope of that commercial business has broadened significantly compared with the past.

    The company attributes revenue growth to Tempo quantum computer deployments and cloud usage, as well as demand across its broader “quantum platform.”

    In other words, IonQ’s current revenue should be viewed as

    quantum computing + quantum networking + security + sensing + other quantum-related businesses

    combined.

    While revenue is clearly growing rapidly, that growth alone no longer lets you infer the commercial demand for quantum computers themselves.

    Infleqtion — all quantum, but government contracts remain central

    Infleqtion is also interesting.

    Q2 2026 revenue was $13.50 million (about ¥2.1 billion), a 157% year-over-year increase. The company emphasized that this revenue was “100% organic and entirely from quantum.”

    Unlike IonQ, its growth is not being boosted by acquired non-quantum businesses.

    But “entirely quantum” is not the same as “revenue from commercial use of quantum computers.”

    Infleqtion develops the neutral-atom quantum computer “Sqale,” but it also has significant business lines in atomic clocks and quantum sensing.

    Moreover, government contracts play a large role in the company’s revenue. For example, Infleqtion has a $20 million (about ¥3.18 billion) contract with NASA to develop a spaceborne quantum gravity gradiometer. In Q1 2026 that NASA contract alone increased year-over-year revenue by about $4.0 million (about ¥640 million). The company has also derived revenue from the U.S. Department of Defense, the U.S. Army, the European Space Agency, and Japanese government projects.

    Infleqtion’s revenue is certainly “quantum,” but it includes

    quantum computing, quantum sensing, atomic clocks, and government R&D

    all together.

    Again, revenue from a quantum company should be distinguished from revenue specifically generated by commercial use of quantum computers.

    D-Wave — selling a single machine can change the financials

    D-Wave is one of the clearest examples of the current market structure.

    Q2 2026 revenue was $3.10 million (about ¥490 million), roughly flat year-over-year.

    However, first-half 2025 revenue was $18.10 million (about ¥2.88 billion), while first-half 2026 revenue was $5.90 million (about ¥940 million) — a 67% decline.

    The reason is simple: in the first half of 2025 D-Wave recorded a $13.70 million (about ¥2.18 billion) sale of a quantum computer. Selling one large quantum machine can materially swing annual or quarterly revenue for today’s quantum companies.

    D-Wave also offers a cloud service, Leap, as Quantum Computing as a Service (QCaaS).

    Of Leap’s QCaaS revenue in H1 2026, $1.30 million (about ¥210 million) was classified by D-Wave as revenue from “production applications,” representing 37.3% of total QCaaS revenue. In the prior-year period that figure was $0.30 million (about ¥48 million), or 9.8%.

    On the surface, those numbers suggest that production use of quantum computers is expanding. But this interpretation requires caution.

    Leap provides both direct QPU access and quantum-classical hybrid solvers. The internal workings of the latter are a black box to users: external observers cannot verify whether a QPU was actually used for a given calculation, or to what extent a QPU contributed to the result.

    What these figures do indicate is that D-Wave’s optimization services classified as “production” are being used. They do not definitively quantify the commercial value of the QPU itself.

    D-Wave’s current revenue model combines

    hardware sales + cloud usage + professional services

    with multiple models coexisting.

    Particularly, QCaaS “production” revenue should be read separately from metrics that would directly prove the QPU’s commercial usage.

    Rigetti — selling QPUs as well as offering cloud access

    Rigetti has also broadened how it generates revenue in recent years.

    Q2 2026 revenue was $5.10 million (about ¥810 million). The company attributes revenue growth to sales of the nine-qubit Novera quantum computing system and related products.

    Historically Rigetti provided quantum computing through its cloud QCS and via platforms such as Amazon Braket and Microsoft Azure Quantum.

    More recently, however, sales of QPUs and on-premises quantum systems directly to universities, research institutions, and HPC centers have become notable.

    For example, in Q1 2026 Rigetti sold and shipped a Novera QPU to the University of Saskatchewan in Canada. It is also delivering systems to India’s C-DAC and the Pittsburgh Supercomputing Center.

    What customers are buying in these cases is less a service that accelerates existing business processes and more research equipment to study and validate quantum computers themselves.

    More hardware sales will raise revenue, but that should not automatically be interpreted as equivalent to widespread industrial demand for quantum computation.

    Quantinuum — continuous cloud access as a different model

    Quantinuum presents a somewhat different case.

    Q2 2026 revenue was $8.00 million (about ¥1.27 billion), a 279% year-over-year increase.

    Notably, Quantinuum cites cloud business as the primary driver of its revenue growth.

    Unlike hardware sales or government contracts, cloud usage can build recurring revenue as long as customers keep using it. However, increased cloud usage does not necessarily mean those computations are generating economic value in customers’ production workflows — research, evaluation, and algorithm development are included.

    Still, how far a model that sells continued access to quantum compute capacity rather than the machines themselves can scale will be an important indicator of commercialization in the quantum industry.

    The same “revenue” can mean very different things

    Summarizing so far, current quantum-company revenue falls into at least the following categories.

    Type of revenueTypical examplesCharacteristics
    Sales of quantum computer hardwareD-Wave, RigettiSingle sales can be large, but revenue timing is project-dependent
    Cloud compute usageQuantinuum, D-Wave, IonQ, RigettiCan become recurring/stock-like if usage is sustained
    Government and R&D contractsInfleqtion, etc.A major source of demand in today’s quantum industry
    Quantum sensing and communicationsIonQ, InfleqtionMarkets outside quantum computing
    Professional services and joint researchVarious firmsPoCs, algorithm development, deployment support, etc.

    On the books, these are all simply revenue.

    But their implications for the industry’s maturity are quite different.

    For example, if a research institution buys a $20 million (about ¥3.18 billion) quantum computer, the manufacturer records about ¥3.18 billion in revenue.

    However, that does not necessarily mean that

    “the quantum computer was purchased because using it will generate more than ¥3.18 billion in economic value”

    It might have been bought as research equipment.

    It might be for national strategy reasons, to maintain domestic quantum computing capability.

    Or it might be an R&D investment to prepare for the future.

    Conversely, if a company pays monthly for quantum compute services and continuously reduces logistics or production costs as a result, the same revenue figure has a very different meaning.

    “Commercial customer” does not mean “a company using quantum computers in production”

    This point deserves special attention when assessing the current quantum industry.

    Quantum companies often report revenue from “commercial customers” or “commercial revenue.”

    D-Wave said 62.4% of Q2 2026 revenue came from commercial customers. IonQ also reports about 60% commercial revenue.

    From the headline numbers, one might conclude

    “Sixty percent of revenue comes from private companies using quantum computers in production.”

    But reading it that way today is almost certainly misleading.

    “Commercial customer” simply denotes a non-government, non-research institutional customer.

    Such a customer may be:

    • evaluating a quantum computer’s performance
    • running a proof of concept (PoC)
    • conducting joint research
    • developing algorithms to prepare for the future
    • experimentally using quantum computers on the cloud
    • purchasing quantum sensing or communications products rather than quantum compute

    Any of these activities can qualify a firm as a commercial customer.

    That is entirely different from saying a quantum computer is integrated into a company’s daily operational systems and continuously delivering superior economic value over classical methods.

    Current quantum computers still face substantial limitations in performance, error rates, problem size, and cost.

    At present, cases where one can externally verify that quantum computing has demonstrated clear economic advantage over classical computing and that companies are paying recurring fees for that reason are virtually non-existent. Although D-Wave and others have published multiple “production applications,” the degree to which QPUs contribute within quantum-classical hybrid processing or the associated economic superiority over traditional methods has not been made fully transparent.

    Therefore, when companies announce “commercial customers are increasing,”

    it is best not to interpret that as “quantum computers have begun to be commonly used in enterprise production.”

    Having commercial customers is not the same as proving quantum computers’ commercial value.

    Revenue growth is not the same as practical quantum computing

    Quantum companies are already generating revenue.

    But that revenue comprises hardware sales, government contracts, PoCs, joint research, cloud usage, sensing, and communications.

    What quantum companies are earning and whether quantum computers have become a technology that earns money in production are still not the same thing.

    To assess the current state of commercialization, one should look less at headline revenue and more at who is paying, for what, and whether the payments are ongoing.

    Related articles

  • evaluating a quantum computer’s performance
  • running a proof of concept (PoC)
  • conducting joint research
  • developing algorithms to prepare for the future
  • experimentally using quantum computers on the cloud
  • purchasing quantum sensing or communications products rather than quantum compute
  • Any of these activities can qualify a firm as a commercial customer.

    That is entirely different from saying a quantum computer is integrated into a company’s daily operational systems and continuously delivering superior economic value over classical methods.

    Current quantum computers still face substantial limitations in performance, error rates, problem size, and cost.

    At present, cases where one can externally verify that quantum computing has demonstrated clear economic advantage over classical computing and that companies are paying recurring fees for that reason are virtually non-existent. Although D-Wave and others have published multiple “production applications,” the degree to which QPUs contribute within quantum-classical hybrid processing or the associated economic superiority over traditional methods has not been made fully transparent.

    Therefore, when companies announce “commercial customers are increasing,”

    it is best not to interpret that as “quantum computers have begun to be commonly used in enterprise production.”

    Having commercial customers is not the same as proving quantum computers’ commercial value.

    Revenue growth is not the same as practical quantum computing

    Quantum companies are already generating revenue.

    But that revenue comprises hardware sales, government contracts, PoCs, joint research, cloud usage, sensing, and communications.

    What quantum companies are earning and whether quantum computers have become a technology that earns money in production are still not the same thing.

    To assess the current state of commercialization, one should look less at headline revenue and more at who is paying, for what, and whether the payments are ongoing.

    Related articles

    • evaluating a quantum computer’s performance
    • running a proof of concept (PoC)
    • conducting joint research
    • developing algorithms to prepare for the future
    • experimentally using quantum computers on the cloud
    • purchasing quantum sensing or communications products rather than quantum compute

    Any of these activities can qualify a firm as a commercial customer.

    That is entirely different from saying a quantum computer is integrated into a company’s daily operational systems and continuously delivering superior economic value over classical methods.

    Current quantum computers still face substantial limitations in performance, error rates, problem size, and cost.

    At present, cases where one can externally verify that quantum computing has demonstrated clear economic advantage over classical computing and that companies are paying recurring fees for that reason are virtually non-existent. Although D-Wave and others have published multiple “production applications,” the degree to which QPUs contribute within quantum-classical hybrid processing or the associated economic superiority over traditional methods has not been made fully transparent.

    Therefore, when companies announce “commercial customers are increasing,”

    it is best not to interpret that as “quantum computers have begun to be commonly used in enterprise production.”

    Having commercial customers is not the same as proving quantum computers’ commercial value.

    Revenue growth is not the same as practical quantum computing

    Quantum companies are already generating revenue.

    But that revenue comprises hardware sales, government contracts, PoCs, joint research, cloud usage, sensing, and communications.

    What quantum companies are earning and whether quantum computers have become a technology that earns money in production are still not the same thing.

    To assess the current state of commercialization, one should look less at headline revenue and more at who is paying, for what, and whether the payments are ongoing.

    Related articles

    • evaluating a quantum computer’s performance
    • running a proof of concept (PoC)
    • conducting joint research
    • developing algorithms to prepare for the future
    • experimentally using quantum computers on the cloud
    • purchasing quantum sensing or communications products rather than quantum compute

    Any of these activities can qualify a firm as a commercial customer.

    That is entirely different from saying a quantum computer is integrated into a company’s daily operational systems and continuously delivering superior economic value over classical methods.

    Current quantum computers still face substantial limitations in performance, error rates, problem size, and cost.

    At present, cases where one can externally verify that quantum computing has demonstrated clear economic advantage over classical computing and that companies are paying recurring fees for that reason are virtually non-existent. Although D-Wave and others have published multiple “production applications,” the degree to which QPUs contribute within quantum-classical hybrid processing or the associated economic superiority over traditional methods has not been made fully transparent.

    Therefore, when companies announce “commercial customers are increasing,”

    it is best not to interpret that as “quantum computers have begun to be commonly used in enterprise production.”

    Having commercial customers is not the same as proving quantum computers’ commercial value.

    Revenue growth is not the same as practical quantum computing

    Quantum companies are already generating revenue.

    But that revenue comprises hardware sales, government contracts, PoCs, joint research, cloud usage, sensing, and communications.

    What quantum companies are earning and whether quantum computers have become a technology that earns money in production are still not the same thing.

    To assess the current state of commercialization, one should look less at headline revenue and more at who is paying, for what, and whether the payments are ongoing.

    Related articles

    Quantum companies’ revenues have started to rise.

    In Q2 2026, IonQ reported $80.10 million (about ¥12.7 billion), Infleqtion reported $13.50 million (about ¥2.1 billion), Quantinuum reported $8.00 million (about ¥1.27 billion), Rigetti Computing reported $5.10 million (about ¥810 million), and D-Wave Quantum reported $3.10 million (about ¥490 million) in revenue.

    IonQ grew 287% year over year, Quantinuum 279%, and Infleqtion 157%. Looking at the raw numbers, it can appear that the quantum-computing market is rapidly commercializing and monetizing.

    However, what exactly are quantum companies selling to generate these revenues?

    Is it quantum compute time? Physical hardware? Government R&D contracts? Quantum sensing or communications?

    Tracing the current revenue structures of major quantum firms shows that the phrase “commercialization of the quantum market” often contains very different realities than the commonly imagined ‘‘commercialization of quantum computers’’.

    *Currency conversions are approximate, using an exchange rate of $1 ≈ ¥159 as of August 20, 2026.

    IonQ — the $12.7 billion quarter is not purely “quantum compute fees”

    IonQ stands out in Q2 2026.

    Revenue was $80.10 million (about ¥12.7 billion), roughly four times year-over-year and far above other pure-play quantum companies.

    However, it would be inaccurate to interpret this number as “IonQ’s quantum computers were used for about ¥12.7 billion worth of compute.”

    IonQ is no longer a company that only does quantum computing.

    Through successive acquisitions, the company has expanded into quantum networking, quantum security, sensing, photonics, and space-related technologies.

    For Q2 the company said roughly 25% of revenue came from customers using multiple product categories. About 60% of revenue was classified as “commercial,” but the scope of that commercial business has broadened significantly compared with the past.

    The company attributes revenue growth to Tempo quantum computer deployments and cloud usage, as well as demand across its broader “quantum platform.”

    In other words, IonQ’s current revenue should be viewed as

    quantum computing + quantum networking + security + sensing + other quantum-related businesses

    combined.

    While revenue is clearly growing rapidly, that growth alone no longer lets you infer the commercial demand for quantum computers themselves.

    Infleqtion — all quantum, but government contracts remain central

    Infleqtion is also interesting.

    Q2 2026 revenue was $13.50 million (about ¥2.1 billion), a 157% year-over-year increase. The company emphasized that this revenue was “100% organic and entirely from quantum.”

    Unlike IonQ, its growth is not being boosted by acquired non-quantum businesses.

    But “entirely quantum” is not the same as “revenue from commercial use of quantum computers.”

    Infleqtion develops the neutral-atom quantum computer “Sqale,” but it also has significant business lines in atomic clocks and quantum sensing.

    Moreover, government contracts play a large role in the company’s revenue. For example, Infleqtion has a $20 million (about ¥3.18 billion) contract with NASA to develop a spaceborne quantum gravity gradiometer. In Q1 2026 that NASA contract alone increased year-over-year revenue by about $4.0 million (about ¥640 million). The company has also derived revenue from the U.S. Department of Defense, the U.S. Army, the European Space Agency, and Japanese government projects.

    Infleqtion’s revenue is certainly “quantum,” but it includes

    quantum computing, quantum sensing, atomic clocks, and government R&D

    all together.

    Again, revenue from a quantum company should be distinguished from revenue specifically generated by commercial use of quantum computers.

    D-Wave — selling a single machine can change the financials

    D-Wave is one of the clearest examples of the current market structure.

    Q2 2026 revenue was $3.10 million (about ¥490 million), roughly flat year-over-year.

    However, first-half 2025 revenue was $18.10 million (about ¥2.88 billion), while first-half 2026 revenue was $5.90 million (about ¥940 million) — a 67% decline.

    The reason is simple: in the first half of 2025 D-Wave recorded a $13.70 million (about ¥2.18 billion) sale of a quantum computer. Selling one large quantum machine can materially swing annual or quarterly revenue for today’s quantum companies.

    D-Wave also offers a cloud service, Leap, as Quantum Computing as a Service (QCaaS).

    Of Leap’s QCaaS revenue in H1 2026, $1.30 million (about ¥210 million) was classified by D-Wave as revenue from “production applications,” representing 37.3% of total QCaaS revenue. In the prior-year period that figure was $0.30 million (about ¥48 million), or 9.8%.

    On the surface, those numbers suggest that production use of quantum computers is expanding. But this interpretation requires caution.

    Leap provides both direct QPU access and quantum-classical hybrid solvers. The internal workings of the latter are a black box to users: external observers cannot verify whether a QPU was actually used for a given calculation, or to what extent a QPU contributed to the result.

    What these figures do indicate is that D-Wave’s optimization services classified as “production” are being used. They do not definitively quantify the commercial value of the QPU itself.

    D-Wave’s current revenue model combines

    hardware sales + cloud usage + professional services

    with multiple models coexisting.

    Particularly, QCaaS “production” revenue should be read separately from metrics that would directly prove the QPU’s commercial usage.

    Rigetti — selling QPUs as well as offering cloud access

    Rigetti has also broadened how it generates revenue in recent years.

    Q2 2026 revenue was $5.10 million (about ¥810 million). The company attributes revenue growth to sales of the nine-qubit Novera quantum computing system and related products.

    Historically Rigetti provided quantum computing through its cloud QCS and via platforms such as Amazon Braket and Microsoft Azure Quantum.

    More recently, however, sales of QPUs and on-premises quantum systems directly to universities, research institutions, and HPC centers have become notable.

    For example, in Q1 2026 Rigetti sold and shipped a Novera QPU to the University of Saskatchewan in Canada. It is also delivering systems to India’s C-DAC and the Pittsburgh Supercomputing Center.

    What customers are buying in these cases is less a service that accelerates existing business processes and more research equipment to study and validate quantum computers themselves.

    More hardware sales will raise revenue, but that should not automatically be interpreted as equivalent to widespread industrial demand for quantum computation.

    Quantinuum — continuous cloud access as a different model

    Quantinuum presents a somewhat different case.

    Q2 2026 revenue was $8.00 million (about ¥1.27 billion), a 279% year-over-year increase.

    Notably, Quantinuum cites cloud business as the primary driver of its revenue growth.

    Unlike hardware sales or government contracts, cloud usage can build recurring revenue as long as customers keep using it. However, increased cloud usage does not necessarily mean those computations are generating economic value in customers’ production workflows — research, evaluation, and algorithm development are included.

    Still, how far a model that sells continued access to quantum compute capacity rather than the machines themselves can scale will be an important indicator of commercialization in the quantum industry.

    The same “revenue” can mean very different things

    Summarizing so far, current quantum-company revenue falls into at least the following categories.

    Type of revenueTypical examplesCharacteristics
    Sales of quantum computer hardwareD-Wave, RigettiSingle sales can be large, but revenue timing is project-dependent
    Cloud compute usageQuantinuum, D-Wave, IonQ, RigettiCan become recurring/stock-like if usage is sustained
    Government and R&D contractsInfleqtion, etc.A major source of demand in today’s quantum industry
    Quantum sensing and communicationsIonQ, InfleqtionMarkets outside quantum computing
    Professional services and joint researchVarious firmsPoCs, algorithm development, deployment support, etc.

    On the books, these are all simply revenue.

    But their implications for the industry’s maturity are quite different.

    For example, if a research institution buys a $20 million (about ¥3.18 billion) quantum computer, the manufacturer records about ¥3.18 billion in revenue.

    However, that does not necessarily mean that

    “the quantum computer was purchased because using it will generate more than ¥3.18 billion in economic value”

    It might have been bought as research equipment.

    It might be for national strategy reasons, to maintain domestic quantum computing capability.

    Or it might be an R&D investment to prepare for the future.

    Conversely, if a company pays monthly for quantum compute services and continuously reduces logistics or production costs as a result, the same revenue figure has a very different meaning.

    “Commercial customer” does not mean “a company using quantum computers in production”

    This point deserves special attention when assessing the current quantum industry.

    Quantum companies often report revenue from “commercial customers” or “commercial revenue.”

    D-Wave said 62.4% of Q2 2026 revenue came from commercial customers. IonQ also reports about 60% commercial revenue.

    From the headline numbers, one might conclude

    “Sixty percent of revenue comes from private companies using quantum computers in production.”

    But reading it that way today is almost certainly misleading.

    “Commercial customer” simply denotes a non-government, non-research institutional customer.

    Such a customer may be:

    • evaluating a quantum computer’s performance
    • running a proof of concept (PoC)
    • conducting joint research
    • developing algorithms to prepare for the future
    • experimentally using quantum computers on the cloud
    • purchasing quantum sensing or communications products rather than quantum compute

    Any of these activities can qualify a firm as a commercial customer.

    That is entirely different from saying a quantum computer is integrated into a company’s daily operational systems and continuously delivering superior economic value over classical methods.

    Current quantum computers still face substantial limitations in performance, error rates, problem size, and cost.

    At present, cases where one can externally verify that quantum computing has demonstrated clear economic advantage over classical computing and that companies are paying recurring fees for that reason are virtually non-existent. Although D-Wave and others have published multiple “production applications,” the degree to which QPUs contribute within quantum-classical hybrid processing or the associated economic superiority over traditional methods has not been made fully transparent.

    Therefore, when companies announce “commercial customers are increasing,”

    it is best not to interpret that as “quantum computers have begun to be commonly used in enterprise production.”

    Having commercial customers is not the same as proving quantum computers’ commercial value.

    Revenue growth is not the same as practical quantum computing

    Quantum companies are already generating revenue.

    But that revenue comprises hardware sales, government contracts, PoCs, joint research, cloud usage, sensing, and communications.

    What quantum companies are earning and whether quantum computers have become a technology that earns money in production are still not the same thing.

    To assess the current state of commercialization, one should look less at headline revenue and more at who is paying, for what, and whether the payments are ongoing.

    Related articles

  • developing algorithms to prepare for the future
  • experimentally using quantum computers on the cloud
  • purchasing quantum sensing or communications products rather than quantum compute
  • Any of these activities can qualify a firm as a commercial customer.

    That is entirely different from saying a quantum computer is integrated into a company’s daily operational systems and continuously delivering superior economic value over classical methods.

    Current quantum computers still face substantial limitations in performance, error rates, problem size, and cost.

    At present, cases where one can externally verify that quantum computing has demonstrated clear economic advantage over classical computing and that companies are paying recurring fees for that reason are virtually non-existent. Although D-Wave and others have published multiple “production applications,” the degree to which QPUs contribute within quantum-classical hybrid processing or the associated economic superiority over traditional methods has not been made fully transparent.

    Therefore, when companies announce “commercial customers are increasing,”

    it is best not to interpret that as “quantum computers have begun to be commonly used in enterprise production.”

    Having commercial customers is not the same as proving quantum computers’ commercial value.

    Revenue growth is not the same as practical quantum computing

    Quantum companies are already generating revenue.

    But that revenue comprises hardware sales, government contracts, PoCs, joint research, cloud usage, sensing, and communications.

    What quantum companies are earning and whether quantum computers have become a technology that earns money in production are still not the same thing.

    To assess the current state of commercialization, one should look less at headline revenue and more at who is paying, for what, and whether the payments are ongoing.

    Related articles

  • evaluating a quantum computer’s performance
  • running a proof of concept (PoC)
  • conducting joint research
  • developing algorithms to prepare for the future
  • experimentally using quantum computers on the cloud
  • purchasing quantum sensing or communications products rather than quantum compute
  • Any of these activities can qualify a firm as a commercial customer.

    That is entirely different from saying a quantum computer is integrated into a company’s daily operational systems and continuously delivering superior economic value over classical methods.

    Current quantum computers still face substantial limitations in performance, error rates, problem size, and cost.

    At present, cases where one can externally verify that quantum computing has demonstrated clear economic advantage over classical computing and that companies are paying recurring fees for that reason are virtually non-existent. Although D-Wave and others have published multiple “production applications,” the degree to which QPUs contribute within quantum-classical hybrid processing or the associated economic superiority over traditional methods has not been made fully transparent.

    Therefore, when companies announce “commercial customers are increasing,”

    it is best not to interpret that as “quantum computers have begun to be commonly used in enterprise production.”

    Having commercial customers is not the same as proving quantum computers’ commercial value.

    Revenue growth is not the same as practical quantum computing

    Quantum companies are already generating revenue.

    But that revenue comprises hardware sales, government contracts, PoCs, joint research, cloud usage, sensing, and communications.

    What quantum companies are earning and whether quantum computers have become a technology that earns money in production are still not the same thing.

    To assess the current state of commercialization, one should look less at headline revenue and more at who is paying, for what, and whether the payments are ongoing.

    Related articles

    • evaluating a quantum computer’s performance
    • running a proof of concept (PoC)
    • conducting joint research
    • developing algorithms to prepare for the future
    • experimentally using quantum computers on the cloud
    • purchasing quantum sensing or communications products rather than quantum compute

    Any of these activities can qualify a firm as a commercial customer.

    That is entirely different from saying a quantum computer is integrated into a company’s daily operational systems and continuously delivering superior economic value over classical methods.

    Current quantum computers still face substantial limitations in performance, error rates, problem size, and cost.

    At present, cases where one can externally verify that quantum computing has demonstrated clear economic advantage over classical computing and that companies are paying recurring fees for that reason are virtually non-existent. Although D-Wave and others have published multiple “production applications,” the degree to which QPUs contribute within quantum-classical hybrid processing or the associated economic superiority over traditional methods has not been made fully transparent.

    Therefore, when companies announce “commercial customers are increasing,”

    it is best not to interpret that as “quantum computers have begun to be commonly used in enterprise production.”

    Having commercial customers is not the same as proving quantum computers’ commercial value.

    Revenue growth is not the same as practical quantum computing

    Quantum companies are already generating revenue.

    But that revenue comprises hardware sales, government contracts, PoCs, joint research, cloud usage, sensing, and communications.

    What quantum companies are earning and whether quantum computers have become a technology that earns money in production are still not the same thing.

    To assess the current state of commercialization, one should look less at headline revenue and more at who is paying, for what, and whether the payments are ongoing.

    Related articles

    • evaluating a quantum computer’s performance
    • running a proof of concept (PoC)
    • conducting joint research
    • developing algorithms to prepare for the future
    • experimentally using quantum computers on the cloud
    • purchasing quantum sensing or communications products rather than quantum compute

    Any of these activities can qualify a firm as a commercial customer.

    That is entirely different from saying a quantum computer is integrated into a company’s daily operational systems and continuously delivering superior economic value over classical methods.

    Current quantum computers still face substantial limitations in performance, error rates, problem size, and cost.

    At present, cases where one can externally verify that quantum computing has demonstrated clear economic advantage over classical computing and that companies are paying recurring fees for that reason are virtually non-existent. Although D-Wave and others have published multiple “production applications,” the degree to which QPUs contribute within quantum-classical hybrid processing or the associated economic superiority over traditional methods has not been made fully transparent.

    Therefore, when companies announce “commercial customers are increasing,”

    it is best not to interpret that as “quantum computers have begun to be commonly used in enterprise production.”

    Having commercial customers is not the same as proving quantum computers’ commercial value.

    Revenue growth is not the same as practical quantum computing

    Quantum companies are already generating revenue.

    But that revenue comprises hardware sales, government contracts, PoCs, joint research, cloud usage, sensing, and communications.

    What quantum companies are earning and whether quantum computers have become a technology that earns money in production are still not the same thing.

    To assess the current state of commercialization, one should look less at headline revenue and more at who is paying, for what, and whether the payments are ongoing.

    Related articles

    Quantum companies’ revenues have started to rise.

    In Q2 2026, IonQ reported $80.10 million (about ¥12.7 billion), Infleqtion reported $13.50 million (about ¥2.1 billion), Quantinuum reported $8.00 million (about ¥1.27 billion), Rigetti Computing reported $5.10 million (about ¥810 million), and D-Wave Quantum reported $3.10 million (about ¥490 million) in revenue.

    IonQ grew 287% year over year, Quantinuum 279%, and Infleqtion 157%. Looking at the raw numbers, it can appear that the quantum-computing market is rapidly commercializing and monetizing.

    However, what exactly are quantum companies selling to generate these revenues?

    Is it quantum compute time? Physical hardware? Government R&D contracts? Quantum sensing or communications?

    Tracing the current revenue structures of major quantum firms shows that the phrase “commercialization of the quantum market” often contains very different realities than the commonly imagined ‘‘commercialization of quantum computers’’.

    *Currency conversions are approximate, using an exchange rate of $1 ≈ ¥159 as of August 20, 2026.

    IonQ — the $12.7 billion quarter is not purely “quantum compute fees”

    IonQ stands out in Q2 2026.

    Revenue was $80.10 million (about ¥12.7 billion), roughly four times year-over-year and far above other pure-play quantum companies.

    However, it would be inaccurate to interpret this number as “IonQ’s quantum computers were used for about ¥12.7 billion worth of compute.”

    IonQ is no longer a company that only does quantum computing.

    Through successive acquisitions, the company has expanded into quantum networking, quantum security, sensing, photonics, and space-related technologies.

    For Q2 the company said roughly 25% of revenue came from customers using multiple product categories. About 60% of revenue was classified as “commercial,” but the scope of that commercial business has broadened significantly compared with the past.

    The company attributes revenue growth to Tempo quantum computer deployments and cloud usage, as well as demand across its broader “quantum platform.”

    In other words, IonQ’s current revenue should be viewed as

    quantum computing + quantum networking + security + sensing + other quantum-related businesses

    combined.

    While revenue is clearly growing rapidly, that growth alone no longer lets you infer the commercial demand for quantum computers themselves.

    Infleqtion — all quantum, but government contracts remain central

    Infleqtion is also interesting.

    Q2 2026 revenue was $13.50 million (about ¥2.1 billion), a 157% year-over-year increase. The company emphasized that this revenue was “100% organic and entirely from quantum.”

    Unlike IonQ, its growth is not being boosted by acquired non-quantum businesses.

    But “entirely quantum” is not the same as “revenue from commercial use of quantum computers.”

    Infleqtion develops the neutral-atom quantum computer “Sqale,” but it also has significant business lines in atomic clocks and quantum sensing.

    Moreover, government contracts play a large role in the company’s revenue. For example, Infleqtion has a $20 million (about ¥3.18 billion) contract with NASA to develop a spaceborne quantum gravity gradiometer. In Q1 2026 that NASA contract alone increased year-over-year revenue by about $4.0 million (about ¥640 million). The company has also derived revenue from the U.S. Department of Defense, the U.S. Army, the European Space Agency, and Japanese government projects.

    Infleqtion’s revenue is certainly “quantum,” but it includes

    quantum computing, quantum sensing, atomic clocks, and government R&D

    all together.

    Again, revenue from a quantum company should be distinguished from revenue specifically generated by commercial use of quantum computers.

    D-Wave — selling a single machine can change the financials

    D-Wave is one of the clearest examples of the current market structure.

    Q2 2026 revenue was $3.10 million (about ¥490 million), roughly flat year-over-year.

    However, first-half 2025 revenue was $18.10 million (about ¥2.88 billion), while first-half 2026 revenue was $5.90 million (about ¥940 million) — a 67% decline.

    The reason is simple: in the first half of 2025 D-Wave recorded a $13.70 million (about ¥2.18 billion) sale of a quantum computer. Selling one large quantum machine can materially swing annual or quarterly revenue for today’s quantum companies.

    D-Wave also offers a cloud service, Leap, as Quantum Computing as a Service (QCaaS).

    Of Leap’s QCaaS revenue in H1 2026, $1.30 million (about ¥210 million) was classified by D-Wave as revenue from “production applications,” representing 37.3% of total QCaaS revenue. In the prior-year period that figure was $0.30 million (about ¥48 million), or 9.8%.

    On the surface, those numbers suggest that production use of quantum computers is expanding. But this interpretation requires caution.

    Leap provides both direct QPU access and quantum-classical hybrid solvers. The internal workings of the latter are a black box to users: external observers cannot verify whether a QPU was actually used for a given calculation, or to what extent a QPU contributed to the result.

    What these figures do indicate is that D-Wave’s optimization services classified as “production” are being used. They do not definitively quantify the commercial value of the QPU itself.

    D-Wave’s current revenue model combines

    hardware sales + cloud usage + professional services

    with multiple models coexisting.

    Particularly, QCaaS “production” revenue should be read separately from metrics that would directly prove the QPU’s commercial usage.

    Rigetti — selling QPUs as well as offering cloud access

    Rigetti has also broadened how it generates revenue in recent years.

    Q2 2026 revenue was $5.10 million (about ¥810 million). The company attributes revenue growth to sales of the nine-qubit Novera quantum computing system and related products.

    Historically Rigetti provided quantum computing through its cloud QCS and via platforms such as Amazon Braket and Microsoft Azure Quantum.

    More recently, however, sales of QPUs and on-premises quantum systems directly to universities, research institutions, and HPC centers have become notable.

    For example, in Q1 2026 Rigetti sold and shipped a Novera QPU to the University of Saskatchewan in Canada. It is also delivering systems to India’s C-DAC and the Pittsburgh Supercomputing Center.

    What customers are buying in these cases is less a service that accelerates existing business processes and more research equipment to study and validate quantum computers themselves.

    More hardware sales will raise revenue, but that should not automatically be interpreted as equivalent to widespread industrial demand for quantum computation.

    Quantinuum — continuous cloud access as a different model

    Quantinuum presents a somewhat different case.

    Q2 2026 revenue was $8.00 million (about ¥1.27 billion), a 279% year-over-year increase.

    Notably, Quantinuum cites cloud business as the primary driver of its revenue growth.

    Unlike hardware sales or government contracts, cloud usage can build recurring revenue as long as customers keep using it. However, increased cloud usage does not necessarily mean those computations are generating economic value in customers’ production workflows — research, evaluation, and algorithm development are included.

    Still, how far a model that sells continued access to quantum compute capacity rather than the machines themselves can scale will be an important indicator of commercialization in the quantum industry.

    The same “revenue” can mean very different things

    Summarizing so far, current quantum-company revenue falls into at least the following categories.

    Type of revenueTypical examplesCharacteristics
    Sales of quantum computer hardwareD-Wave, RigettiSingle sales can be large, but revenue timing is project-dependent
    Cloud compute usageQuantinuum, D-Wave, IonQ, RigettiCan become recurring/stock-like if usage is sustained
    Government and R&D contractsInfleqtion, etc.A major source of demand in today’s quantum industry
    Quantum sensing and communicationsIonQ, InfleqtionMarkets outside quantum computing
    Professional services and joint researchVarious firmsPoCs, algorithm development, deployment support, etc.

    On the books, these are all simply revenue.

    But their implications for the industry’s maturity are quite different.

    For example, if a research institution buys a $20 million (about ¥3.18 billion) quantum computer, the manufacturer records about ¥3.18 billion in revenue.

    However, that does not necessarily mean that

    “the quantum computer was purchased because using it will generate more than ¥3.18 billion in economic value”

    It might have been bought as research equipment.

    It might be for national strategy reasons, to maintain domestic quantum computing capability.

    Or it might be an R&D investment to prepare for the future.

    Conversely, if a company pays monthly for quantum compute services and continuously reduces logistics or production costs as a result, the same revenue figure has a very different meaning.

    “Commercial customer” does not mean “a company using quantum computers in production”

    This point deserves special attention when assessing the current quantum industry.

    Quantum companies often report revenue from “commercial customers” or “commercial revenue.”

    D-Wave said 62.4% of Q2 2026 revenue came from commercial customers. IonQ also reports about 60% commercial revenue.

    From the headline numbers, one might conclude

    “Sixty percent of revenue comes from private companies using quantum computers in production.”

    But reading it that way today is almost certainly misleading.

    “Commercial customer” simply denotes a non-government, non-research institutional customer.

    Such a customer may be:

    • evaluating a quantum computer’s performance
    • running a proof of concept (PoC)
    • conducting joint research
    • developing algorithms to prepare for the future
    • experimentally using quantum computers on the cloud
    • purchasing quantum sensing or communications products rather than quantum compute

    Any of these activities can qualify a firm as a commercial customer.

    That is entirely different from saying a quantum computer is integrated into a company’s daily operational systems and continuously delivering superior economic value over classical methods.

    Current quantum computers still face substantial limitations in performance, error rates, problem size, and cost.

    At present, cases where one can externally verify that quantum computing has demonstrated clear economic advantage over classical computing and that companies are paying recurring fees for that reason are virtually non-existent. Although D-Wave and others have published multiple “production applications,” the degree to which QPUs contribute within quantum-classical hybrid processing or the associated economic superiority over traditional methods has not been made fully transparent.

    Therefore, when companies announce “commercial customers are increasing,”

    it is best not to interpret that as “quantum computers have begun to be commonly used in enterprise production.”

    Having commercial customers is not the same as proving quantum computers’ commercial value.

    Revenue growth is not the same as practical quantum computing

    Quantum companies are already generating revenue.

    But that revenue comprises hardware sales, government contracts, PoCs, joint research, cloud usage, sensing, and communications.

    What quantum companies are earning and whether quantum computers have become a technology that earns money in production are still not the same thing.

    To assess the current state of commercialization, one should look less at headline revenue and more at who is paying, for what, and whether the payments are ongoing.

    Related articles

  • conducting joint research
  • developing algorithms to prepare for the future
  • experimentally using quantum computers on the cloud
  • purchasing quantum sensing or communications products rather than quantum compute
  • Any of these activities can qualify a firm as a commercial customer.

    That is entirely different from saying a quantum computer is integrated into a company’s daily operational systems and continuously delivering superior economic value over classical methods.

    Current quantum computers still face substantial limitations in performance, error rates, problem size, and cost.

    At present, cases where one can externally verify that quantum computing has demonstrated clear economic advantage over classical computing and that companies are paying recurring fees for that reason are virtually non-existent. Although D-Wave and others have published multiple “production applications,” the degree to which QPUs contribute within quantum-classical hybrid processing or the associated economic superiority over traditional methods has not been made fully transparent.

    Therefore, when companies announce “commercial customers are increasing,”

    it is best not to interpret that as “quantum computers have begun to be commonly used in enterprise production.”

    Having commercial customers is not the same as proving quantum computers’ commercial value.

    Revenue growth is not the same as practical quantum computing

    Quantum companies are already generating revenue.

    But that revenue comprises hardware sales, government contracts, PoCs, joint research, cloud usage, sensing, and communications.

    What quantum companies are earning and whether quantum computers have become a technology that earns money in production are still not the same thing.

    To assess the current state of commercialization, one should look less at headline revenue and more at who is paying, for what, and whether the payments are ongoing.

    Related articles

  • evaluating a quantum computer’s performance
  • running a proof of concept (PoC)
  • conducting joint research
  • developing algorithms to prepare for the future
  • experimentally using quantum computers on the cloud
  • purchasing quantum sensing or communications products rather than quantum compute
  • Any of these activities can qualify a firm as a commercial customer.

    That is entirely different from saying a quantum computer is integrated into a company’s daily operational systems and continuously delivering superior economic value over classical methods.

    Current quantum computers still face substantial limitations in performance, error rates, problem size, and cost.

    At present, cases where one can externally verify that quantum computing has demonstrated clear economic advantage over classical computing and that companies are paying recurring fees for that reason are virtually non-existent. Although D-Wave and others have published multiple “production applications,” the degree to which QPUs contribute within quantum-classical hybrid processing or the associated economic superiority over traditional methods has not been made fully transparent.

    Therefore, when companies announce “commercial customers are increasing,”

    it is best not to interpret that as “quantum computers have begun to be commonly used in enterprise production.”

    Having commercial customers is not the same as proving quantum computers’ commercial value.

    Revenue growth is not the same as practical quantum computing

    Quantum companies are already generating revenue.

    But that revenue comprises hardware sales, government contracts, PoCs, joint research, cloud usage, sensing, and communications.

    What quantum companies are earning and whether quantum computers have become a technology that earns money in production are still not the same thing.

    To assess the current state of commercialization, one should look less at headline revenue and more at who is paying, for what, and whether the payments are ongoing.

    Related articles

    • evaluating a quantum computer’s performance
    • running a proof of concept (PoC)
    • conducting joint research
    • developing algorithms to prepare for the future
    • experimentally using quantum computers on the cloud
    • purchasing quantum sensing or communications products rather than quantum compute

    Any of these activities can qualify a firm as a commercial customer.

    That is entirely different from saying a quantum computer is integrated into a company’s daily operational systems and continuously delivering superior economic value over classical methods.

    Current quantum computers still face substantial limitations in performance, error rates, problem size, and cost.

    At present, cases where one can externally verify that quantum computing has demonstrated clear economic advantage over classical computing and that companies are paying recurring fees for that reason are virtually non-existent. Although D-Wave and others have published multiple “production applications,” the degree to which QPUs contribute within quantum-classical hybrid processing or the associated economic superiority over traditional methods has not been made fully transparent.

    Therefore, when companies announce “commercial customers are increasing,”

    it is best not to interpret that as “quantum computers have begun to be commonly used in enterprise production.”

    Having commercial customers is not the same as proving quantum computers’ commercial value.

    Revenue growth is not the same as practical quantum computing

    Quantum companies are already generating revenue.

    But that revenue comprises hardware sales, government contracts, PoCs, joint research, cloud usage, sensing, and communications.

    What quantum companies are earning and whether quantum computers have become a technology that earns money in production are still not the same thing.

    To assess the current state of commercialization, one should look less at headline revenue and more at who is paying, for what, and whether the payments are ongoing.

    Related articles

    • evaluating a quantum computer’s performance
    • running a proof of concept (PoC)
    • conducting joint research
    • developing algorithms to prepare for the future
    • experimentally using quantum computers on the cloud
    • purchasing quantum sensing or communications products rather than quantum compute

    Any of these activities can qualify a firm as a commercial customer.

    That is entirely different from saying a quantum computer is integrated into a company’s daily operational systems and continuously delivering superior economic value over classical methods.

    Current quantum computers still face substantial limitations in performance, error rates, problem size, and cost.

    At present, cases where one can externally verify that quantum computing has demonstrated clear economic advantage over classical computing and that companies are paying recurring fees for that reason are virtually non-existent. Although D-Wave and others have published multiple “production applications,” the degree to which QPUs contribute within quantum-classical hybrid processing or the associated economic superiority over traditional methods has not been made fully transparent.

    Therefore, when companies announce “commercial customers are increasing,”

    it is best not to interpret that as “quantum computers have begun to be commonly used in enterprise production.”

    Having commercial customers is not the same as proving quantum computers’ commercial value.

    Revenue growth is not the same as practical quantum computing

    Quantum companies are already generating revenue.

    But that revenue comprises hardware sales, government contracts, PoCs, joint research, cloud usage, sensing, and communications.

    What quantum companies are earning and whether quantum computers have become a technology that earns money in production are still not the same thing.

    To assess the current state of commercialization, one should look less at headline revenue and more at who is paying, for what, and whether the payments are ongoing.

    Related articles

    Quantum companies’ revenues have started to rise.

    In Q2 2026, IonQ reported $80.10 million (about ¥12.7 billion), Infleqtion reported $13.50 million (about ¥2.1 billion), Quantinuum reported $8.00 million (about ¥1.27 billion), Rigetti Computing reported $5.10 million (about ¥810 million), and D-Wave Quantum reported $3.10 million (about ¥490 million) in revenue.

    IonQ grew 287% year over year, Quantinuum 279%, and Infleqtion 157%. Looking at the raw numbers, it can appear that the quantum-computing market is rapidly commercializing and monetizing.

    However, what exactly are quantum companies selling to generate these revenues?

    Is it quantum compute time? Physical hardware? Government R&D contracts? Quantum sensing or communications?

    Tracing the current revenue structures of major quantum firms shows that the phrase “commercialization of the quantum market” often contains very different realities than the commonly imagined ‘‘commercialization of quantum computers’’.

    *Currency conversions are approximate, using an exchange rate of $1 ≈ ¥159 as of August 20, 2026.

    IonQ — the $12.7 billion quarter is not purely “quantum compute fees”

    IonQ stands out in Q2 2026.

    Revenue was $80.10 million (about ¥12.7 billion), roughly four times year-over-year and far above other pure-play quantum companies.

    However, it would be inaccurate to interpret this number as “IonQ’s quantum computers were used for about ¥12.7 billion worth of compute.”

    IonQ is no longer a company that only does quantum computing.

    Through successive acquisitions, the company has expanded into quantum networking, quantum security, sensing, photonics, and space-related technologies.

    For Q2 the company said roughly 25% of revenue came from customers using multiple product categories. About 60% of revenue was classified as “commercial,” but the scope of that commercial business has broadened significantly compared with the past.

    The company attributes revenue growth to Tempo quantum computer deployments and cloud usage, as well as demand across its broader “quantum platform.”

    In other words, IonQ’s current revenue should be viewed as

    quantum computing + quantum networking + security + sensing + other quantum-related businesses

    combined.

    While revenue is clearly growing rapidly, that growth alone no longer lets you infer the commercial demand for quantum computers themselves.

    Infleqtion — all quantum, but government contracts remain central

    Infleqtion is also interesting.

    Q2 2026 revenue was $13.50 million (about ¥2.1 billion), a 157% year-over-year increase. The company emphasized that this revenue was “100% organic and entirely from quantum.”

    Unlike IonQ, its growth is not being boosted by acquired non-quantum businesses.

    But “entirely quantum” is not the same as “revenue from commercial use of quantum computers.”

    Infleqtion develops the neutral-atom quantum computer “Sqale,” but it also has significant business lines in atomic clocks and quantum sensing.

    Moreover, government contracts play a large role in the company’s revenue. For example, Infleqtion has a $20 million (about ¥3.18 billion) contract with NASA to develop a spaceborne quantum gravity gradiometer. In Q1 2026 that NASA contract alone increased year-over-year revenue by about $4.0 million (about ¥640 million). The company has also derived revenue from the U.S. Department of Defense, the U.S. Army, the European Space Agency, and Japanese government projects.

    Infleqtion’s revenue is certainly “quantum,” but it includes

    quantum computing, quantum sensing, atomic clocks, and government R&D

    all together.

    Again, revenue from a quantum company should be distinguished from revenue specifically generated by commercial use of quantum computers.

    D-Wave — selling a single machine can change the financials

    D-Wave is one of the clearest examples of the current market structure.

    Q2 2026 revenue was $3.10 million (about ¥490 million), roughly flat year-over-year.

    However, first-half 2025 revenue was $18.10 million (about ¥2.88 billion), while first-half 2026 revenue was $5.90 million (about ¥940 million) — a 67% decline.

    The reason is simple: in the first half of 2025 D-Wave recorded a $13.70 million (about ¥2.18 billion) sale of a quantum computer. Selling one large quantum machine can materially swing annual or quarterly revenue for today’s quantum companies.

    D-Wave also offers a cloud service, Leap, as Quantum Computing as a Service (QCaaS).

    Of Leap’s QCaaS revenue in H1 2026, $1.30 million (about ¥210 million) was classified by D-Wave as revenue from “production applications,” representing 37.3% of total QCaaS revenue. In the prior-year period that figure was $0.30 million (about ¥48 million), or 9.8%.

    On the surface, those numbers suggest that production use of quantum computers is expanding. But this interpretation requires caution.

    Leap provides both direct QPU access and quantum-classical hybrid solvers. The internal workings of the latter are a black box to users: external observers cannot verify whether a QPU was actually used for a given calculation, or to what extent a QPU contributed to the result.

    What these figures do indicate is that D-Wave’s optimization services classified as “production” are being used. They do not definitively quantify the commercial value of the QPU itself.

    D-Wave’s current revenue model combines

    hardware sales + cloud usage + professional services

    with multiple models coexisting.

    Particularly, QCaaS “production” revenue should be read separately from metrics that would directly prove the QPU’s commercial usage.

    Rigetti — selling QPUs as well as offering cloud access

    Rigetti has also broadened how it generates revenue in recent years.

    Q2 2026 revenue was $5.10 million (about ¥810 million). The company attributes revenue growth to sales of the nine-qubit Novera quantum computing system and related products.

    Historically Rigetti provided quantum computing through its cloud QCS and via platforms such as Amazon Braket and Microsoft Azure Quantum.

    More recently, however, sales of QPUs and on-premises quantum systems directly to universities, research institutions, and HPC centers have become notable.

    For example, in Q1 2026 Rigetti sold and shipped a Novera QPU to the University of Saskatchewan in Canada. It is also delivering systems to India’s C-DAC and the Pittsburgh Supercomputing Center.

    What customers are buying in these cases is less a service that accelerates existing business processes and more research equipment to study and validate quantum computers themselves.

    More hardware sales will raise revenue, but that should not automatically be interpreted as equivalent to widespread industrial demand for quantum computation.

    Quantinuum — continuous cloud access as a different model

    Quantinuum presents a somewhat different case.

    Q2 2026 revenue was $8.00 million (about ¥1.27 billion), a 279% year-over-year increase.

    Notably, Quantinuum cites cloud business as the primary driver of its revenue growth.

    Unlike hardware sales or government contracts, cloud usage can build recurring revenue as long as customers keep using it. However, increased cloud usage does not necessarily mean those computations are generating economic value in customers’ production workflows — research, evaluation, and algorithm development are included.

    Still, how far a model that sells continued access to quantum compute capacity rather than the machines themselves can scale will be an important indicator of commercialization in the quantum industry.

    The same “revenue” can mean very different things

    Summarizing so far, current quantum-company revenue falls into at least the following categories.

    Type of revenueTypical examplesCharacteristics
    Sales of quantum computer hardwareD-Wave, RigettiSingle sales can be large, but revenue timing is project-dependent
    Cloud compute usageQuantinuum, D-Wave, IonQ, RigettiCan become recurring/stock-like if usage is sustained
    Government and R&D contractsInfleqtion, etc.A major source of demand in today’s quantum industry
    Quantum sensing and communicationsIonQ, InfleqtionMarkets outside quantum computing
    Professional services and joint researchVarious firmsPoCs, algorithm development, deployment support, etc.

    On the books, these are all simply revenue.

    But their implications for the industry’s maturity are quite different.

    For example, if a research institution buys a $20 million (about ¥3.18 billion) quantum computer, the manufacturer records about ¥3.18 billion in revenue.

    However, that does not necessarily mean that

    “the quantum computer was purchased because using it will generate more than ¥3.18 billion in economic value”

    It might have been bought as research equipment.

    It might be for national strategy reasons, to maintain domestic quantum computing capability.

    Or it might be an R&D investment to prepare for the future.

    Conversely, if a company pays monthly for quantum compute services and continuously reduces logistics or production costs as a result, the same revenue figure has a very different meaning.

    “Commercial customer” does not mean “a company using quantum computers in production”

    This point deserves special attention when assessing the current quantum industry.

    Quantum companies often report revenue from “commercial customers” or “commercial revenue.”

    D-Wave said 62.4% of Q2 2026 revenue came from commercial customers. IonQ also reports about 60% commercial revenue.

    From the headline numbers, one might conclude

    “Sixty percent of revenue comes from private companies using quantum computers in production.”

    But reading it that way today is almost certainly misleading.

    “Commercial customer” simply denotes a non-government, non-research institutional customer.

    Such a customer may be:

    • evaluating a quantum computer’s performance
    • running a proof of concept (PoC)
    • conducting joint research
    • developing algorithms to prepare for the future
    • experimentally using quantum computers on the cloud
    • purchasing quantum sensing or communications products rather than quantum compute

    Any of these activities can qualify a firm as a commercial customer.

    That is entirely different from saying a quantum computer is integrated into a company’s daily operational systems and continuously delivering superior economic value over classical methods.

    Current quantum computers still face substantial limitations in performance, error rates, problem size, and cost.

    At present, cases where one can externally verify that quantum computing has demonstrated clear economic advantage over classical computing and that companies are paying recurring fees for that reason are virtually non-existent. Although D-Wave and others have published multiple “production applications,” the degree to which QPUs contribute within quantum-classical hybrid processing or the associated economic superiority over traditional methods has not been made fully transparent.

    Therefore, when companies announce “commercial customers are increasing,”

    it is best not to interpret that as “quantum computers have begun to be commonly used in enterprise production.”

    Having commercial customers is not the same as proving quantum computers’ commercial value.

    Revenue growth is not the same as practical quantum computing

    Quantum companies are already generating revenue.

    But that revenue comprises hardware sales, government contracts, PoCs, joint research, cloud usage, sensing, and communications.

    What quantum companies are earning and whether quantum computers have become a technology that earns money in production are still not the same thing.

    To assess the current state of commercialization, one should look less at headline revenue and more at who is paying, for what, and whether the payments are ongoing.

    Related articles

  • running a proof of concept (PoC)
  • conducting joint research
  • developing algorithms to prepare for the future
  • experimentally using quantum computers on the cloud
  • purchasing quantum sensing or communications products rather than quantum compute
  • Any of these activities can qualify a firm as a commercial customer.

    That is entirely different from saying a quantum computer is integrated into a company’s daily operational systems and continuously delivering superior economic value over classical methods.

    Current quantum computers still face substantial limitations in performance, error rates, problem size, and cost.

    At present, cases where one can externally verify that quantum computing has demonstrated clear economic advantage over classical computing and that companies are paying recurring fees for that reason are virtually non-existent. Although D-Wave and others have published multiple “production applications,” the degree to which QPUs contribute within quantum-classical hybrid processing or the associated economic superiority over traditional methods has not been made fully transparent.

    Therefore, when companies announce “commercial customers are increasing,”

    it is best not to interpret that as “quantum computers have begun to be commonly used in enterprise production.”

    Having commercial customers is not the same as proving quantum computers’ commercial value.

    Revenue growth is not the same as practical quantum computing

    Quantum companies are already generating revenue.

    But that revenue comprises hardware sales, government contracts, PoCs, joint research, cloud usage, sensing, and communications.

    What quantum companies are earning and whether quantum computers have become a technology that earns money in production are still not the same thing.

    To assess the current state of commercialization, one should look less at headline revenue and more at who is paying, for what, and whether the payments are ongoing.

    Related articles

  • evaluating a quantum computer’s performance
  • running a proof of concept (PoC)
  • conducting joint research
  • developing algorithms to prepare for the future
  • experimentally using quantum computers on the cloud
  • purchasing quantum sensing or communications products rather than quantum compute
  • Any of these activities can qualify a firm as a commercial customer.

    That is entirely different from saying a quantum computer is integrated into a company’s daily operational systems and continuously delivering superior economic value over classical methods.

    Current quantum computers still face substantial limitations in performance, error rates, problem size, and cost.

    At present, cases where one can externally verify that quantum computing has demonstrated clear economic advantage over classical computing and that companies are paying recurring fees for that reason are virtually non-existent. Although D-Wave and others have published multiple “production applications,” the degree to which QPUs contribute within quantum-classical hybrid processing or the associated economic superiority over traditional methods has not been made fully transparent.

    Therefore, when companies announce “commercial customers are increasing,”

    it is best not to interpret that as “quantum computers have begun to be commonly used in enterprise production.”

    Having commercial customers is not the same as proving quantum computers’ commercial value.

    Revenue growth is not the same as practical quantum computing

    Quantum companies are already generating revenue.

    But that revenue comprises hardware sales, government contracts, PoCs, joint research, cloud usage, sensing, and communications.

    What quantum companies are earning and whether quantum computers have become a technology that earns money in production are still not the same thing.

    To assess the current state of commercialization, one should look less at headline revenue and more at who is paying, for what, and whether the payments are ongoing.

    Related articles

    • evaluating a quantum computer’s performance
    • running a proof of concept (PoC)
    • conducting joint research
    • developing algorithms to prepare for the future
    • experimentally using quantum computers on the cloud
    • purchasing quantum sensing or communications products rather than quantum compute

    Any of these activities can qualify a firm as a commercial customer.

    That is entirely different from saying a quantum computer is integrated into a company’s daily operational systems and continuously delivering superior economic value over classical methods.

    Current quantum computers still face substantial limitations in performance, error rates, problem size, and cost.

    At present, cases where one can externally verify that quantum computing has demonstrated clear economic advantage over classical computing and that companies are paying recurring fees for that reason are virtually non-existent. Although D-Wave and others have published multiple “production applications,” the degree to which QPUs contribute within quantum-classical hybrid processing or the associated economic superiority over traditional methods has not been made fully transparent.

    Therefore, when companies announce “commercial customers are increasing,”

    it is best not to interpret that as “quantum computers have begun to be commonly used in enterprise production.”

    Having commercial customers is not the same as proving quantum computers’ commercial value.

    Revenue growth is not the same as practical quantum computing

    Quantum companies are already generating revenue.

    But that revenue comprises hardware sales, government contracts, PoCs, joint research, cloud usage, sensing, and communications.

    What quantum companies are earning and whether quantum computers have become a technology that earns money in production are still not the same thing.

    To assess the current state of commercialization, one should look less at headline revenue and more at who is paying, for what, and whether the payments are ongoing.

    Related articles

    • evaluating a quantum computer’s performance
    • running a proof of concept (PoC)
    • conducting joint research
    • developing algorithms to prepare for the future
    • experimentally using quantum computers on the cloud
    • purchasing quantum sensing or communications products rather than quantum compute

    Any of these activities can qualify a firm as a commercial customer.

    That is entirely different from saying a quantum computer is integrated into a company’s daily operational systems and continuously delivering superior economic value over classical methods.

    Current quantum computers still face substantial limitations in performance, error rates, problem size, and cost.

    At present, cases where one can externally verify that quantum computing has demonstrated clear economic advantage over classical computing and that companies are paying recurring fees for that reason are virtually non-existent. Although D-Wave and others have published multiple “production applications,” the degree to which QPUs contribute within quantum-classical hybrid processing or the associated economic superiority over traditional methods has not been made fully transparent.

    Therefore, when companies announce “commercial customers are increasing,”

    it is best not to interpret that as “quantum computers have begun to be commonly used in enterprise production.”

    Having commercial customers is not the same as proving quantum computers’ commercial value.

    Revenue growth is not the same as practical quantum computing

    Quantum companies are already generating revenue.

    But that revenue comprises hardware sales, government contracts, PoCs, joint research, cloud usage, sensing, and communications.

    What quantum companies are earning and whether quantum computers have become a technology that earns money in production are still not the same thing.

    To assess the current state of commercialization, one should look less at headline revenue and more at who is paying, for what, and whether the payments are ongoing.

    Related articles

    Quantum companies’ revenues have started to rise.

    In Q2 2026, IonQ reported $80.10 million (about ¥12.7 billion), Infleqtion reported $13.50 million (about ¥2.1 billion), Quantinuum reported $8.00 million (about ¥1.27 billion), Rigetti Computing reported $5.10 million (about ¥810 million), and D-Wave Quantum reported $3.10 million (about ¥490 million) in revenue.

    IonQ grew 287% year over year, Quantinuum 279%, and Infleqtion 157%. Looking at the raw numbers, it can appear that the quantum-computing market is rapidly commercializing and monetizing.

    However, what exactly are quantum companies selling to generate these revenues?

    Is it quantum compute time? Physical hardware? Government R&D contracts? Quantum sensing or communications?

    Tracing the current revenue structures of major quantum firms shows that the phrase “commercialization of the quantum market” often contains very different realities than the commonly imagined ‘‘commercialization of quantum computers’’.

    *Currency conversions are approximate, using an exchange rate of $1 ≈ ¥159 as of August 20, 2026.

    IonQ — the $12.7 billion quarter is not purely “quantum compute fees”

    IonQ stands out in Q2 2026.

    Revenue was $80.10 million (about ¥12.7 billion), roughly four times year-over-year and far above other pure-play quantum companies.

    However, it would be inaccurate to interpret this number as “IonQ’s quantum computers were used for about ¥12.7 billion worth of compute.”

    IonQ is no longer a company that only does quantum computing.

    Through successive acquisitions, the company has expanded into quantum networking, quantum security, sensing, photonics, and space-related technologies.

    For Q2 the company said roughly 25% of revenue came from customers using multiple product categories. About 60% of revenue was classified as “commercial,” but the scope of that commercial business has broadened significantly compared with the past.

    The company attributes revenue growth to Tempo quantum computer deployments and cloud usage, as well as demand across its broader “quantum platform.”

    In other words, IonQ’s current revenue should be viewed as

    quantum computing + quantum networking + security + sensing + other quantum-related businesses

    combined.

    While revenue is clearly growing rapidly, that growth alone no longer lets you infer the commercial demand for quantum computers themselves.

    Infleqtion — all quantum, but government contracts remain central

    Infleqtion is also interesting.

    Q2 2026 revenue was $13.50 million (about ¥2.1 billion), a 157% year-over-year increase. The company emphasized that this revenue was “100% organic and entirely from quantum.”

    Unlike IonQ, its growth is not being boosted by acquired non-quantum businesses.

    But “entirely quantum” is not the same as “revenue from commercial use of quantum computers.”

    Infleqtion develops the neutral-atom quantum computer “Sqale,” but it also has significant business lines in atomic clocks and quantum sensing.

    Moreover, government contracts play a large role in the company’s revenue. For example, Infleqtion has a $20 million (about ¥3.18 billion) contract with NASA to develop a spaceborne quantum gravity gradiometer. In Q1 2026 that NASA contract alone increased year-over-year revenue by about $4.0 million (about ¥640 million). The company has also derived revenue from the U.S. Department of Defense, the U.S. Army, the European Space Agency, and Japanese government projects.

    Infleqtion’s revenue is certainly “quantum,” but it includes

    quantum computing, quantum sensing, atomic clocks, and government R&D

    all together.

    Again, revenue from a quantum company should be distinguished from revenue specifically generated by commercial use of quantum computers.

    D-Wave — selling a single machine can change the financials

    D-Wave is one of the clearest examples of the current market structure.

    Q2 2026 revenue was $3.10 million (about ¥490 million), roughly flat year-over-year.

    However, first-half 2025 revenue was $18.10 million (about ¥2.88 billion), while first-half 2026 revenue was $5.90 million (about ¥940 million) — a 67% decline.

    The reason is simple: in the first half of 2025 D-Wave recorded a $13.70 million (about ¥2.18 billion) sale of a quantum computer. Selling one large quantum machine can materially swing annual or quarterly revenue for today’s quantum companies.

    D-Wave also offers a cloud service, Leap, as Quantum Computing as a Service (QCaaS).

    Of Leap’s QCaaS revenue in H1 2026, $1.30 million (about ¥210 million) was classified by D-Wave as revenue from “production applications,” representing 37.3% of total QCaaS revenue. In the prior-year period that figure was $0.30 million (about ¥48 million), or 9.8%.

    On the surface, those numbers suggest that production use of quantum computers is expanding. But this interpretation requires caution.

    Leap provides both direct QPU access and quantum-classical hybrid solvers. The internal workings of the latter are a black box to users: external observers cannot verify whether a QPU was actually used for a given calculation, or to what extent a QPU contributed to the result.

    What these figures do indicate is that D-Wave’s optimization services classified as “production” are being used. They do not definitively quantify the commercial value of the QPU itself.

    D-Wave’s current revenue model combines

    hardware sales + cloud usage + professional services

    with multiple models coexisting.

    Particularly, QCaaS “production” revenue should be read separately from metrics that would directly prove the QPU’s commercial usage.

    Rigetti — selling QPUs as well as offering cloud access

    Rigetti has also broadened how it generates revenue in recent years.

    Q2 2026 revenue was $5.10 million (about ¥810 million). The company attributes revenue growth to sales of the nine-qubit Novera quantum computing system and related products.

    Historically Rigetti provided quantum computing through its cloud QCS and via platforms such as Amazon Braket and Microsoft Azure Quantum.

    More recently, however, sales of QPUs and on-premises quantum systems directly to universities, research institutions, and HPC centers have become notable.

    For example, in Q1 2026 Rigetti sold and shipped a Novera QPU to the University of Saskatchewan in Canada. It is also delivering systems to India’s C-DAC and the Pittsburgh Supercomputing Center.

    What customers are buying in these cases is less a service that accelerates existing business processes and more research equipment to study and validate quantum computers themselves.

    More hardware sales will raise revenue, but that should not automatically be interpreted as equivalent to widespread industrial demand for quantum computation.

    Quantinuum — continuous cloud access as a different model

    Quantinuum presents a somewhat different case.

    Q2 2026 revenue was $8.00 million (about ¥1.27 billion), a 279% year-over-year increase.

    Notably, Quantinuum cites cloud business as the primary driver of its revenue growth.

    Unlike hardware sales or government contracts, cloud usage can build recurring revenue as long as customers keep using it. However, increased cloud usage does not necessarily mean those computations are generating economic value in customers’ production workflows — research, evaluation, and algorithm development are included.

    Still, how far a model that sells continued access to quantum compute capacity rather than the machines themselves can scale will be an important indicator of commercialization in the quantum industry.

    The same “revenue” can mean very different things

    Summarizing so far, current quantum-company revenue falls into at least the following categories.

    Type of revenueTypical examplesCharacteristics
    Sales of quantum computer hardwareD-Wave, RigettiSingle sales can be large, but revenue timing is project-dependent
    Cloud compute usageQuantinuum, D-Wave, IonQ, RigettiCan become recurring/stock-like if usage is sustained
    Government and R&D contractsInfleqtion, etc.A major source of demand in today’s quantum industry
    Quantum sensing and communicationsIonQ, InfleqtionMarkets outside quantum computing
    Professional services and joint researchVarious firmsPoCs, algorithm development, deployment support, etc.

    On the books, these are all simply revenue.

    But their implications for the industry’s maturity are quite different.

    For example, if a research institution buys a $20 million (about ¥3.18 billion) quantum computer, the manufacturer records about ¥3.18 billion in revenue.

    However, that does not necessarily mean that

    “the quantum computer was purchased because using it will generate more than ¥3.18 billion in economic value”

    It might have been bought as research equipment.

    It might be for national strategy reasons, to maintain domestic quantum computing capability.

    Or it might be an R&D investment to prepare for the future.

    Conversely, if a company pays monthly for quantum compute services and continuously reduces logistics or production costs as a result, the same revenue figure has a very different meaning.

    “Commercial customer” does not mean “a company using quantum computers in production”

    This point deserves special attention when assessing the current quantum industry.

    Quantum companies often report revenue from “commercial customers” or “commercial revenue.”

    D-Wave said 62.4% of Q2 2026 revenue came from commercial customers. IonQ also reports about 60% commercial revenue.

    From the headline numbers, one might conclude

    “Sixty percent of revenue comes from private companies using quantum computers in production.”

    But reading it that way today is almost certainly misleading.

    “Commercial customer” simply denotes a non-government, non-research institutional customer.

    Such a customer may be:

    • evaluating a quantum computer’s performance
    • running a proof of concept (PoC)
    • conducting joint research
    • developing algorithms to prepare for the future
    • experimentally using quantum computers on the cloud
    • purchasing quantum sensing or communications products rather than quantum compute

    Any of these activities can qualify a firm as a commercial customer.

    That is entirely different from saying a quantum computer is integrated into a company’s daily operational systems and continuously delivering superior economic value over classical methods.

    Current quantum computers still face substantial limitations in performance, error rates, problem size, and cost.

    At present, cases where one can externally verify that quantum computing has demonstrated clear economic advantage over classical computing and that companies are paying recurring fees for that reason are virtually non-existent. Although D-Wave and others have published multiple “production applications,” the degree to which QPUs contribute within quantum-classical hybrid processing or the associated economic superiority over traditional methods has not been made fully transparent.

    Therefore, when companies announce “commercial customers are increasing,”

    it is best not to interpret that as “quantum computers have begun to be commonly used in enterprise production.”

    Having commercial customers is not the same as proving quantum computers’ commercial value.

    Revenue growth is not the same as practical quantum computing

    Quantum companies are already generating revenue.

    But that revenue comprises hardware sales, government contracts, PoCs, joint research, cloud usage, sensing, and communications.

    What quantum companies are earning and whether quantum computers have become a technology that earns money in production are still not the same thing.

    To assess the current state of commercialization, one should look less at headline revenue and more at who is paying, for what, and whether the payments are ongoing.

    Related articles

  • IonQ, Q2 2026 revenue up 287% year over year; raises full-year guidance
  • Infleqtion corrects Q2 2026 revenue to $13.5M; raises full-year outlook
  • Quantinuum Q2 2026 revenue up 279% year over year; announces Helios logical fidelity
  • Rigetti Q2 2026 revenue $5.1M; publishes performance of 108-qubit machine
  • D-Wave Q2 2026 revenue $3.1M; first-half bookings increased more than twelvefold
  • running a proof of concept (PoC)
  • conducting joint research
  • developing algorithms to prepare for the future
  • experimentally using quantum computers on the cloud
  • purchasing quantum sensing or communications products rather than quantum compute
  • Any of these activities can qualify a firm as a commercial customer.

    That is entirely different from saying a quantum computer is integrated into a company’s daily operational systems and continuously delivering superior economic value over classical methods.

    Current quantum computers still face substantial limitations in performance, error rates, problem size, and cost.

    At present, cases where one can externally verify that quantum computing has demonstrated clear economic advantage over classical computing and that companies are paying recurring fees for that reason are virtually non-existent. Although D-Wave and others have published multiple “production applications,” the degree to which QPUs contribute within quantum-classical hybrid processing or the associated economic superiority over traditional methods has not been made fully transparent.

    Therefore, when companies announce “commercial customers are increasing,”

    it is best not to interpret that as “quantum computers have begun to be commonly used in enterprise production.”

    Having commercial customers is not the same as proving quantum computers’ commercial value.

    Revenue growth is not the same as practical quantum computing

    Quantum companies are already generating revenue.

    But that revenue comprises hardware sales, government contracts, PoCs, joint research, cloud usage, sensing, and communications.

    What quantum companies are earning and whether quantum computers have become a technology that earns money in production are still not the same thing.

    To assess the current state of commercialization, one should look less at headline revenue and more at who is paying, for what, and whether the payments are ongoing.

    Related articles

  • evaluating a quantum computer’s performance
  • running a proof of concept (PoC)
  • conducting joint research
  • developing algorithms to prepare for the future
  • experimentally using quantum computers on the cloud
  • purchasing quantum sensing or communications products rather than quantum compute
  • Any of these activities can qualify a firm as a commercial customer.

    That is entirely different from saying a quantum computer is integrated into a company’s daily operational systems and continuously delivering superior economic value over classical methods.

    Current quantum computers still face substantial limitations in performance, error rates, problem size, and cost.

    At present, cases where one can externally verify that quantum computing has demonstrated clear economic advantage over classical computing and that companies are paying recurring fees for that reason are virtually non-existent. Although D-Wave and others have published multiple “production applications,” the degree to which QPUs contribute within quantum-classical hybrid processing or the associated economic superiority over traditional methods has not been made fully transparent.

    Therefore, when companies announce “commercial customers are increasing,”

    it is best not to interpret that as “quantum computers have begun to be commonly used in enterprise production.”

    Having commercial customers is not the same as proving quantum computers’ commercial value.

    Revenue growth is not the same as practical quantum computing

    Quantum companies are already generating revenue.

    But that revenue comprises hardware sales, government contracts, PoCs, joint research, cloud usage, sensing, and communications.

    What quantum companies are earning and whether quantum computers have become a technology that earns money in production are still not the same thing.

    To assess the current state of commercialization, one should look less at headline revenue and more at who is paying, for what, and whether the payments are ongoing.

    Related articles

    • evaluating a quantum computer’s performance
    • running a proof of concept (PoC)
    • conducting joint research
    • developing algorithms to prepare for the future
    • experimentally using quantum computers on the cloud
    • purchasing quantum sensing or communications products rather than quantum compute

    Any of these activities can qualify a firm as a commercial customer.

    That is entirely different from saying a quantum computer is integrated into a company’s daily operational systems and continuously delivering superior economic value over classical methods.

    Current quantum computers still face substantial limitations in performance, error rates, problem size, and cost.

    At present, cases where one can externally verify that quantum computing has demonstrated clear economic advantage over classical computing and that companies are paying recurring fees for that reason are virtually non-existent. Although D-Wave and others have published multiple “production applications,” the degree to which QPUs contribute within quantum-classical hybrid processing or the associated economic superiority over traditional methods has not been made fully transparent.

    Therefore, when companies announce “commercial customers are increasing,”

    it is best not to interpret that as “quantum computers have begun to be commonly used in enterprise production.”

    Having commercial customers is not the same as proving quantum computers’ commercial value.

    Revenue growth is not the same as practical quantum computing

    Quantum companies are already generating revenue.

    But that revenue comprises hardware sales, government contracts, PoCs, joint research, cloud usage, sensing, and communications.

    What quantum companies are earning and whether quantum computers have become a technology that earns money in production are still not the same thing.

    To assess the current state of commercialization, one should look less at headline revenue and more at who is paying, for what, and whether the payments are ongoing.

    Related articles

    • evaluating a quantum computer’s performance
    • running a proof of concept (PoC)
    • conducting joint research
    • developing algorithms to prepare for the future
    • experimentally using quantum computers on the cloud
    • purchasing quantum sensing or communications products rather than quantum compute

    Any of these activities can qualify a firm as a commercial customer.

    That is entirely different from saying a quantum computer is integrated into a company’s daily operational systems and continuously delivering superior economic value over classical methods.

    Current quantum computers still face substantial limitations in performance, error rates, problem size, and cost.

    At present, cases where one can externally verify that quantum computing has demonstrated clear economic advantage over classical computing and that companies are paying recurring fees for that reason are virtually non-existent. Although D-Wave and others have published multiple “production applications,” the degree to which QPUs contribute within quantum-classical hybrid processing or the associated economic superiority over traditional methods has not been made fully transparent.

    Therefore, when companies announce “commercial customers are increasing,”

    it is best not to interpret that as “quantum computers have begun to be commonly used in enterprise production.”

    Having commercial customers is not the same as proving quantum computers’ commercial value.

    Revenue growth is not the same as practical quantum computing

    Quantum companies are already generating revenue.

    But that revenue comprises hardware sales, government contracts, PoCs, joint research, cloud usage, sensing, and communications.

    What quantum companies are earning and whether quantum computers have become a technology that earns money in production are still not the same thing.

    To assess the current state of commercialization, one should look less at headline revenue and more at who is paying, for what, and whether the payments are ongoing.

    Related articles

    Quantum companies’ revenues have started to rise.

    In Q2 2026, IonQ reported $80.10 million (about ¥12.7 billion), Infleqtion reported $13.50 million (about ¥2.1 billion), Quantinuum reported $8.00 million (about ¥1.27 billion), Rigetti Computing reported $5.10 million (about ¥810 million), and D-Wave Quantum reported $3.10 million (about ¥490 million) in revenue.

    IonQ grew 287% year over year, Quantinuum 279%, and Infleqtion 157%. Looking at the raw numbers, it can appear that the quantum-computing market is rapidly commercializing and monetizing.

    However, what exactly are quantum companies selling to generate these revenues?

    Is it quantum compute time? Physical hardware? Government R&D contracts? Quantum sensing or communications?

    Tracing the current revenue structures of major quantum firms shows that the phrase “commercialization of the quantum market” often contains very different realities than the commonly imagined ‘‘commercialization of quantum computers’’.

    *Currency conversions are approximate, using an exchange rate of $1 ≈ ¥159 as of August 20, 2026.

    IonQ — the $12.7 billion quarter is not purely “quantum compute fees”

    IonQ stands out in Q2 2026.

    Revenue was $80.10 million (about ¥12.7 billion), roughly four times year-over-year and far above other pure-play quantum companies.

    However, it would be inaccurate to interpret this number as “IonQ’s quantum computers were used for about ¥12.7 billion worth of compute.”

    IonQ is no longer a company that only does quantum computing.

    Through successive acquisitions, the company has expanded into quantum networking, quantum security, sensing, photonics, and space-related technologies.

    For Q2 the company said roughly 25% of revenue came from customers using multiple product categories. About 60% of revenue was classified as “commercial,” but the scope of that commercial business has broadened significantly compared with the past.

    The company attributes revenue growth to Tempo quantum computer deployments and cloud usage, as well as demand across its broader “quantum platform.”

    In other words, IonQ’s current revenue should be viewed as

    quantum computing + quantum networking + security + sensing + other quantum-related businesses

    combined.

    While revenue is clearly growing rapidly, that growth alone no longer lets you infer the commercial demand for quantum computers themselves.

    Infleqtion — all quantum, but government contracts remain central

    Infleqtion is also interesting.

    Q2 2026 revenue was $13.50 million (about ¥2.1 billion), a 157% year-over-year increase. The company emphasized that this revenue was “100% organic and entirely from quantum.”

    Unlike IonQ, its growth is not being boosted by acquired non-quantum businesses.

    But “entirely quantum” is not the same as “revenue from commercial use of quantum computers.”

    Infleqtion develops the neutral-atom quantum computer “Sqale,” but it also has significant business lines in atomic clocks and quantum sensing.

    Moreover, government contracts play a large role in the company’s revenue. For example, Infleqtion has a $20 million (about ¥3.18 billion) contract with NASA to develop a spaceborne quantum gravity gradiometer. In Q1 2026 that NASA contract alone increased year-over-year revenue by about $4.0 million (about ¥640 million). The company has also derived revenue from the U.S. Department of Defense, the U.S. Army, the European Space Agency, and Japanese government projects.

    Infleqtion’s revenue is certainly “quantum,” but it includes

    quantum computing, quantum sensing, atomic clocks, and government R&D

    all together.

    Again, revenue from a quantum company should be distinguished from revenue specifically generated by commercial use of quantum computers.

    D-Wave — selling a single machine can change the financials

    D-Wave is one of the clearest examples of the current market structure.

    Q2 2026 revenue was $3.10 million (about ¥490 million), roughly flat year-over-year.

    However, first-half 2025 revenue was $18.10 million (about ¥2.88 billion), while first-half 2026 revenue was $5.90 million (about ¥940 million) — a 67% decline.

    The reason is simple: in the first half of 2025 D-Wave recorded a $13.70 million (about ¥2.18 billion) sale of a quantum computer. Selling one large quantum machine can materially swing annual or quarterly revenue for today’s quantum companies.

    D-Wave also offers a cloud service, Leap, as Quantum Computing as a Service (QCaaS).

    Of Leap’s QCaaS revenue in H1 2026, $1.30 million (about ¥210 million) was classified by D-Wave as revenue from “production applications,” representing 37.3% of total QCaaS revenue. In the prior-year period that figure was $0.30 million (about ¥48 million), or 9.8%.

    On the surface, those numbers suggest that production use of quantum computers is expanding. But this interpretation requires caution.

    Leap provides both direct QPU access and quantum-classical hybrid solvers. The internal workings of the latter are a black box to users: external observers cannot verify whether a QPU was actually used for a given calculation, or to what extent a QPU contributed to the result.

    What these figures do indicate is that D-Wave’s optimization services classified as “production” are being used. They do not definitively quantify the commercial value of the QPU itself.

    D-Wave’s current revenue model combines

    hardware sales + cloud usage + professional services

    with multiple models coexisting.

    Particularly, QCaaS “production” revenue should be read separately from metrics that would directly prove the QPU’s commercial usage.

    Rigetti — selling QPUs as well as offering cloud access

    Rigetti has also broadened how it generates revenue in recent years.

    Q2 2026 revenue was $5.10 million (about ¥810 million). The company attributes revenue growth to sales of the nine-qubit Novera quantum computing system and related products.

    Historically Rigetti provided quantum computing through its cloud QCS and via platforms such as Amazon Braket and Microsoft Azure Quantum.

    More recently, however, sales of QPUs and on-premises quantum systems directly to universities, research institutions, and HPC centers have become notable.

    For example, in Q1 2026 Rigetti sold and shipped a Novera QPU to the University of Saskatchewan in Canada. It is also delivering systems to India’s C-DAC and the Pittsburgh Supercomputing Center.

    What customers are buying in these cases is less a service that accelerates existing business processes and more research equipment to study and validate quantum computers themselves.

    More hardware sales will raise revenue, but that should not automatically be interpreted as equivalent to widespread industrial demand for quantum computation.

    Quantinuum — continuous cloud access as a different model

    Quantinuum presents a somewhat different case.

    Q2 2026 revenue was $8.00 million (about ¥1.27 billion), a 279% year-over-year increase.

    Notably, Quantinuum cites cloud business as the primary driver of its revenue growth.

    Unlike hardware sales or government contracts, cloud usage can build recurring revenue as long as customers keep using it. However, increased cloud usage does not necessarily mean those computations are generating economic value in customers’ production workflows — research, evaluation, and algorithm development are included.

    Still, how far a model that sells continued access to quantum compute capacity rather than the machines themselves can scale will be an important indicator of commercialization in the quantum industry.

    The same “revenue” can mean very different things

    Summarizing so far, current quantum-company revenue falls into at least the following categories.

    Type of revenueTypical examplesCharacteristics
    Sales of quantum computer hardwareD-Wave, RigettiSingle sales can be large, but revenue timing is project-dependent
    Cloud compute usageQuantinuum, D-Wave, IonQ, RigettiCan become recurring/stock-like if usage is sustained
    Government and R&D contractsInfleqtion, etc.A major source of demand in today’s quantum industry
    Quantum sensing and communicationsIonQ, InfleqtionMarkets outside quantum computing
    Professional services and joint researchVarious firmsPoCs, algorithm development, deployment support, etc.

    On the books, these are all simply revenue.

    But their implications for the industry’s maturity are quite different.

    For example, if a research institution buys a $20 million (about ¥3.18 billion) quantum computer, the manufacturer records about ¥3.18 billion in revenue.

    However, that does not necessarily mean that

    “the quantum computer was purchased because using it will generate more than ¥3.18 billion in economic value”

    It might have been bought as research equipment.

    It might be for national strategy reasons, to maintain domestic quantum computing capability.

    Or it might be an R&D investment to prepare for the future.

    Conversely, if a company pays monthly for quantum compute services and continuously reduces logistics or production costs as a result, the same revenue figure has a very different meaning.

    “Commercial customer” does not mean “a company using quantum computers in production”

    This point deserves special attention when assessing the current quantum industry.

    Quantum companies often report revenue from “commercial customers” or “commercial revenue.”

    D-Wave said 62.4% of Q2 2026 revenue came from commercial customers. IonQ also reports about 60% commercial revenue.

    From the headline numbers, one might conclude

    “Sixty percent of revenue comes from private companies using quantum computers in production.”

    But reading it that way today is almost certainly misleading.

    “Commercial customer” simply denotes a non-government, non-research institutional customer.

    Such a customer may be:

    • evaluating a quantum computer’s performance
    • running a proof of concept (PoC)
    • conducting joint research
    • developing algorithms to prepare for the future
    • experimentally using quantum computers on the cloud
    • purchasing quantum sensing or communications products rather than quantum compute

    Any of these activities can qualify a firm as a commercial customer.

    That is entirely different from saying a quantum computer is integrated into a company’s daily operational systems and continuously delivering superior economic value over classical methods.

    Current quantum computers still face substantial limitations in performance, error rates, problem size, and cost.

    At present, cases where one can externally verify that quantum computing has demonstrated clear economic advantage over classical computing and that companies are paying recurring fees for that reason are virtually non-existent. Although D-Wave and others have published multiple “production applications,” the degree to which QPUs contribute within quantum-classical hybrid processing or the associated economic superiority over traditional methods has not been made fully transparent.

    Therefore, when companies announce “commercial customers are increasing,”

    it is best not to interpret that as “quantum computers have begun to be commonly used in enterprise production.”

    Having commercial customers is not the same as proving quantum computers’ commercial value.

    Revenue growth is not the same as practical quantum computing

    Quantum companies are already generating revenue.

    But that revenue comprises hardware sales, government contracts, PoCs, joint research, cloud usage, sensing, and communications.

    What quantum companies are earning and whether quantum computers have become a technology that earns money in production are still not the same thing.

    To assess the current state of commercialization, one should look less at headline revenue and more at who is paying, for what, and whether the payments are ongoing.

    Related articles

  • running a proof of concept (PoC)
  • conducting joint research
  • developing algorithms to prepare for the future
  • experimentally using quantum computers on the cloud
  • purchasing quantum sensing or communications products rather than quantum compute
  • Any of these activities can qualify a firm as a commercial customer.

    That is entirely different from saying a quantum computer is integrated into a company’s daily operational systems and continuously delivering superior economic value over classical methods.

    Current quantum computers still face substantial limitations in performance, error rates, problem size, and cost.

    At present, cases where one can externally verify that quantum computing has demonstrated clear economic advantage over classical computing and that companies are paying recurring fees for that reason are virtually non-existent. Although D-Wave and others have published multiple “production applications,” the degree to which QPUs contribute within quantum-classical hybrid processing or the associated economic superiority over traditional methods has not been made fully transparent.

    Therefore, when companies announce “commercial customers are increasing,”

    it is best not to interpret that as “quantum computers have begun to be commonly used in enterprise production.”

    Having commercial customers is not the same as proving quantum computers’ commercial value.

    Revenue growth is not the same as practical quantum computing

    Quantum companies are already generating revenue.

    But that revenue comprises hardware sales, government contracts, PoCs, joint research, cloud usage, sensing, and communications.

    What quantum companies are earning and whether quantum computers have become a technology that earns money in production are still not the same thing.

    To assess the current state of commercialization, one should look less at headline revenue and more at who is paying, for what, and whether the payments are ongoing.

    Related articles

  • evaluating a quantum computer’s performance
  • running a proof of concept (PoC)
  • conducting joint research
  • developing algorithms to prepare for the future
  • experimentally using quantum computers on the cloud
  • purchasing quantum sensing or communications products rather than quantum compute
  • Any of these activities can qualify a firm as a commercial customer.

    That is entirely different from saying a quantum computer is integrated into a company’s daily operational systems and continuously delivering superior economic value over classical methods.

    Current quantum computers still face substantial limitations in performance, error rates, problem size, and cost.

    At present, cases where one can externally verify that quantum computing has demonstrated clear economic advantage over classical computing and that companies are paying recurring fees for that reason are virtually non-existent. Although D-Wave and others have published multiple “production applications,” the degree to which QPUs contribute within quantum-classical hybrid processing or the associated economic superiority over traditional methods has not been made fully transparent.

    Therefore, when companies announce “commercial customers are increasing,”

    it is best not to interpret that as “quantum computers have begun to be commonly used in enterprise production.”

    Having commercial customers is not the same as proving quantum computers’ commercial value.

    Revenue growth is not the same as practical quantum computing

    Quantum companies are already generating revenue.

    But that revenue comprises hardware sales, government contracts, PoCs, joint research, cloud usage, sensing, and communications.

    What quantum companies are earning and whether quantum computers have become a technology that earns money in production are still not the same thing.

    To assess the current state of commercialization, one should look less at headline revenue and more at who is paying, for what, and whether the payments are ongoing.

    Related articles

    • evaluating a quantum computer’s performance
    • running a proof of concept (PoC)
    • conducting joint research
    • developing algorithms to prepare for the future
    • experimentally using quantum computers on the cloud
    • purchasing quantum sensing or communications products rather than quantum compute

    Any of these activities can qualify a firm as a commercial customer.

    That is entirely different from saying a quantum computer is integrated into a company’s daily operational systems and continuously delivering superior economic value over classical methods.

    Current quantum computers still face substantial limitations in performance, error rates, problem size, and cost.

    At present, cases where one can externally verify that quantum computing has demonstrated clear economic advantage over classical computing and that companies are paying recurring fees for that reason are virtually non-existent. Although D-Wave and others have published multiple “production applications,” the degree to which QPUs contribute within quantum-classical hybrid processing or the associated economic superiority over traditional methods has not been made fully transparent.

    Therefore, when companies announce “commercial customers are increasing,”

    it is best not to interpret that as “quantum computers have begun to be commonly used in enterprise production.”

    Having commercial customers is not the same as proving quantum computers’ commercial value.

    Revenue growth is not the same as practical quantum computing

    Quantum companies are already generating revenue.

    But that revenue comprises hardware sales, government contracts, PoCs, joint research, cloud usage, sensing, and communications.

    What quantum companies are earning and whether quantum computers have become a technology that earns money in production are still not the same thing.

    To assess the current state of commercialization, one should look less at headline revenue and more at who is paying, for what, and whether the payments are ongoing.

    Related articles

    • evaluating a quantum computer’s performance
    • running a proof of concept (PoC)
    • conducting joint research
    • developing algorithms to prepare for the future
    • experimentally using quantum computers on the cloud
    • purchasing quantum sensing or communications products rather than quantum compute

    Any of these activities can qualify a firm as a commercial customer.

    That is entirely different from saying a quantum computer is integrated into a company’s daily operational systems and continuously delivering superior economic value over classical methods.

    Current quantum computers still face substantial limitations in performance, error rates, problem size, and cost.

    At present, cases where one can externally verify that quantum computing has demonstrated clear economic advantage over classical computing and that companies are paying recurring fees for that reason are virtually non-existent. Although D-Wave and others have published multiple “production applications,” the degree to which QPUs contribute within quantum-classical hybrid processing or the associated economic superiority over traditional methods has not been made fully transparent.

    Therefore, when companies announce “commercial customers are increasing,”

    it is best not to interpret that as “quantum computers have begun to be commonly used in enterprise production.”

    Having commercial customers is not the same as proving quantum computers’ commercial value.

    Revenue growth is not the same as practical quantum computing

    Quantum companies are already generating revenue.

    But that revenue comprises hardware sales, government contracts, PoCs, joint research, cloud usage, sensing, and communications.

    What quantum companies are earning and whether quantum computers have become a technology that earns money in production are still not the same thing.

    To assess the current state of commercialization, one should look less at headline revenue and more at who is paying, for what, and whether the payments are ongoing.

    Related articles

    Quantum companies’ revenues have started to rise.

    In Q2 2026, IonQ reported $80.10 million (about ¥12.7 billion), Infleqtion reported $13.50 million (about ¥2.1 billion), Quantinuum reported $8.00 million (about ¥1.27 billion), Rigetti Computing reported $5.10 million (about ¥810 million), and D-Wave Quantum reported $3.10 million (about ¥490 million) in revenue.

    IonQ grew 287% year over year, Quantinuum 279%, and Infleqtion 157%. Looking at the raw numbers, it can appear that the quantum-computing market is rapidly commercializing and monetizing.

    However, what exactly are quantum companies selling to generate these revenues?

    Is it quantum compute time? Physical hardware? Government R&D contracts? Quantum sensing or communications?

    Tracing the current revenue structures of major quantum firms shows that the phrase “commercialization of the quantum market” often contains very different realities than the commonly imagined ‘‘commercialization of quantum computers’’.

    *Currency conversions are approximate, using an exchange rate of $1 ≈ ¥159 as of August 20, 2026.

    IonQ — the $12.7 billion quarter is not purely “quantum compute fees”

    IonQ stands out in Q2 2026.

    Revenue was $80.10 million (about ¥12.7 billion), roughly four times year-over-year and far above other pure-play quantum companies.

    However, it would be inaccurate to interpret this number as “IonQ’s quantum computers were used for about ¥12.7 billion worth of compute.”

    IonQ is no longer a company that only does quantum computing.

    Through successive acquisitions, the company has expanded into quantum networking, quantum security, sensing, photonics, and space-related technologies.

    For Q2 the company said roughly 25% of revenue came from customers using multiple product categories. About 60% of revenue was classified as “commercial,” but the scope of that commercial business has broadened significantly compared with the past.

    The company attributes revenue growth to Tempo quantum computer deployments and cloud usage, as well as demand across its broader “quantum platform.”

    In other words, IonQ’s current revenue should be viewed as

    quantum computing + quantum networking + security + sensing + other quantum-related businesses

    combined.

    While revenue is clearly growing rapidly, that growth alone no longer lets you infer the commercial demand for quantum computers themselves.

    Infleqtion — all quantum, but government contracts remain central

    Infleqtion is also interesting.

    Q2 2026 revenue was $13.50 million (about ¥2.1 billion), a 157% year-over-year increase. The company emphasized that this revenue was “100% organic and entirely from quantum.”

    Unlike IonQ, its growth is not being boosted by acquired non-quantum businesses.

    But “entirely quantum” is not the same as “revenue from commercial use of quantum computers.”

    Infleqtion develops the neutral-atom quantum computer “Sqale,” but it also has significant business lines in atomic clocks and quantum sensing.

    Moreover, government contracts play a large role in the company’s revenue. For example, Infleqtion has a $20 million (about ¥3.18 billion) contract with NASA to develop a spaceborne quantum gravity gradiometer. In Q1 2026 that NASA contract alone increased year-over-year revenue by about $4.0 million (about ¥640 million). The company has also derived revenue from the U.S. Department of Defense, the U.S. Army, the European Space Agency, and Japanese government projects.

    Infleqtion’s revenue is certainly “quantum,” but it includes

    quantum computing, quantum sensing, atomic clocks, and government R&D

    all together.

    Again, revenue from a quantum company should be distinguished from revenue specifically generated by commercial use of quantum computers.

    D-Wave — selling a single machine can change the financials

    D-Wave is one of the clearest examples of the current market structure.

    Q2 2026 revenue was $3.10 million (about ¥490 million), roughly flat year-over-year.

    However, first-half 2025 revenue was $18.10 million (about ¥2.88 billion), while first-half 2026 revenue was $5.90 million (about ¥940 million) — a 67% decline.

    The reason is simple: in the first half of 2025 D-Wave recorded a $13.70 million (about ¥2.18 billion) sale of a quantum computer. Selling one large quantum machine can materially swing annual or quarterly revenue for today’s quantum companies.

    D-Wave also offers a cloud service, Leap, as Quantum Computing as a Service (QCaaS).

    Of Leap’s QCaaS revenue in H1 2026, $1.30 million (about ¥210 million) was classified by D-Wave as revenue from “production applications,” representing 37.3% of total QCaaS revenue. In the prior-year period that figure was $0.30 million (about ¥48 million), or 9.8%.

    On the surface, those numbers suggest that production use of quantum computers is expanding. But this interpretation requires caution.

    Leap provides both direct QPU access and quantum-classical hybrid solvers. The internal workings of the latter are a black box to users: external observers cannot verify whether a QPU was actually used for a given calculation, or to what extent a QPU contributed to the result.

    What these figures do indicate is that D-Wave’s optimization services classified as “production” are being used. They do not definitively quantify the commercial value of the QPU itself.

    D-Wave’s current revenue model combines

    hardware sales + cloud usage + professional services

    with multiple models coexisting.

    Particularly, QCaaS “production” revenue should be read separately from metrics that would directly prove the QPU’s commercial usage.

    Rigetti — selling QPUs as well as offering cloud access

    Rigetti has also broadened how it generates revenue in recent years.

    Q2 2026 revenue was $5.10 million (about ¥810 million). The company attributes revenue growth to sales of the nine-qubit Novera quantum computing system and related products.

    Historically Rigetti provided quantum computing through its cloud QCS and via platforms such as Amazon Braket and Microsoft Azure Quantum.

    More recently, however, sales of QPUs and on-premises quantum systems directly to universities, research institutions, and HPC centers have become notable.

    For example, in Q1 2026 Rigetti sold and shipped a Novera QPU to the University of Saskatchewan in Canada. It is also delivering systems to India’s C-DAC and the Pittsburgh Supercomputing Center.

    What customers are buying in these cases is less a service that accelerates existing business processes and more research equipment to study and validate quantum computers themselves.

    More hardware sales will raise revenue, but that should not automatically be interpreted as equivalent to widespread industrial demand for quantum computation.

    Quantinuum — continuous cloud access as a different model

    Quantinuum presents a somewhat different case.

    Q2 2026 revenue was $8.00 million (about ¥1.27 billion), a 279% year-over-year increase.

    Notably, Quantinuum cites cloud business as the primary driver of its revenue growth.

    Unlike hardware sales or government contracts, cloud usage can build recurring revenue as long as customers keep using it. However, increased cloud usage does not necessarily mean those computations are generating economic value in customers’ production workflows — research, evaluation, and algorithm development are included.

    Still, how far a model that sells continued access to quantum compute capacity rather than the machines themselves can scale will be an important indicator of commercialization in the quantum industry.

    The same “revenue” can mean very different things

    Summarizing so far, current quantum-company revenue falls into at least the following categories.

    Type of revenueTypical examplesCharacteristics
    Sales of quantum computer hardwareD-Wave, RigettiSingle sales can be large, but revenue timing is project-dependent
    Cloud compute usageQuantinuum, D-Wave, IonQ, RigettiCan become recurring/stock-like if usage is sustained
    Government and R&D contractsInfleqtion, etc.A major source of demand in today’s quantum industry
    Quantum sensing and communicationsIonQ, InfleqtionMarkets outside quantum computing
    Professional services and joint researchVarious firmsPoCs, algorithm development, deployment support, etc.

    On the books, these are all simply revenue.

    But their implications for the industry’s maturity are quite different.

    For example, if a research institution buys a $20 million (about ¥3.18 billion) quantum computer, the manufacturer records about ¥3.18 billion in revenue.

    However, that does not necessarily mean that

    “the quantum computer was purchased because using it will generate more than ¥3.18 billion in economic value”

    It might have been bought as research equipment.

    It might be for national strategy reasons, to maintain domestic quantum computing capability.

    Or it might be an R&D investment to prepare for the future.

    Conversely, if a company pays monthly for quantum compute services and continuously reduces logistics or production costs as a result, the same revenue figure has a very different meaning.

    “Commercial customer” does not mean “a company using quantum computers in production”

    This point deserves special attention when assessing the current quantum industry.

    Quantum companies often report revenue from “commercial customers” or “commercial revenue.”

    D-Wave said 62.4% of Q2 2026 revenue came from commercial customers. IonQ also reports about 60% commercial revenue.

    From the headline numbers, one might conclude

    “Sixty percent of revenue comes from private companies using quantum computers in production.”

    But reading it that way today is almost certainly misleading.

    “Commercial customer” simply denotes a non-government, non-research institutional customer.

    Such a customer may be:

    • evaluating a quantum computer’s performance
    • running a proof of concept (PoC)
    • conducting joint research
    • developing algorithms to prepare for the future
    • experimentally using quantum computers on the cloud
    • purchasing quantum sensing or communications products rather than quantum compute

    Any of these activities can qualify a firm as a commercial customer.

    That is entirely different from saying a quantum computer is integrated into a company’s daily operational systems and continuously delivering superior economic value over classical methods.

    Current quantum computers still face substantial limitations in performance, error rates, problem size, and cost.

    At present, cases where one can externally verify that quantum computing has demonstrated clear economic advantage over classical computing and that companies are paying recurring fees for that reason are virtually non-existent. Although D-Wave and others have published multiple “production applications,” the degree to which QPUs contribute within quantum-classical hybrid processing or the associated economic superiority over traditional methods has not been made fully transparent.

    Therefore, when companies announce “commercial customers are increasing,”

    it is best not to interpret that as “quantum computers have begun to be commonly used in enterprise production.”

    Having commercial customers is not the same as proving quantum computers’ commercial value.

    Revenue growth is not the same as practical quantum computing

    Quantum companies are already generating revenue.

    But that revenue comprises hardware sales, government contracts, PoCs, joint research, cloud usage, sensing, and communications.

    What quantum companies are earning and whether quantum computers have become a technology that earns money in production are still not the same thing.

    To assess the current state of commercialization, one should look less at headline revenue and more at who is paying, for what, and whether the payments are ongoing.

    Related articles

  • running a proof of concept (PoC)
  • conducting joint research
  • developing algorithms to prepare for the future
  • experimentally using quantum computers on the cloud
  • purchasing quantum sensing or communications products rather than quantum compute
  • Any of these activities can qualify a firm as a commercial customer.

    That is entirely different from saying a quantum computer is integrated into a company’s daily operational systems and continuously delivering superior economic value over classical methods.

    Current quantum computers still face substantial limitations in performance, error rates, problem size, and cost.

    At present, cases where one can externally verify that quantum computing has demonstrated clear economic advantage over classical computing and that companies are paying recurring fees for that reason are virtually non-existent. Although D-Wave and others have published multiple “production applications,” the degree to which QPUs contribute within quantum-classical hybrid processing or the associated economic superiority over traditional methods has not been made fully transparent.

    Therefore, when companies announce “commercial customers are increasing,”

    it is best not to interpret that as “quantum computers have begun to be commonly used in enterprise production.”

    Having commercial customers is not the same as proving quantum computers’ commercial value.

    Revenue growth is not the same as practical quantum computing

    Quantum companies are already generating revenue.

    But that revenue comprises hardware sales, government contracts, PoCs, joint research, cloud usage, sensing, and communications.

    What quantum companies are earning and whether quantum computers have become a technology that earns money in production are still not the same thing.

    To assess the current state of commercialization, one should look less at headline revenue and more at who is paying, for what, and whether the payments are ongoing.

    Related articles

  • evaluating a quantum computer’s performance
  • running a proof of concept (PoC)
  • conducting joint research
  • developing algorithms to prepare for the future
  • experimentally using quantum computers on the cloud
  • purchasing quantum sensing or communications products rather than quantum compute
  • Any of these activities can qualify a firm as a commercial customer.

    That is entirely different from saying a quantum computer is integrated into a company’s daily operational systems and continuously delivering superior economic value over classical methods.

    Current quantum computers still face substantial limitations in performance, error rates, problem size, and cost.

    At present, cases where one can externally verify that quantum computing has demonstrated clear economic advantage over classical computing and that companies are paying recurring fees for that reason are virtually non-existent. Although D-Wave and others have published multiple “production applications,” the degree to which QPUs contribute within quantum-classical hybrid processing or the associated economic superiority over traditional methods has not been made fully transparent.

    Therefore, when companies announce “commercial customers are increasing,”

    it is best not to interpret that as “quantum computers have begun to be commonly used in enterprise production.”

    Having commercial customers is not the same as proving quantum computers’ commercial value.

    Revenue growth is not the same as practical quantum computing

    Quantum companies are already generating revenue.

    But that revenue comprises hardware sales, government contracts, PoCs, joint research, cloud usage, sensing, and communications.

    What quantum companies are earning and whether quantum computers have become a technology that earns money in production are still not the same thing.

    To assess the current state of commercialization, one should look less at headline revenue and more at who is paying, for what, and whether the payments are ongoing.

    Related articles

    • evaluating a quantum computer’s performance
    • running a proof of concept (PoC)
    • conducting joint research
    • developing algorithms to prepare for the future
    • experimentally using quantum computers on the cloud
    • purchasing quantum sensing or communications products rather than quantum compute

    Any of these activities can qualify a firm as a commercial customer.

    That is entirely different from saying a quantum computer is integrated into a company’s daily operational systems and continuously delivering superior economic value over classical methods.

    Current quantum computers still face substantial limitations in performance, error rates, problem size, and cost.

    At present, cases where one can externally verify that quantum computing has demonstrated clear economic advantage over classical computing and that companies are paying recurring fees for that reason are virtually non-existent. Although D-Wave and others have published multiple “production applications,” the degree to which QPUs contribute within quantum-classical hybrid processing or the associated economic superiority over traditional methods has not been made fully transparent.

    Therefore, when companies announce “commercial customers are increasing,”

    it is best not to interpret that as “quantum computers have begun to be commonly used in enterprise production.”

    Having commercial customers is not the same as proving quantum computers’ commercial value.

    Revenue growth is not the same as practical quantum computing

    Quantum companies are already generating revenue.

    But that revenue comprises hardware sales, government contracts, PoCs, joint research, cloud usage, sensing, and communications.

    What quantum companies are earning and whether quantum computers have become a technology that earns money in production are still not the same thing.

    To assess the current state of commercialization, one should look less at headline revenue and more at who is paying, for what, and whether the payments are ongoing.

    Related articles

    • evaluating a quantum computer’s performance
    • running a proof of concept (PoC)
    • conducting joint research
    • developing algorithms to prepare for the future
    • experimentally using quantum computers on the cloud
    • purchasing quantum sensing or communications products rather than quantum compute

    Any of these activities can qualify a firm as a commercial customer.

    That is entirely different from saying a quantum computer is integrated into a company’s daily operational systems and continuously delivering superior economic value over classical methods.

    Current quantum computers still face substantial limitations in performance, error rates, problem size, and cost.

    At present, cases where one can externally verify that quantum computing has demonstrated clear economic advantage over classical computing and that companies are paying recurring fees for that reason are virtually non-existent. Although D-Wave and others have published multiple “production applications,” the degree to which QPUs contribute within quantum-classical hybrid processing or the associated economic superiority over traditional methods has not been made fully transparent.

    Therefore, when companies announce “commercial customers are increasing,”

    it is best not to interpret that as “quantum computers have begun to be commonly used in enterprise production.”

    Having commercial customers is not the same as proving quantum computers’ commercial value.

    Revenue growth is not the same as practical quantum computing

    Quantum companies are already generating revenue.

    But that revenue comprises hardware sales, government contracts, PoCs, joint research, cloud usage, sensing, and communications.

    What quantum companies are earning and whether quantum computers have become a technology that earns money in production are still not the same thing.

    To assess the current state of commercialization, one should look less at headline revenue and more at who is paying, for what, and whether the payments are ongoing.

    Related articles

    Quantum companies’ revenues have started to rise.

    In Q2 2026, IonQ reported $80.10 million (about ¥12.7 billion), Infleqtion reported $13.50 million (about ¥2.1 billion), Quantinuum reported $8.00 million (about ¥1.27 billion), Rigetti Computing reported $5.10 million (about ¥810 million), and D-Wave Quantum reported $3.10 million (about ¥490 million) in revenue.

    IonQ grew 287% year over year, Quantinuum 279%, and Infleqtion 157%. Looking at the raw numbers, it can appear that the quantum-computing market is rapidly commercializing and monetizing.

    However, what exactly are quantum companies selling to generate these revenues?

    Is it quantum compute time? Physical hardware? Government R&D contracts? Quantum sensing or communications?

    Tracing the current revenue structures of major quantum firms shows that the phrase “commercialization of the quantum market” often contains very different realities than the commonly imagined ‘‘commercialization of quantum computers’’.

    *Currency conversions are approximate, using an exchange rate of $1 ≈ ¥159 as of August 20, 2026.

    IonQ — the $12.7 billion quarter is not purely “quantum compute fees”

    IonQ stands out in Q2 2026.

    Revenue was $80.10 million (about ¥12.7 billion), roughly four times year-over-year and far above other pure-play quantum companies.

    However, it would be inaccurate to interpret this number as “IonQ’s quantum computers were used for about ¥12.7 billion worth of compute.”

    IonQ is no longer a company that only does quantum computing.

    Through successive acquisitions, the company has expanded into quantum networking, quantum security, sensing, photonics, and space-related technologies.

    For Q2 the company said roughly 25% of revenue came from customers using multiple product categories. About 60% of revenue was classified as “commercial,” but the scope of that commercial business has broadened significantly compared with the past.

    The company attributes revenue growth to Tempo quantum computer deployments and cloud usage, as well as demand across its broader “quantum platform.”

    In other words, IonQ’s current revenue should be viewed as

    quantum computing + quantum networking + security + sensing + other quantum-related businesses

    combined.

    While revenue is clearly growing rapidly, that growth alone no longer lets you infer the commercial demand for quantum computers themselves.

    Infleqtion — all quantum, but government contracts remain central

    Infleqtion is also interesting.

    Q2 2026 revenue was $13.50 million (about ¥2.1 billion), a 157% year-over-year increase. The company emphasized that this revenue was “100% organic and entirely from quantum.”

    Unlike IonQ, its growth is not being boosted by acquired non-quantum businesses.

    But “entirely quantum” is not the same as “revenue from commercial use of quantum computers.”

    Infleqtion develops the neutral-atom quantum computer “Sqale,” but it also has significant business lines in atomic clocks and quantum sensing.

    Moreover, government contracts play a large role in the company’s revenue. For example, Infleqtion has a $20 million (about ¥3.18 billion) contract with NASA to develop a spaceborne quantum gravity gradiometer. In Q1 2026 that NASA contract alone increased year-over-year revenue by about $4.0 million (about ¥640 million). The company has also derived revenue from the U.S. Department of Defense, the U.S. Army, the European Space Agency, and Japanese government projects.

    Infleqtion’s revenue is certainly “quantum,” but it includes

    quantum computing, quantum sensing, atomic clocks, and government R&D

    all together.

    Again, revenue from a quantum company should be distinguished from revenue specifically generated by commercial use of quantum computers.

    D-Wave — selling a single machine can change the financials

    D-Wave is one of the clearest examples of the current market structure.

    Q2 2026 revenue was $3.10 million (about ¥490 million), roughly flat year-over-year.

    However, first-half 2025 revenue was $18.10 million (about ¥2.88 billion), while first-half 2026 revenue was $5.90 million (about ¥940 million) — a 67% decline.

    The reason is simple: in the first half of 2025 D-Wave recorded a $13.70 million (about ¥2.18 billion) sale of a quantum computer. Selling one large quantum machine can materially swing annual or quarterly revenue for today’s quantum companies.

    D-Wave also offers a cloud service, Leap, as Quantum Computing as a Service (QCaaS).

    Of Leap’s QCaaS revenue in H1 2026, $1.30 million (about ¥210 million) was classified by D-Wave as revenue from “production applications,” representing 37.3% of total QCaaS revenue. In the prior-year period that figure was $0.30 million (about ¥48 million), or 9.8%.

    On the surface, those numbers suggest that production use of quantum computers is expanding. But this interpretation requires caution.

    Leap provides both direct QPU access and quantum-classical hybrid solvers. The internal workings of the latter are a black box to users: external observers cannot verify whether a QPU was actually used for a given calculation, or to what extent a QPU contributed to the result.

    What these figures do indicate is that D-Wave’s optimization services classified as “production” are being used. They do not definitively quantify the commercial value of the QPU itself.

    D-Wave’s current revenue model combines

    hardware sales + cloud usage + professional services

    with multiple models coexisting.

    Particularly, QCaaS “production” revenue should be read separately from metrics that would directly prove the QPU’s commercial usage.

    Rigetti — selling QPUs as well as offering cloud access

    Rigetti has also broadened how it generates revenue in recent years.

    Q2 2026 revenue was $5.10 million (about ¥810 million). The company attributes revenue growth to sales of the nine-qubit Novera quantum computing system and related products.

    Historically Rigetti provided quantum computing through its cloud QCS and via platforms such as Amazon Braket and Microsoft Azure Quantum.

    More recently, however, sales of QPUs and on-premises quantum systems directly to universities, research institutions, and HPC centers have become notable.

    For example, in Q1 2026 Rigetti sold and shipped a Novera QPU to the University of Saskatchewan in Canada. It is also delivering systems to India’s C-DAC and the Pittsburgh Supercomputing Center.

    What customers are buying in these cases is less a service that accelerates existing business processes and more research equipment to study and validate quantum computers themselves.

    More hardware sales will raise revenue, but that should not automatically be interpreted as equivalent to widespread industrial demand for quantum computation.

    Quantinuum — continuous cloud access as a different model

    Quantinuum presents a somewhat different case.

    Q2 2026 revenue was $8.00 million (about ¥1.27 billion), a 279% year-over-year increase.

    Notably, Quantinuum cites cloud business as the primary driver of its revenue growth.

    Unlike hardware sales or government contracts, cloud usage can build recurring revenue as long as customers keep using it. However, increased cloud usage does not necessarily mean those computations are generating economic value in customers’ production workflows — research, evaluation, and algorithm development are included.

    Still, how far a model that sells continued access to quantum compute capacity rather than the machines themselves can scale will be an important indicator of commercialization in the quantum industry.

    The same “revenue” can mean very different things

    Summarizing so far, current quantum-company revenue falls into at least the following categories.

    Type of revenueTypical examplesCharacteristics
    Sales of quantum computer hardwareD-Wave, RigettiSingle sales can be large, but revenue timing is project-dependent
    Cloud compute usageQuantinuum, D-Wave, IonQ, RigettiCan become recurring/stock-like if usage is sustained
    Government and R&D contractsInfleqtion, etc.A major source of demand in today’s quantum industry
    Quantum sensing and communicationsIonQ, InfleqtionMarkets outside quantum computing
    Professional services and joint researchVarious firmsPoCs, algorithm development, deployment support, etc.

    On the books, these are all simply revenue.

    But their implications for the industry’s maturity are quite different.

    For example, if a research institution buys a $20 million (about ¥3.18 billion) quantum computer, the manufacturer records about ¥3.18 billion in revenue.

    However, that does not necessarily mean that

    “the quantum computer was purchased because using it will generate more than ¥3.18 billion in economic value”

    It might have been bought as research equipment.

    It might be for national strategy reasons, to maintain domestic quantum computing capability.

    Or it might be an R&D investment to prepare for the future.

    Conversely, if a company pays monthly for quantum compute services and continuously reduces logistics or production costs as a result, the same revenue figure has a very different meaning.

    “Commercial customer” does not mean “a company using quantum computers in production”

    This point deserves special attention when assessing the current quantum industry.

    Quantum companies often report revenue from “commercial customers” or “commercial revenue.”

    D-Wave said 62.4% of Q2 2026 revenue came from commercial customers. IonQ also reports about 60% commercial revenue.

    From the headline numbers, one might conclude

    “Sixty percent of revenue comes from private companies using quantum computers in production.”

    But reading it that way today is almost certainly misleading.

    “Commercial customer” simply denotes a non-government, non-research institutional customer.

    Such a customer may be:

    • evaluating a quantum computer’s performance
    • running a proof of concept (PoC)
    • conducting joint research
    • developing algorithms to prepare for the future
    • experimentally using quantum computers on the cloud
    • purchasing quantum sensing or communications products rather than quantum compute

    Any of these activities can qualify a firm as a commercial customer.

    That is entirely different from saying a quantum computer is integrated into a company’s daily operational systems and continuously delivering superior economic value over classical methods.

    Current quantum computers still face substantial limitations in performance, error rates, problem size, and cost.

    At present, cases where one can externally verify that quantum computing has demonstrated clear economic advantage over classical computing and that companies are paying recurring fees for that reason are virtually non-existent. Although D-Wave and others have published multiple “production applications,” the degree to which QPUs contribute within quantum-classical hybrid processing or the associated economic superiority over traditional methods has not been made fully transparent.

    Therefore, when companies announce “commercial customers are increasing,”

    it is best not to interpret that as “quantum computers have begun to be commonly used in enterprise production.”

    Having commercial customers is not the same as proving quantum computers’ commercial value.

    Revenue growth is not the same as practical quantum computing

    Quantum companies are already generating revenue.

    But that revenue comprises hardware sales, government contracts, PoCs, joint research, cloud usage, sensing, and communications.

    What quantum companies are earning and whether quantum computers have become a technology that earns money in production are still not the same thing.

    To assess the current state of commercialization, one should look less at headline revenue and more at who is paying, for what, and whether the payments are ongoing.

    Related articles

  • developing algorithms to prepare for the future
  • experimentally using quantum computers on the cloud
  • purchasing quantum sensing or communications products rather than quantum compute
  • Any of these activities can qualify a firm as a commercial customer.

    That is entirely different from saying a quantum computer is integrated into a company’s daily operational systems and continuously delivering superior economic value over classical methods.

    Current quantum computers still face substantial limitations in performance, error rates, problem size, and cost.

    At present, cases where one can externally verify that quantum computing has demonstrated clear economic advantage over classical computing and that companies are paying recurring fees for that reason are virtually non-existent. Although D-Wave and others have published multiple “production applications,” the degree to which QPUs contribute within quantum-classical hybrid processing or the associated economic superiority over traditional methods has not been made fully transparent.

    Therefore, when companies announce “commercial customers are increasing,”

    it is best not to interpret that as “quantum computers have begun to be commonly used in enterprise production.”

    Having commercial customers is not the same as proving quantum computers’ commercial value.

    Revenue growth is not the same as practical quantum computing

    Quantum companies are already generating revenue.

    But that revenue comprises hardware sales, government contracts, PoCs, joint research, cloud usage, sensing, and communications.

    What quantum companies are earning and whether quantum computers have become a technology that earns money in production are still not the same thing.

    To assess the current state of commercialization, one should look less at headline revenue and more at who is paying, for what, and whether the payments are ongoing.

    Related articles

  • running a proof of concept (PoC)
  • conducting joint research
  • developing algorithms to prepare for the future
  • experimentally using quantum computers on the cloud
  • purchasing quantum sensing or communications products rather than quantum compute
  • Any of these activities can qualify a firm as a commercial customer.

    That is entirely different from saying a quantum computer is integrated into a company’s daily operational systems and continuously delivering superior economic value over classical methods.

    Current quantum computers still face substantial limitations in performance, error rates, problem size, and cost.

    At present, cases where one can externally verify that quantum computing has demonstrated clear economic advantage over classical computing and that companies are paying recurring fees for that reason are virtually non-existent. Although D-Wave and others have published multiple “production applications,” the degree to which QPUs contribute within quantum-classical hybrid processing or the associated economic superiority over traditional methods has not been made fully transparent.

    Therefore, when companies announce “commercial customers are increasing,”

    it is best not to interpret that as “quantum computers have begun to be commonly used in enterprise production.”

    Having commercial customers is not the same as proving quantum computers’ commercial value.

    Revenue growth is not the same as practical quantum computing

    Quantum companies are already generating revenue.

    But that revenue comprises hardware sales, government contracts, PoCs, joint research, cloud usage, sensing, and communications.

    What quantum companies are earning and whether quantum computers have become a technology that earns money in production are still not the same thing.

    To assess the current state of commercialization, one should look less at headline revenue and more at who is paying, for what, and whether the payments are ongoing.

    Related articles

  • evaluating a quantum computer’s performance
  • running a proof of concept (PoC)
  • conducting joint research
  • developing algorithms to prepare for the future
  • experimentally using quantum computers on the cloud
  • purchasing quantum sensing or communications products rather than quantum compute
  • Any of these activities can qualify a firm as a commercial customer.

    That is entirely different from saying a quantum computer is integrated into a company’s daily operational systems and continuously delivering superior economic value over classical methods.

    Current quantum computers still face substantial limitations in performance, error rates, problem size, and cost.

    At present, cases where one can externally verify that quantum computing has demonstrated clear economic advantage over classical computing and that companies are paying recurring fees for that reason are virtually non-existent. Although D-Wave and others have published multiple “production applications,” the degree to which QPUs contribute within quantum-classical hybrid processing or the associated economic superiority over traditional methods has not been made fully transparent.

    Therefore, when companies announce “commercial customers are increasing,”

    it is best not to interpret that as “quantum computers have begun to be commonly used in enterprise production.”

    Having commercial customers is not the same as proving quantum computers’ commercial value.

    Revenue growth is not the same as practical quantum computing

    Quantum companies are already generating revenue.

    But that revenue comprises hardware sales, government contracts, PoCs, joint research, cloud usage, sensing, and communications.

    What quantum companies are earning and whether quantum computers have become a technology that earns money in production are still not the same thing.

    To assess the current state of commercialization, one should look less at headline revenue and more at who is paying, for what, and whether the payments are ongoing.

    Related articles

    • evaluating a quantum computer’s performance
    • running a proof of concept (PoC)
    • conducting joint research
    • developing algorithms to prepare for the future
    • experimentally using quantum computers on the cloud
    • purchasing quantum sensing or communications products rather than quantum compute

    Any of these activities can qualify a firm as a commercial customer.

    That is entirely different from saying a quantum computer is integrated into a company’s daily operational systems and continuously delivering superior economic value over classical methods.

    Current quantum computers still face substantial limitations in performance, error rates, problem size, and cost.

    At present, cases where one can externally verify that quantum computing has demonstrated clear economic advantage over classical computing and that companies are paying recurring fees for that reason are virtually non-existent. Although D-Wave and others have published multiple “production applications,” the degree to which QPUs contribute within quantum-classical hybrid processing or the associated economic superiority over traditional methods has not been made fully transparent.

    Therefore, when companies announce “commercial customers are increasing,”

    it is best not to interpret that as “quantum computers have begun to be commonly used in enterprise production.”

    Having commercial customers is not the same as proving quantum computers’ commercial value.

    Revenue growth is not the same as practical quantum computing

    Quantum companies are already generating revenue.

    But that revenue comprises hardware sales, government contracts, PoCs, joint research, cloud usage, sensing, and communications.

    What quantum companies are earning and whether quantum computers have become a technology that earns money in production are still not the same thing.

    To assess the current state of commercialization, one should look less at headline revenue and more at who is paying, for what, and whether the payments are ongoing.

    Related articles

    • evaluating a quantum computer’s performance
    • running a proof of concept (PoC)
    • conducting joint research
    • developing algorithms to prepare for the future
    • experimentally using quantum computers on the cloud
    • purchasing quantum sensing or communications products rather than quantum compute

    Any of these activities can qualify a firm as a commercial customer.

    That is entirely different from saying a quantum computer is integrated into a company’s daily operational systems and continuously delivering superior economic value over classical methods.

    Current quantum computers still face substantial limitations in performance, error rates, problem size, and cost.

    At present, cases where one can externally verify that quantum computing has demonstrated clear economic advantage over classical computing and that companies are paying recurring fees for that reason are virtually non-existent. Although D-Wave and others have published multiple “production applications,” the degree to which QPUs contribute within quantum-classical hybrid processing or the associated economic superiority over traditional methods has not been made fully transparent.

    Therefore, when companies announce “commercial customers are increasing,”

    it is best not to interpret that as “quantum computers have begun to be commonly used in enterprise production.”

    Having commercial customers is not the same as proving quantum computers’ commercial value.

    Revenue growth is not the same as practical quantum computing

    Quantum companies are already generating revenue.

    But that revenue comprises hardware sales, government contracts, PoCs, joint research, cloud usage, sensing, and communications.

    What quantum companies are earning and whether quantum computers have become a technology that earns money in production are still not the same thing.

    To assess the current state of commercialization, one should look less at headline revenue and more at who is paying, for what, and whether the payments are ongoing.

    Related articles

    Quantum companies’ revenues have started to rise.

    In Q2 2026, IonQ reported $80.10 million (about ¥12.7 billion), Infleqtion reported $13.50 million (about ¥2.1 billion), Quantinuum reported $8.00 million (about ¥1.27 billion), Rigetti Computing reported $5.10 million (about ¥810 million), and D-Wave Quantum reported $3.10 million (about ¥490 million) in revenue.

    IonQ grew 287% year over year, Quantinuum 279%, and Infleqtion 157%. Looking at the raw numbers, it can appear that the quantum-computing market is rapidly commercializing and monetizing.

    However, what exactly are quantum companies selling to generate these revenues?

    Is it quantum compute time? Physical hardware? Government R&D contracts? Quantum sensing or communications?

    Tracing the current revenue structures of major quantum firms shows that the phrase “commercialization of the quantum market” often contains very different realities than the commonly imagined ‘‘commercialization of quantum computers’’.

    *Currency conversions are approximate, using an exchange rate of $1 ≈ ¥159 as of August 20, 2026.

    IonQ — the $12.7 billion quarter is not purely “quantum compute fees”

    IonQ stands out in Q2 2026.

    Revenue was $80.10 million (about ¥12.7 billion), roughly four times year-over-year and far above other pure-play quantum companies.

    However, it would be inaccurate to interpret this number as “IonQ’s quantum computers were used for about ¥12.7 billion worth of compute.”

    IonQ is no longer a company that only does quantum computing.

    Through successive acquisitions, the company has expanded into quantum networking, quantum security, sensing, photonics, and space-related technologies.

    For Q2 the company said roughly 25% of revenue came from customers using multiple product categories. About 60% of revenue was classified as “commercial,” but the scope of that commercial business has broadened significantly compared with the past.

    The company attributes revenue growth to Tempo quantum computer deployments and cloud usage, as well as demand across its broader “quantum platform.”

    In other words, IonQ’s current revenue should be viewed as

    quantum computing + quantum networking + security + sensing + other quantum-related businesses

    combined.

    While revenue is clearly growing rapidly, that growth alone no longer lets you infer the commercial demand for quantum computers themselves.

    Infleqtion — all quantum, but government contracts remain central

    Infleqtion is also interesting.

    Q2 2026 revenue was $13.50 million (about ¥2.1 billion), a 157% year-over-year increase. The company emphasized that this revenue was “100% organic and entirely from quantum.”

    Unlike IonQ, its growth is not being boosted by acquired non-quantum businesses.

    But “entirely quantum” is not the same as “revenue from commercial use of quantum computers.”

    Infleqtion develops the neutral-atom quantum computer “Sqale,” but it also has significant business lines in atomic clocks and quantum sensing.

    Moreover, government contracts play a large role in the company’s revenue. For example, Infleqtion has a $20 million (about ¥3.18 billion) contract with NASA to develop a spaceborne quantum gravity gradiometer. In Q1 2026 that NASA contract alone increased year-over-year revenue by about $4.0 million (about ¥640 million). The company has also derived revenue from the U.S. Department of Defense, the U.S. Army, the European Space Agency, and Japanese government projects.

    Infleqtion’s revenue is certainly “quantum,” but it includes

    quantum computing, quantum sensing, atomic clocks, and government R&D

    all together.

    Again, revenue from a quantum company should be distinguished from revenue specifically generated by commercial use of quantum computers.

    D-Wave — selling a single machine can change the financials

    D-Wave is one of the clearest examples of the current market structure.

    Q2 2026 revenue was $3.10 million (about ¥490 million), roughly flat year-over-year.

    However, first-half 2025 revenue was $18.10 million (about ¥2.88 billion), while first-half 2026 revenue was $5.90 million (about ¥940 million) — a 67% decline.

    The reason is simple: in the first half of 2025 D-Wave recorded a $13.70 million (about ¥2.18 billion) sale of a quantum computer. Selling one large quantum machine can materially swing annual or quarterly revenue for today’s quantum companies.

    D-Wave also offers a cloud service, Leap, as Quantum Computing as a Service (QCaaS).

    Of Leap’s QCaaS revenue in H1 2026, $1.30 million (about ¥210 million) was classified by D-Wave as revenue from “production applications,” representing 37.3% of total QCaaS revenue. In the prior-year period that figure was $0.30 million (about ¥48 million), or 9.8%.

    On the surface, those numbers suggest that production use of quantum computers is expanding. But this interpretation requires caution.

    Leap provides both direct QPU access and quantum-classical hybrid solvers. The internal workings of the latter are a black box to users: external observers cannot verify whether a QPU was actually used for a given calculation, or to what extent a QPU contributed to the result.

    What these figures do indicate is that D-Wave’s optimization services classified as “production” are being used. They do not definitively quantify the commercial value of the QPU itself.

    D-Wave’s current revenue model combines

    hardware sales + cloud usage + professional services

    with multiple models coexisting.

    Particularly, QCaaS “production” revenue should be read separately from metrics that would directly prove the QPU’s commercial usage.

    Rigetti — selling QPUs as well as offering cloud access

    Rigetti has also broadened how it generates revenue in recent years.

    Q2 2026 revenue was $5.10 million (about ¥810 million). The company attributes revenue growth to sales of the nine-qubit Novera quantum computing system and related products.

    Historically Rigetti provided quantum computing through its cloud QCS and via platforms such as Amazon Braket and Microsoft Azure Quantum.

    More recently, however, sales of QPUs and on-premises quantum systems directly to universities, research institutions, and HPC centers have become notable.

    For example, in Q1 2026 Rigetti sold and shipped a Novera QPU to the University of Saskatchewan in Canada. It is also delivering systems to India’s C-DAC and the Pittsburgh Supercomputing Center.

    What customers are buying in these cases is less a service that accelerates existing business processes and more research equipment to study and validate quantum computers themselves.

    More hardware sales will raise revenue, but that should not automatically be interpreted as equivalent to widespread industrial demand for quantum computation.

    Quantinuum — continuous cloud access as a different model

    Quantinuum presents a somewhat different case.

    Q2 2026 revenue was $8.00 million (about ¥1.27 billion), a 279% year-over-year increase.

    Notably, Quantinuum cites cloud business as the primary driver of its revenue growth.

    Unlike hardware sales or government contracts, cloud usage can build recurring revenue as long as customers keep using it. However, increased cloud usage does not necessarily mean those computations are generating economic value in customers’ production workflows — research, evaluation, and algorithm development are included.

    Still, how far a model that sells continued access to quantum compute capacity rather than the machines themselves can scale will be an important indicator of commercialization in the quantum industry.

    The same “revenue” can mean very different things

    Summarizing so far, current quantum-company revenue falls into at least the following categories.

    Type of revenueTypical examplesCharacteristics
    Sales of quantum computer hardwareD-Wave, RigettiSingle sales can be large, but revenue timing is project-dependent
    Cloud compute usageQuantinuum, D-Wave, IonQ, RigettiCan become recurring/stock-like if usage is sustained
    Government and R&D contractsInfleqtion, etc.A major source of demand in today’s quantum industry
    Quantum sensing and communicationsIonQ, InfleqtionMarkets outside quantum computing
    Professional services and joint researchVarious firmsPoCs, algorithm development, deployment support, etc.

    On the books, these are all simply revenue.

    But their implications for the industry’s maturity are quite different.

    For example, if a research institution buys a $20 million (about ¥3.18 billion) quantum computer, the manufacturer records about ¥3.18 billion in revenue.

    However, that does not necessarily mean that

    “the quantum computer was purchased because using it will generate more than ¥3.18 billion in economic value”

    It might have been bought as research equipment.

    It might be for national strategy reasons, to maintain domestic quantum computing capability.

    Or it might be an R&D investment to prepare for the future.

    Conversely, if a company pays monthly for quantum compute services and continuously reduces logistics or production costs as a result, the same revenue figure has a very different meaning.

    “Commercial customer” does not mean “a company using quantum computers in production”

    This point deserves special attention when assessing the current quantum industry.

    Quantum companies often report revenue from “commercial customers” or “commercial revenue.”

    D-Wave said 62.4% of Q2 2026 revenue came from commercial customers. IonQ also reports about 60% commercial revenue.

    From the headline numbers, one might conclude

    “Sixty percent of revenue comes from private companies using quantum computers in production.”

    But reading it that way today is almost certainly misleading.

    “Commercial customer” simply denotes a non-government, non-research institutional customer.

    Such a customer may be:

    • evaluating a quantum computer’s performance
    • running a proof of concept (PoC)
    • conducting joint research
    • developing algorithms to prepare for the future
    • experimentally using quantum computers on the cloud
    • purchasing quantum sensing or communications products rather than quantum compute

    Any of these activities can qualify a firm as a commercial customer.

    That is entirely different from saying a quantum computer is integrated into a company’s daily operational systems and continuously delivering superior economic value over classical methods.

    Current quantum computers still face substantial limitations in performance, error rates, problem size, and cost.

    At present, cases where one can externally verify that quantum computing has demonstrated clear economic advantage over classical computing and that companies are paying recurring fees for that reason are virtually non-existent. Although D-Wave and others have published multiple “production applications,” the degree to which QPUs contribute within quantum-classical hybrid processing or the associated economic superiority over traditional methods has not been made fully transparent.

    Therefore, when companies announce “commercial customers are increasing,”

    it is best not to interpret that as “quantum computers have begun to be commonly used in enterprise production.”

    Having commercial customers is not the same as proving quantum computers’ commercial value.

    Revenue growth is not the same as practical quantum computing

    Quantum companies are already generating revenue.

    But that revenue comprises hardware sales, government contracts, PoCs, joint research, cloud usage, sensing, and communications.

    What quantum companies are earning and whether quantum computers have become a technology that earns money in production are still not the same thing.

    To assess the current state of commercialization, one should look less at headline revenue and more at who is paying, for what, and whether the payments are ongoing.

    Related articles

  • conducting joint research
  • developing algorithms to prepare for the future
  • experimentally using quantum computers on the cloud
  • purchasing quantum sensing or communications products rather than quantum compute
  • Any of these activities can qualify a firm as a commercial customer.

    That is entirely different from saying a quantum computer is integrated into a company’s daily operational systems and continuously delivering superior economic value over classical methods.

    Current quantum computers still face substantial limitations in performance, error rates, problem size, and cost.

    At present, cases where one can externally verify that quantum computing has demonstrated clear economic advantage over classical computing and that companies are paying recurring fees for that reason are virtually non-existent. Although D-Wave and others have published multiple “production applications,” the degree to which QPUs contribute within quantum-classical hybrid processing or the associated economic superiority over traditional methods has not been made fully transparent.

    Therefore, when companies announce “commercial customers are increasing,”

    it is best not to interpret that as “quantum computers have begun to be commonly used in enterprise production.”

    Having commercial customers is not the same as proving quantum computers’ commercial value.

    Revenue growth is not the same as practical quantum computing

    Quantum companies are already generating revenue.

    But that revenue comprises hardware sales, government contracts, PoCs, joint research, cloud usage, sensing, and communications.

    What quantum companies are earning and whether quantum computers have become a technology that earns money in production are still not the same thing.

    To assess the current state of commercialization, one should look less at headline revenue and more at who is paying, for what, and whether the payments are ongoing.

    Related articles

  • running a proof of concept (PoC)
  • conducting joint research
  • developing algorithms to prepare for the future
  • experimentally using quantum computers on the cloud
  • purchasing quantum sensing or communications products rather than quantum compute
  • Any of these activities can qualify a firm as a commercial customer.

    That is entirely different from saying a quantum computer is integrated into a company’s daily operational systems and continuously delivering superior economic value over classical methods.

    Current quantum computers still face substantial limitations in performance, error rates, problem size, and cost.

    At present, cases where one can externally verify that quantum computing has demonstrated clear economic advantage over classical computing and that companies are paying recurring fees for that reason are virtually non-existent. Although D-Wave and others have published multiple “production applications,” the degree to which QPUs contribute within quantum-classical hybrid processing or the associated economic superiority over traditional methods has not been made fully transparent.

    Therefore, when companies announce “commercial customers are increasing,”

    it is best not to interpret that as “quantum computers have begun to be commonly used in enterprise production.”

    Having commercial customers is not the same as proving quantum computers’ commercial value.

    Revenue growth is not the same as practical quantum computing

    Quantum companies are already generating revenue.

    But that revenue comprises hardware sales, government contracts, PoCs, joint research, cloud usage, sensing, and communications.

    What quantum companies are earning and whether quantum computers have become a technology that earns money in production are still not the same thing.

    To assess the current state of commercialization, one should look less at headline revenue and more at who is paying, for what, and whether the payments are ongoing.

    Related articles

  • evaluating a quantum computer’s performance
  • running a proof of concept (PoC)
  • conducting joint research
  • developing algorithms to prepare for the future
  • experimentally using quantum computers on the cloud
  • purchasing quantum sensing or communications products rather than quantum compute
  • Any of these activities can qualify a firm as a commercial customer.

    That is entirely different from saying a quantum computer is integrated into a company’s daily operational systems and continuously delivering superior economic value over classical methods.

    Current quantum computers still face substantial limitations in performance, error rates, problem size, and cost.

    At present, cases where one can externally verify that quantum computing has demonstrated clear economic advantage over classical computing and that companies are paying recurring fees for that reason are virtually non-existent. Although D-Wave and others have published multiple “production applications,” the degree to which QPUs contribute within quantum-classical hybrid processing or the associated economic superiority over traditional methods has not been made fully transparent.

    Therefore, when companies announce “commercial customers are increasing,”

    it is best not to interpret that as “quantum computers have begun to be commonly used in enterprise production.”

    Having commercial customers is not the same as proving quantum computers’ commercial value.

    Revenue growth is not the same as practical quantum computing

    Quantum companies are already generating revenue.

    But that revenue comprises hardware sales, government contracts, PoCs, joint research, cloud usage, sensing, and communications.

    What quantum companies are earning and whether quantum computers have become a technology that earns money in production are still not the same thing.

    To assess the current state of commercialization, one should look less at headline revenue and more at who is paying, for what, and whether the payments are ongoing.

    Related articles

    • evaluating a quantum computer’s performance
    • running a proof of concept (PoC)
    • conducting joint research
    • developing algorithms to prepare for the future
    • experimentally using quantum computers on the cloud
    • purchasing quantum sensing or communications products rather than quantum compute

    Any of these activities can qualify a firm as a commercial customer.

    That is entirely different from saying a quantum computer is integrated into a company’s daily operational systems and continuously delivering superior economic value over classical methods.

    Current quantum computers still face substantial limitations in performance, error rates, problem size, and cost.

    At present, cases where one can externally verify that quantum computing has demonstrated clear economic advantage over classical computing and that companies are paying recurring fees for that reason are virtually non-existent. Although D-Wave and others have published multiple “production applications,” the degree to which QPUs contribute within quantum-classical hybrid processing or the associated economic superiority over traditional methods has not been made fully transparent.

    Therefore, when companies announce “commercial customers are increasing,”

    it is best not to interpret that as “quantum computers have begun to be commonly used in enterprise production.”

    Having commercial customers is not the same as proving quantum computers’ commercial value.

    Revenue growth is not the same as practical quantum computing

    Quantum companies are already generating revenue.

    But that revenue comprises hardware sales, government contracts, PoCs, joint research, cloud usage, sensing, and communications.

    What quantum companies are earning and whether quantum computers have become a technology that earns money in production are still not the same thing.

    To assess the current state of commercialization, one should look less at headline revenue and more at who is paying, for what, and whether the payments are ongoing.

    Related articles

    • evaluating a quantum computer’s performance
    • running a proof of concept (PoC)
    • conducting joint research
    • developing algorithms to prepare for the future
    • experimentally using quantum computers on the cloud
    • purchasing quantum sensing or communications products rather than quantum compute

    Any of these activities can qualify a firm as a commercial customer.

    That is entirely different from saying a quantum computer is integrated into a company’s daily operational systems and continuously delivering superior economic value over classical methods.

    Current quantum computers still face substantial limitations in performance, error rates, problem size, and cost.

    At present, cases where one can externally verify that quantum computing has demonstrated clear economic advantage over classical computing and that companies are paying recurring fees for that reason are virtually non-existent. Although D-Wave and others have published multiple “production applications,” the degree to which QPUs contribute within quantum-classical hybrid processing or the associated economic superiority over traditional methods has not been made fully transparent.

    Therefore, when companies announce “commercial customers are increasing,”

    it is best not to interpret that as “quantum computers have begun to be commonly used in enterprise production.”

    Having commercial customers is not the same as proving quantum computers’ commercial value.

    Revenue growth is not the same as practical quantum computing

    Quantum companies are already generating revenue.

    But that revenue comprises hardware sales, government contracts, PoCs, joint research, cloud usage, sensing, and communications.

    What quantum companies are earning and whether quantum computers have become a technology that earns money in production are still not the same thing.

    To assess the current state of commercialization, one should look less at headline revenue and more at who is paying, for what, and whether the payments are ongoing.

    Related articles

    Quantum companies’ revenues have started to rise.

    In Q2 2026, IonQ reported $80.10 million (about ¥12.7 billion), Infleqtion reported $13.50 million (about ¥2.1 billion), Quantinuum reported $8.00 million (about ¥1.27 billion), Rigetti Computing reported $5.10 million (about ¥810 million), and D-Wave Quantum reported $3.10 million (about ¥490 million) in revenue.

    IonQ grew 287% year over year, Quantinuum 279%, and Infleqtion 157%. Looking at the raw numbers, it can appear that the quantum-computing market is rapidly commercializing and monetizing.

    However, what exactly are quantum companies selling to generate these revenues?

    Is it quantum compute time? Physical hardware? Government R&D contracts? Quantum sensing or communications?

    Tracing the current revenue structures of major quantum firms shows that the phrase “commercialization of the quantum market” often contains very different realities than the commonly imagined ‘‘commercialization of quantum computers’’.

    *Currency conversions are approximate, using an exchange rate of $1 ≈ ¥159 as of August 20, 2026.

    IonQ — the $12.7 billion quarter is not purely “quantum compute fees”

    IonQ stands out in Q2 2026.

    Revenue was $80.10 million (about ¥12.7 billion), roughly four times year-over-year and far above other pure-play quantum companies.

    However, it would be inaccurate to interpret this number as “IonQ’s quantum computers were used for about ¥12.7 billion worth of compute.”

    IonQ is no longer a company that only does quantum computing.

    Through successive acquisitions, the company has expanded into quantum networking, quantum security, sensing, photonics, and space-related technologies.

    For Q2 the company said roughly 25% of revenue came from customers using multiple product categories. About 60% of revenue was classified as “commercial,” but the scope of that commercial business has broadened significantly compared with the past.

    The company attributes revenue growth to Tempo quantum computer deployments and cloud usage, as well as demand across its broader “quantum platform.”

    In other words, IonQ’s current revenue should be viewed as

    quantum computing + quantum networking + security + sensing + other quantum-related businesses

    combined.

    While revenue is clearly growing rapidly, that growth alone no longer lets you infer the commercial demand for quantum computers themselves.

    Infleqtion — all quantum, but government contracts remain central

    Infleqtion is also interesting.

    Q2 2026 revenue was $13.50 million (about ¥2.1 billion), a 157% year-over-year increase. The company emphasized that this revenue was “100% organic and entirely from quantum.”

    Unlike IonQ, its growth is not being boosted by acquired non-quantum businesses.

    But “entirely quantum” is not the same as “revenue from commercial use of quantum computers.”

    Infleqtion develops the neutral-atom quantum computer “Sqale,” but it also has significant business lines in atomic clocks and quantum sensing.

    Moreover, government contracts play a large role in the company’s revenue. For example, Infleqtion has a $20 million (about ¥3.18 billion) contract with NASA to develop a spaceborne quantum gravity gradiometer. In Q1 2026 that NASA contract alone increased year-over-year revenue by about $4.0 million (about ¥640 million). The company has also derived revenue from the U.S. Department of Defense, the U.S. Army, the European Space Agency, and Japanese government projects.

    Infleqtion’s revenue is certainly “quantum,” but it includes

    quantum computing, quantum sensing, atomic clocks, and government R&D

    all together.

    Again, revenue from a quantum company should be distinguished from revenue specifically generated by commercial use of quantum computers.

    D-Wave — selling a single machine can change the financials

    D-Wave is one of the clearest examples of the current market structure.

    Q2 2026 revenue was $3.10 million (about ¥490 million), roughly flat year-over-year.

    However, first-half 2025 revenue was $18.10 million (about ¥2.88 billion), while first-half 2026 revenue was $5.90 million (about ¥940 million) — a 67% decline.

    The reason is simple: in the first half of 2025 D-Wave recorded a $13.70 million (about ¥2.18 billion) sale of a quantum computer. Selling one large quantum machine can materially swing annual or quarterly revenue for today’s quantum companies.

    D-Wave also offers a cloud service, Leap, as Quantum Computing as a Service (QCaaS).

    Of Leap’s QCaaS revenue in H1 2026, $1.30 million (about ¥210 million) was classified by D-Wave as revenue from “production applications,” representing 37.3% of total QCaaS revenue. In the prior-year period that figure was $0.30 million (about ¥48 million), or 9.8%.

    On the surface, those numbers suggest that production use of quantum computers is expanding. But this interpretation requires caution.

    Leap provides both direct QPU access and quantum-classical hybrid solvers. The internal workings of the latter are a black box to users: external observers cannot verify whether a QPU was actually used for a given calculation, or to what extent a QPU contributed to the result.

    What these figures do indicate is that D-Wave’s optimization services classified as “production” are being used. They do not definitively quantify the commercial value of the QPU itself.

    D-Wave’s current revenue model combines

    hardware sales + cloud usage + professional services

    with multiple models coexisting.

    Particularly, QCaaS “production” revenue should be read separately from metrics that would directly prove the QPU’s commercial usage.

    Rigetti — selling QPUs as well as offering cloud access

    Rigetti has also broadened how it generates revenue in recent years.

    Q2 2026 revenue was $5.10 million (about ¥810 million). The company attributes revenue growth to sales of the nine-qubit Novera quantum computing system and related products.

    Historically Rigetti provided quantum computing through its cloud QCS and via platforms such as Amazon Braket and Microsoft Azure Quantum.

    More recently, however, sales of QPUs and on-premises quantum systems directly to universities, research institutions, and HPC centers have become notable.

    For example, in Q1 2026 Rigetti sold and shipped a Novera QPU to the University of Saskatchewan in Canada. It is also delivering systems to India’s C-DAC and the Pittsburgh Supercomputing Center.

    What customers are buying in these cases is less a service that accelerates existing business processes and more research equipment to study and validate quantum computers themselves.

    More hardware sales will raise revenue, but that should not automatically be interpreted as equivalent to widespread industrial demand for quantum computation.

    Quantinuum — continuous cloud access as a different model

    Quantinuum presents a somewhat different case.

    Q2 2026 revenue was $8.00 million (about ¥1.27 billion), a 279% year-over-year increase.

    Notably, Quantinuum cites cloud business as the primary driver of its revenue growth.

    Unlike hardware sales or government contracts, cloud usage can build recurring revenue as long as customers keep using it. However, increased cloud usage does not necessarily mean those computations are generating economic value in customers’ production workflows — research, evaluation, and algorithm development are included.

    Still, how far a model that sells continued access to quantum compute capacity rather than the machines themselves can scale will be an important indicator of commercialization in the quantum industry.

    The same “revenue” can mean very different things

    Summarizing so far, current quantum-company revenue falls into at least the following categories.

    Type of revenueTypical examplesCharacteristics
    Sales of quantum computer hardwareD-Wave, RigettiSingle sales can be large, but revenue timing is project-dependent
    Cloud compute usageQuantinuum, D-Wave, IonQ, RigettiCan become recurring/stock-like if usage is sustained
    Government and R&D contractsInfleqtion, etc.A major source of demand in today’s quantum industry
    Quantum sensing and communicationsIonQ, InfleqtionMarkets outside quantum computing
    Professional services and joint researchVarious firmsPoCs, algorithm development, deployment support, etc.

    On the books, these are all simply revenue.

    But their implications for the industry’s maturity are quite different.

    For example, if a research institution buys a $20 million (about ¥3.18 billion) quantum computer, the manufacturer records about ¥3.18 billion in revenue.

    However, that does not necessarily mean that

    “the quantum computer was purchased because using it will generate more than ¥3.18 billion in economic value”

    It might have been bought as research equipment.

    It might be for national strategy reasons, to maintain domestic quantum computing capability.

    Or it might be an R&D investment to prepare for the future.

    Conversely, if a company pays monthly for quantum compute services and continuously reduces logistics or production costs as a result, the same revenue figure has a very different meaning.

    “Commercial customer” does not mean “a company using quantum computers in production”

    This point deserves special attention when assessing the current quantum industry.

    Quantum companies often report revenue from “commercial customers” or “commercial revenue.”

    D-Wave said 62.4% of Q2 2026 revenue came from commercial customers. IonQ also reports about 60% commercial revenue.

    From the headline numbers, one might conclude

    “Sixty percent of revenue comes from private companies using quantum computers in production.”

    But reading it that way today is almost certainly misleading.

    “Commercial customer” simply denotes a non-government, non-research institutional customer.

    Such a customer may be:

    • evaluating a quantum computer’s performance
    • running a proof of concept (PoC)
    • conducting joint research
    • developing algorithms to prepare for the future
    • experimentally using quantum computers on the cloud
    • purchasing quantum sensing or communications products rather than quantum compute

    Any of these activities can qualify a firm as a commercial customer.

    That is entirely different from saying a quantum computer is integrated into a company’s daily operational systems and continuously delivering superior economic value over classical methods.

    Current quantum computers still face substantial limitations in performance, error rates, problem size, and cost.

    At present, cases where one can externally verify that quantum computing has demonstrated clear economic advantage over classical computing and that companies are paying recurring fees for that reason are virtually non-existent. Although D-Wave and others have published multiple “production applications,” the degree to which QPUs contribute within quantum-classical hybrid processing or the associated economic superiority over traditional methods has not been made fully transparent.

    Therefore, when companies announce “commercial customers are increasing,”

    it is best not to interpret that as “quantum computers have begun to be commonly used in enterprise production.”

    Having commercial customers is not the same as proving quantum computers’ commercial value.

    Revenue growth is not the same as practical quantum computing

    Quantum companies are already generating revenue.

    But that revenue comprises hardware sales, government contracts, PoCs, joint research, cloud usage, sensing, and communications.

    What quantum companies are earning and whether quantum computers have become a technology that earns money in production are still not the same thing.

    To assess the current state of commercialization, one should look less at headline revenue and more at who is paying, for what, and whether the payments are ongoing.

    Related articles

  • IonQ, Q2 2026 revenue up 287% year over year; raises full-year guidance
  • Infleqtion corrects Q2 2026 revenue to $13.5M; raises full-year outlook
  • Quantinuum Q2 2026 revenue up 279% year over year; announces Helios logical fidelity
  • Rigetti Q2 2026 revenue $5.1M; publishes performance of 108-qubit machine
  • D-Wave Q2 2026 revenue $3.1M; first-half bookings increased more than twelvefold
  • conducting joint research
  • developing algorithms to prepare for the future
  • experimentally using quantum computers on the cloud
  • purchasing quantum sensing or communications products rather than quantum compute
  • Any of these activities can qualify a firm as a commercial customer.

    That is entirely different from saying a quantum computer is integrated into a company’s daily operational systems and continuously delivering superior economic value over classical methods.

    Current quantum computers still face substantial limitations in performance, error rates, problem size, and cost.

    At present, cases where one can externally verify that quantum computing has demonstrated clear economic advantage over classical computing and that companies are paying recurring fees for that reason are virtually non-existent. Although D-Wave and others have published multiple “production applications,” the degree to which QPUs contribute within quantum-classical hybrid processing or the associated economic superiority over traditional methods has not been made fully transparent.

    Therefore, when companies announce “commercial customers are increasing,”

    it is best not to interpret that as “quantum computers have begun to be commonly used in enterprise production.”

    Having commercial customers is not the same as proving quantum computers’ commercial value.

    Revenue growth is not the same as practical quantum computing

    Quantum companies are already generating revenue.

    But that revenue comprises hardware sales, government contracts, PoCs, joint research, cloud usage, sensing, and communications.

    What quantum companies are earning and whether quantum computers have become a technology that earns money in production are still not the same thing.

    To assess the current state of commercialization, one should look less at headline revenue and more at who is paying, for what, and whether the payments are ongoing.

    Related articles

  • running a proof of concept (PoC)
  • conducting joint research
  • developing algorithms to prepare for the future
  • experimentally using quantum computers on the cloud
  • purchasing quantum sensing or communications products rather than quantum compute
  • Any of these activities can qualify a firm as a commercial customer.

    That is entirely different from saying a quantum computer is integrated into a company’s daily operational systems and continuously delivering superior economic value over classical methods.

    Current quantum computers still face substantial limitations in performance, error rates, problem size, and cost.

    At present, cases where one can externally verify that quantum computing has demonstrated clear economic advantage over classical computing and that companies are paying recurring fees for that reason are virtually non-existent. Although D-Wave and others have published multiple “production applications,” the degree to which QPUs contribute within quantum-classical hybrid processing or the associated economic superiority over traditional methods has not been made fully transparent.

    Therefore, when companies announce “commercial customers are increasing,”

    it is best not to interpret that as “quantum computers have begun to be commonly used in enterprise production.”

    Having commercial customers is not the same as proving quantum computers’ commercial value.

    Revenue growth is not the same as practical quantum computing

    Quantum companies are already generating revenue.

    But that revenue comprises hardware sales, government contracts, PoCs, joint research, cloud usage, sensing, and communications.

    What quantum companies are earning and whether quantum computers have become a technology that earns money in production are still not the same thing.

    To assess the current state of commercialization, one should look less at headline revenue and more at who is paying, for what, and whether the payments are ongoing.

    Related articles

  • evaluating a quantum computer’s performance
  • running a proof of concept (PoC)
  • conducting joint research
  • developing algorithms to prepare for the future
  • experimentally using quantum computers on the cloud
  • purchasing quantum sensing or communications products rather than quantum compute
  • Any of these activities can qualify a firm as a commercial customer.

    That is entirely different from saying a quantum computer is integrated into a company’s daily operational systems and continuously delivering superior economic value over classical methods.

    Current quantum computers still face substantial limitations in performance, error rates, problem size, and cost.

    At present, cases where one can externally verify that quantum computing has demonstrated clear economic advantage over classical computing and that companies are paying recurring fees for that reason are virtually non-existent. Although D-Wave and others have published multiple “production applications,” the degree to which QPUs contribute within quantum-classical hybrid processing or the associated economic superiority over traditional methods has not been made fully transparent.

    Therefore, when companies announce “commercial customers are increasing,”

    it is best not to interpret that as “quantum computers have begun to be commonly used in enterprise production.”

    Having commercial customers is not the same as proving quantum computers’ commercial value.

    Revenue growth is not the same as practical quantum computing

    Quantum companies are already generating revenue.

    But that revenue comprises hardware sales, government contracts, PoCs, joint research, cloud usage, sensing, and communications.

    What quantum companies are earning and whether quantum computers have become a technology that earns money in production are still not the same thing.

    To assess the current state of commercialization, one should look less at headline revenue and more at who is paying, for what, and whether the payments are ongoing.

    Related articles

    • evaluating a quantum computer’s performance
    • running a proof of concept (PoC)
    • conducting joint research
    • developing algorithms to prepare for the future
    • experimentally using quantum computers on the cloud
    • purchasing quantum sensing or communications products rather than quantum compute

    Any of these activities can qualify a firm as a commercial customer.

    That is entirely different from saying a quantum computer is integrated into a company’s daily operational systems and continuously delivering superior economic value over classical methods.

    Current quantum computers still face substantial limitations in performance, error rates, problem size, and cost.

    At present, cases where one can externally verify that quantum computing has demonstrated clear economic advantage over classical computing and that companies are paying recurring fees for that reason are virtually non-existent. Although D-Wave and others have published multiple “production applications,” the degree to which QPUs contribute within quantum-classical hybrid processing or the associated economic superiority over traditional methods has not been made fully transparent.

    Therefore, when companies announce “commercial customers are increasing,”

    it is best not to interpret that as “quantum computers have begun to be commonly used in enterprise production.”

    Having commercial customers is not the same as proving quantum computers’ commercial value.

    Revenue growth is not the same as practical quantum computing

    Quantum companies are already generating revenue.

    But that revenue comprises hardware sales, government contracts, PoCs, joint research, cloud usage, sensing, and communications.

    What quantum companies are earning and whether quantum computers have become a technology that earns money in production are still not the same thing.

    To assess the current state of commercialization, one should look less at headline revenue and more at who is paying, for what, and whether the payments are ongoing.

    Related articles

    • evaluating a quantum computer’s performance
    • running a proof of concept (PoC)
    • conducting joint research
    • developing algorithms to prepare for the future
    • experimentally using quantum computers on the cloud
    • purchasing quantum sensing or communications products rather than quantum compute

    Any of these activities can qualify a firm as a commercial customer.

    That is entirely different from saying a quantum computer is integrated into a company’s daily operational systems and continuously delivering superior economic value over classical methods.

    Current quantum computers still face substantial limitations in performance, error rates, problem size, and cost.

    At present, cases where one can externally verify that quantum computing has demonstrated clear economic advantage over classical computing and that companies are paying recurring fees for that reason are virtually non-existent. Although D-Wave and others have published multiple “production applications,” the degree to which QPUs contribute within quantum-classical hybrid processing or the associated economic superiority over traditional methods has not been made fully transparent.

    Therefore, when companies announce “commercial customers are increasing,”

    it is best not to interpret that as “quantum computers have begun to be commonly used in enterprise production.”

    Having commercial customers is not the same as proving quantum computers’ commercial value.

    Revenue growth is not the same as practical quantum computing

    Quantum companies are already generating revenue.

    But that revenue comprises hardware sales, government contracts, PoCs, joint research, cloud usage, sensing, and communications.

    What quantum companies are earning and whether quantum computers have become a technology that earns money in production are still not the same thing.

    To assess the current state of commercialization, one should look less at headline revenue and more at who is paying, for what, and whether the payments are ongoing.

    Related articles

    Quantum companies’ revenues have started to rise.

    In Q2 2026, IonQ reported $80.10 million (about ¥12.7 billion), Infleqtion reported $13.50 million (about ¥2.1 billion), Quantinuum reported $8.00 million (about ¥1.27 billion), Rigetti Computing reported $5.10 million (about ¥810 million), and D-Wave Quantum reported $3.10 million (about ¥490 million) in revenue.

    IonQ grew 287% year over year, Quantinuum 279%, and Infleqtion 157%. Looking at the raw numbers, it can appear that the quantum-computing market is rapidly commercializing and monetizing.

    However, what exactly are quantum companies selling to generate these revenues?

    Is it quantum compute time? Physical hardware? Government R&D contracts? Quantum sensing or communications?

    Tracing the current revenue structures of major quantum firms shows that the phrase “commercialization of the quantum market” often contains very different realities than the commonly imagined ‘‘commercialization of quantum computers’’.

    *Currency conversions are approximate, using an exchange rate of $1 ≈ ¥159 as of August 20, 2026.

    IonQ — the $12.7 billion quarter is not purely “quantum compute fees”

    IonQ stands out in Q2 2026.

    Revenue was $80.10 million (about ¥12.7 billion), roughly four times year-over-year and far above other pure-play quantum companies.

    However, it would be inaccurate to interpret this number as “IonQ’s quantum computers were used for about ¥12.7 billion worth of compute.”

    IonQ is no longer a company that only does quantum computing.

    Through successive acquisitions, the company has expanded into quantum networking, quantum security, sensing, photonics, and space-related technologies.

    For Q2 the company said roughly 25% of revenue came from customers using multiple product categories. About 60% of revenue was classified as “commercial,” but the scope of that commercial business has broadened significantly compared with the past.

    The company attributes revenue growth to Tempo quantum computer deployments and cloud usage, as well as demand across its broader “quantum platform.”

    In other words, IonQ’s current revenue should be viewed as

    quantum computing + quantum networking + security + sensing + other quantum-related businesses

    combined.

    While revenue is clearly growing rapidly, that growth alone no longer lets you infer the commercial demand for quantum computers themselves.

    Infleqtion — all quantum, but government contracts remain central

    Infleqtion is also interesting.

    Q2 2026 revenue was $13.50 million (about ¥2.1 billion), a 157% year-over-year increase. The company emphasized that this revenue was “100% organic and entirely from quantum.”

    Unlike IonQ, its growth is not being boosted by acquired non-quantum businesses.

    But “entirely quantum” is not the same as “revenue from commercial use of quantum computers.”

    Infleqtion develops the neutral-atom quantum computer “Sqale,” but it also has significant business lines in atomic clocks and quantum sensing.

    Moreover, government contracts play a large role in the company’s revenue. For example, Infleqtion has a $20 million (about ¥3.18 billion) contract with NASA to develop a spaceborne quantum gravity gradiometer. In Q1 2026 that NASA contract alone increased year-over-year revenue by about $4.0 million (about ¥640 million). The company has also derived revenue from the U.S. Department of Defense, the U.S. Army, the European Space Agency, and Japanese government projects.

    Infleqtion’s revenue is certainly “quantum,” but it includes

    quantum computing, quantum sensing, atomic clocks, and government R&D

    all together.

    Again, revenue from a quantum company should be distinguished from revenue specifically generated by commercial use of quantum computers.

    D-Wave — selling a single machine can change the financials

    D-Wave is one of the clearest examples of the current market structure.

    Q2 2026 revenue was $3.10 million (about ¥490 million), roughly flat year-over-year.

    However, first-half 2025 revenue was $18.10 million (about ¥2.88 billion), while first-half 2026 revenue was $5.90 million (about ¥940 million) — a 67% decline.

    The reason is simple: in the first half of 2025 D-Wave recorded a $13.70 million (about ¥2.18 billion) sale of a quantum computer. Selling one large quantum machine can materially swing annual or quarterly revenue for today’s quantum companies.

    D-Wave also offers a cloud service, Leap, as Quantum Computing as a Service (QCaaS).

    Of Leap’s QCaaS revenue in H1 2026, $1.30 million (about ¥210 million) was classified by D-Wave as revenue from “production applications,” representing 37.3% of total QCaaS revenue. In the prior-year period that figure was $0.30 million (about ¥48 million), or 9.8%.

    On the surface, those numbers suggest that production use of quantum computers is expanding. But this interpretation requires caution.

    Leap provides both direct QPU access and quantum-classical hybrid solvers. The internal workings of the latter are a black box to users: external observers cannot verify whether a QPU was actually used for a given calculation, or to what extent a QPU contributed to the result.

    What these figures do indicate is that D-Wave’s optimization services classified as “production” are being used. They do not definitively quantify the commercial value of the QPU itself.

    D-Wave’s current revenue model combines

    hardware sales + cloud usage + professional services

    with multiple models coexisting.

    Particularly, QCaaS “production” revenue should be read separately from metrics that would directly prove the QPU’s commercial usage.

    Rigetti — selling QPUs as well as offering cloud access

    Rigetti has also broadened how it generates revenue in recent years.

    Q2 2026 revenue was $5.10 million (about ¥810 million). The company attributes revenue growth to sales of the nine-qubit Novera quantum computing system and related products.

    Historically Rigetti provided quantum computing through its cloud QCS and via platforms such as Amazon Braket and Microsoft Azure Quantum.

    More recently, however, sales of QPUs and on-premises quantum systems directly to universities, research institutions, and HPC centers have become notable.

    For example, in Q1 2026 Rigetti sold and shipped a Novera QPU to the University of Saskatchewan in Canada. It is also delivering systems to India’s C-DAC and the Pittsburgh Supercomputing Center.

    What customers are buying in these cases is less a service that accelerates existing business processes and more research equipment to study and validate quantum computers themselves.

    More hardware sales will raise revenue, but that should not automatically be interpreted as equivalent to widespread industrial demand for quantum computation.

    Quantinuum — continuous cloud access as a different model

    Quantinuum presents a somewhat different case.

    Q2 2026 revenue was $8.00 million (about ¥1.27 billion), a 279% year-over-year increase.

    Notably, Quantinuum cites cloud business as the primary driver of its revenue growth.

    Unlike hardware sales or government contracts, cloud usage can build recurring revenue as long as customers keep using it. However, increased cloud usage does not necessarily mean those computations are generating economic value in customers’ production workflows — research, evaluation, and algorithm development are included.

    Still, how far a model that sells continued access to quantum compute capacity rather than the machines themselves can scale will be an important indicator of commercialization in the quantum industry.

    The same “revenue” can mean very different things

    Summarizing so far, current quantum-company revenue falls into at least the following categories.

    Type of revenueTypical examplesCharacteristics
    Sales of quantum computer hardwareD-Wave, RigettiSingle sales can be large, but revenue timing is project-dependent
    Cloud compute usageQuantinuum, D-Wave, IonQ, RigettiCan become recurring/stock-like if usage is sustained
    Government and R&D contractsInfleqtion, etc.A major source of demand in today’s quantum industry
    Quantum sensing and communicationsIonQ, InfleqtionMarkets outside quantum computing
    Professional services and joint researchVarious firmsPoCs, algorithm development, deployment support, etc.

    On the books, these are all simply revenue.

    But their implications for the industry’s maturity are quite different.

    For example, if a research institution buys a $20 million (about ¥3.18 billion) quantum computer, the manufacturer records about ¥3.18 billion in revenue.

    However, that does not necessarily mean that

    “the quantum computer was purchased because using it will generate more than ¥3.18 billion in economic value”

    It might have been bought as research equipment.

    It might be for national strategy reasons, to maintain domestic quantum computing capability.

    Or it might be an R&D investment to prepare for the future.

    Conversely, if a company pays monthly for quantum compute services and continuously reduces logistics or production costs as a result, the same revenue figure has a very different meaning.

    “Commercial customer” does not mean “a company using quantum computers in production”

    This point deserves special attention when assessing the current quantum industry.

    Quantum companies often report revenue from “commercial customers” or “commercial revenue.”

    D-Wave said 62.4% of Q2 2026 revenue came from commercial customers. IonQ also reports about 60% commercial revenue.

    From the headline numbers, one might conclude

    “Sixty percent of revenue comes from private companies using quantum computers in production.”

    But reading it that way today is almost certainly misleading.

    “Commercial customer” simply denotes a non-government, non-research institutional customer.

    Such a customer may be:

    • evaluating a quantum computer’s performance
    • running a proof of concept (PoC)
    • conducting joint research
    • developing algorithms to prepare for the future
    • experimentally using quantum computers on the cloud
    • purchasing quantum sensing or communications products rather than quantum compute

    Any of these activities can qualify a firm as a commercial customer.

    That is entirely different from saying a quantum computer is integrated into a company’s daily operational systems and continuously delivering superior economic value over classical methods.

    Current quantum computers still face substantial limitations in performance, error rates, problem size, and cost.

    At present, cases where one can externally verify that quantum computing has demonstrated clear economic advantage over classical computing and that companies are paying recurring fees for that reason are virtually non-existent. Although D-Wave and others have published multiple “production applications,” the degree to which QPUs contribute within quantum-classical hybrid processing or the associated economic superiority over traditional methods has not been made fully transparent.

    Therefore, when companies announce “commercial customers are increasing,”

    it is best not to interpret that as “quantum computers have begun to be commonly used in enterprise production.”

    Having commercial customers is not the same as proving quantum computers’ commercial value.

    Revenue growth is not the same as practical quantum computing

    Quantum companies are already generating revenue.

    But that revenue comprises hardware sales, government contracts, PoCs, joint research, cloud usage, sensing, and communications.

    What quantum companies are earning and whether quantum computers have become a technology that earns money in production are still not the same thing.

    To assess the current state of commercialization, one should look less at headline revenue and more at who is paying, for what, and whether the payments are ongoing.

    Related articles

  • conducting joint research
  • developing algorithms to prepare for the future
  • experimentally using quantum computers on the cloud
  • purchasing quantum sensing or communications products rather than quantum compute
  • Any of these activities can qualify a firm as a commercial customer.

    That is entirely different from saying a quantum computer is integrated into a company’s daily operational systems and continuously delivering superior economic value over classical methods.

    Current quantum computers still face substantial limitations in performance, error rates, problem size, and cost.

    At present, cases where one can externally verify that quantum computing has demonstrated clear economic advantage over classical computing and that companies are paying recurring fees for that reason are virtually non-existent. Although D-Wave and others have published multiple “production applications,” the degree to which QPUs contribute within quantum-classical hybrid processing or the associated economic superiority over traditional methods has not been made fully transparent.

    Therefore, when companies announce “commercial customers are increasing,”

    it is best not to interpret that as “quantum computers have begun to be commonly used in enterprise production.”

    Having commercial customers is not the same as proving quantum computers’ commercial value.

    Revenue growth is not the same as practical quantum computing

    Quantum companies are already generating revenue.

    But that revenue comprises hardware sales, government contracts, PoCs, joint research, cloud usage, sensing, and communications.

    What quantum companies are earning and whether quantum computers have become a technology that earns money in production are still not the same thing.

    To assess the current state of commercialization, one should look less at headline revenue and more at who is paying, for what, and whether the payments are ongoing.

    Related articles

  • running a proof of concept (PoC)
  • conducting joint research
  • developing algorithms to prepare for the future
  • experimentally using quantum computers on the cloud
  • purchasing quantum sensing or communications products rather than quantum compute
  • Any of these activities can qualify a firm as a commercial customer.

    That is entirely different from saying a quantum computer is integrated into a company’s daily operational systems and continuously delivering superior economic value over classical methods.

    Current quantum computers still face substantial limitations in performance, error rates, problem size, and cost.

    At present, cases where one can externally verify that quantum computing has demonstrated clear economic advantage over classical computing and that companies are paying recurring fees for that reason are virtually non-existent. Although D-Wave and others have published multiple “production applications,” the degree to which QPUs contribute within quantum-classical hybrid processing or the associated economic superiority over traditional methods has not been made fully transparent.

    Therefore, when companies announce “commercial customers are increasing,”

    it is best not to interpret that as “quantum computers have begun to be commonly used in enterprise production.”

    Having commercial customers is not the same as proving quantum computers’ commercial value.

    Revenue growth is not the same as practical quantum computing

    Quantum companies are already generating revenue.

    But that revenue comprises hardware sales, government contracts, PoCs, joint research, cloud usage, sensing, and communications.

    What quantum companies are earning and whether quantum computers have become a technology that earns money in production are still not the same thing.

    To assess the current state of commercialization, one should look less at headline revenue and more at who is paying, for what, and whether the payments are ongoing.

    Related articles

  • evaluating a quantum computer’s performance
  • running a proof of concept (PoC)
  • conducting joint research
  • developing algorithms to prepare for the future
  • experimentally using quantum computers on the cloud
  • purchasing quantum sensing or communications products rather than quantum compute
  • Any of these activities can qualify a firm as a commercial customer.

    That is entirely different from saying a quantum computer is integrated into a company’s daily operational systems and continuously delivering superior economic value over classical methods.

    Current quantum computers still face substantial limitations in performance, error rates, problem size, and cost.

    At present, cases where one can externally verify that quantum computing has demonstrated clear economic advantage over classical computing and that companies are paying recurring fees for that reason are virtually non-existent. Although D-Wave and others have published multiple “production applications,” the degree to which QPUs contribute within quantum-classical hybrid processing or the associated economic superiority over traditional methods has not been made fully transparent.

    Therefore, when companies announce “commercial customers are increasing,”

    it is best not to interpret that as “quantum computers have begun to be commonly used in enterprise production.”

    Having commercial customers is not the same as proving quantum computers’ commercial value.

    Revenue growth is not the same as practical quantum computing

    Quantum companies are already generating revenue.

    But that revenue comprises hardware sales, government contracts, PoCs, joint research, cloud usage, sensing, and communications.

    What quantum companies are earning and whether quantum computers have become a technology that earns money in production are still not the same thing.

    To assess the current state of commercialization, one should look less at headline revenue and more at who is paying, for what, and whether the payments are ongoing.

    Related articles

    • evaluating a quantum computer’s performance
    • running a proof of concept (PoC)
    • conducting joint research
    • developing algorithms to prepare for the future
    • experimentally using quantum computers on the cloud
    • purchasing quantum sensing or communications products rather than quantum compute

    Any of these activities can qualify a firm as a commercial customer.

    That is entirely different from saying a quantum computer is integrated into a company’s daily operational systems and continuously delivering superior economic value over classical methods.

    Current quantum computers still face substantial limitations in performance, error rates, problem size, and cost.

    At present, cases where one can externally verify that quantum computing has demonstrated clear economic advantage over classical computing and that companies are paying recurring fees for that reason are virtually non-existent. Although D-Wave and others have published multiple “production applications,” the degree to which QPUs contribute within quantum-classical hybrid processing or the associated economic superiority over traditional methods has not been made fully transparent.

    Therefore, when companies announce “commercial customers are increasing,”

    it is best not to interpret that as “quantum computers have begun to be commonly used in enterprise production.”

    Having commercial customers is not the same as proving quantum computers’ commercial value.

    Revenue growth is not the same as practical quantum computing

    Quantum companies are already generating revenue.

    But that revenue comprises hardware sales, government contracts, PoCs, joint research, cloud usage, sensing, and communications.

    What quantum companies are earning and whether quantum computers have become a technology that earns money in production are still not the same thing.

    To assess the current state of commercialization, one should look less at headline revenue and more at who is paying, for what, and whether the payments are ongoing.

    Related articles

    • evaluating a quantum computer’s performance
    • running a proof of concept (PoC)
    • conducting joint research
    • developing algorithms to prepare for the future
    • experimentally using quantum computers on the cloud
    • purchasing quantum sensing or communications products rather than quantum compute

    Any of these activities can qualify a firm as a commercial customer.

    That is entirely different from saying a quantum computer is integrated into a company’s daily operational systems and continuously delivering superior economic value over classical methods.

    Current quantum computers still face substantial limitations in performance, error rates, problem size, and cost.

    At present, cases where one can externally verify that quantum computing has demonstrated clear economic advantage over classical computing and that companies are paying recurring fees for that reason are virtually non-existent. Although D-Wave and others have published multiple “production applications,” the degree to which QPUs contribute within quantum-classical hybrid processing or the associated economic superiority over traditional methods has not been made fully transparent.

    Therefore, when companies announce “commercial customers are increasing,”

    it is best not to interpret that as “quantum computers have begun to be commonly used in enterprise production.”

    Having commercial customers is not the same as proving quantum computers’ commercial value.

    Revenue growth is not the same as practical quantum computing

    Quantum companies are already generating revenue.

    But that revenue comprises hardware sales, government contracts, PoCs, joint research, cloud usage, sensing, and communications.

    What quantum companies are earning and whether quantum computers have become a technology that earns money in production are still not the same thing.

    To assess the current state of commercialization, one should look less at headline revenue and more at who is paying, for what, and whether the payments are ongoing.

    Related articles

    Quantum companies’ revenues have started to rise.

    In Q2 2026, IonQ reported $80.10 million (about ¥12.7 billion), Infleqtion reported $13.50 million (about ¥2.1 billion), Quantinuum reported $8.00 million (about ¥1.27 billion), Rigetti Computing reported $5.10 million (about ¥810 million), and D-Wave Quantum reported $3.10 million (about ¥490 million) in revenue.

    IonQ grew 287% year over year, Quantinuum 279%, and Infleqtion 157%. Looking at the raw numbers, it can appear that the quantum-computing market is rapidly commercializing and monetizing.

    However, what exactly are quantum companies selling to generate these revenues?

    Is it quantum compute time? Physical hardware? Government R&D contracts? Quantum sensing or communications?

    Tracing the current revenue structures of major quantum firms shows that the phrase “commercialization of the quantum market” often contains very different realities than the commonly imagined ‘‘commercialization of quantum computers’’.

    *Currency conversions are approximate, using an exchange rate of $1 ≈ ¥159 as of August 20, 2026.

    IonQ — the $12.7 billion quarter is not purely “quantum compute fees”

    IonQ stands out in Q2 2026.

    Revenue was $80.10 million (about ¥12.7 billion), roughly four times year-over-year and far above other pure-play quantum companies.

    However, it would be inaccurate to interpret this number as “IonQ’s quantum computers were used for about ¥12.7 billion worth of compute.”

    IonQ is no longer a company that only does quantum computing.

    Through successive acquisitions, the company has expanded into quantum networking, quantum security, sensing, photonics, and space-related technologies.

    For Q2 the company said roughly 25% of revenue came from customers using multiple product categories. About 60% of revenue was classified as “commercial,” but the scope of that commercial business has broadened significantly compared with the past.

    The company attributes revenue growth to Tempo quantum computer deployments and cloud usage, as well as demand across its broader “quantum platform.”

    In other words, IonQ’s current revenue should be viewed as

    quantum computing + quantum networking + security + sensing + other quantum-related businesses

    combined.

    While revenue is clearly growing rapidly, that growth alone no longer lets you infer the commercial demand for quantum computers themselves.

    Infleqtion — all quantum, but government contracts remain central

    Infleqtion is also interesting.

    Q2 2026 revenue was $13.50 million (about ¥2.1 billion), a 157% year-over-year increase. The company emphasized that this revenue was “100% organic and entirely from quantum.”

    Unlike IonQ, its growth is not being boosted by acquired non-quantum businesses.

    But “entirely quantum” is not the same as “revenue from commercial use of quantum computers.”

    Infleqtion develops the neutral-atom quantum computer “Sqale,” but it also has significant business lines in atomic clocks and quantum sensing.

    Moreover, government contracts play a large role in the company’s revenue. For example, Infleqtion has a $20 million (about ¥3.18 billion) contract with NASA to develop a spaceborne quantum gravity gradiometer. In Q1 2026 that NASA contract alone increased year-over-year revenue by about $4.0 million (about ¥640 million). The company has also derived revenue from the U.S. Department of Defense, the U.S. Army, the European Space Agency, and Japanese government projects.

    Infleqtion’s revenue is certainly “quantum,” but it includes

    quantum computing, quantum sensing, atomic clocks, and government R&D

    all together.

    Again, revenue from a quantum company should be distinguished from revenue specifically generated by commercial use of quantum computers.

    D-Wave — selling a single machine can change the financials

    D-Wave is one of the clearest examples of the current market structure.

    Q2 2026 revenue was $3.10 million (about ¥490 million), roughly flat year-over-year.

    However, first-half 2025 revenue was $18.10 million (about ¥2.88 billion), while first-half 2026 revenue was $5.90 million (about ¥940 million) — a 67% decline.

    The reason is simple: in the first half of 2025 D-Wave recorded a $13.70 million (about ¥2.18 billion) sale of a quantum computer. Selling one large quantum machine can materially swing annual or quarterly revenue for today’s quantum companies.

    D-Wave also offers a cloud service, Leap, as Quantum Computing as a Service (QCaaS).

    Of Leap’s QCaaS revenue in H1 2026, $1.30 million (about ¥210 million) was classified by D-Wave as revenue from “production applications,” representing 37.3% of total QCaaS revenue. In the prior-year period that figure was $0.30 million (about ¥48 million), or 9.8%.

    On the surface, those numbers suggest that production use of quantum computers is expanding. But this interpretation requires caution.

    Leap provides both direct QPU access and quantum-classical hybrid solvers. The internal workings of the latter are a black box to users: external observers cannot verify whether a QPU was actually used for a given calculation, or to what extent a QPU contributed to the result.

    What these figures do indicate is that D-Wave’s optimization services classified as “production” are being used. They do not definitively quantify the commercial value of the QPU itself.

    D-Wave’s current revenue model combines

    hardware sales + cloud usage + professional services

    with multiple models coexisting.

    Particularly, QCaaS “production” revenue should be read separately from metrics that would directly prove the QPU’s commercial usage.

    Rigetti — selling QPUs as well as offering cloud access

    Rigetti has also broadened how it generates revenue in recent years.

    Q2 2026 revenue was $5.10 million (about ¥810 million). The company attributes revenue growth to sales of the nine-qubit Novera quantum computing system and related products.

    Historically Rigetti provided quantum computing through its cloud QCS and via platforms such as Amazon Braket and Microsoft Azure Quantum.

    More recently, however, sales of QPUs and on-premises quantum systems directly to universities, research institutions, and HPC centers have become notable.

    For example, in Q1 2026 Rigetti sold and shipped a Novera QPU to the University of Saskatchewan in Canada. It is also delivering systems to India’s C-DAC and the Pittsburgh Supercomputing Center.

    What customers are buying in these cases is less a service that accelerates existing business processes and more research equipment to study and validate quantum computers themselves.

    More hardware sales will raise revenue, but that should not automatically be interpreted as equivalent to widespread industrial demand for quantum computation.

    Quantinuum — continuous cloud access as a different model

    Quantinuum presents a somewhat different case.

    Q2 2026 revenue was $8.00 million (about ¥1.27 billion), a 279% year-over-year increase.

    Notably, Quantinuum cites cloud business as the primary driver of its revenue growth.

    Unlike hardware sales or government contracts, cloud usage can build recurring revenue as long as customers keep using it. However, increased cloud usage does not necessarily mean those computations are generating economic value in customers’ production workflows — research, evaluation, and algorithm development are included.

    Still, how far a model that sells continued access to quantum compute capacity rather than the machines themselves can scale will be an important indicator of commercialization in the quantum industry.

    The same “revenue” can mean very different things

    Summarizing so far, current quantum-company revenue falls into at least the following categories.

    Type of revenueTypical examplesCharacteristics
    Sales of quantum computer hardwareD-Wave, RigettiSingle sales can be large, but revenue timing is project-dependent
    Cloud compute usageQuantinuum, D-Wave, IonQ, RigettiCan become recurring/stock-like if usage is sustained
    Government and R&D contractsInfleqtion, etc.A major source of demand in today’s quantum industry
    Quantum sensing and communicationsIonQ, InfleqtionMarkets outside quantum computing
    Professional services and joint researchVarious firmsPoCs, algorithm development, deployment support, etc.

    On the books, these are all simply revenue.

    But their implications for the industry’s maturity are quite different.

    For example, if a research institution buys a $20 million (about ¥3.18 billion) quantum computer, the manufacturer records about ¥3.18 billion in revenue.

    However, that does not necessarily mean that

    “the quantum computer was purchased because using it will generate more than ¥3.18 billion in economic value”

    It might have been bought as research equipment.

    It might be for national strategy reasons, to maintain domestic quantum computing capability.

    Or it might be an R&D investment to prepare for the future.

    Conversely, if a company pays monthly for quantum compute services and continuously reduces logistics or production costs as a result, the same revenue figure has a very different meaning.

    “Commercial customer” does not mean “a company using quantum computers in production”

    This point deserves special attention when assessing the current quantum industry.

    Quantum companies often report revenue from “commercial customers” or “commercial revenue.”

    D-Wave said 62.4% of Q2 2026 revenue came from commercial customers. IonQ also reports about 60% commercial revenue.

    From the headline numbers, one might conclude

    “Sixty percent of revenue comes from private companies using quantum computers in production.”

    But reading it that way today is almost certainly misleading.

    “Commercial customer” simply denotes a non-government, non-research institutional customer.

    Such a customer may be:

    • evaluating a quantum computer’s performance
    • running a proof of concept (PoC)
    • conducting joint research
    • developing algorithms to prepare for the future
    • experimentally using quantum computers on the cloud
    • purchasing quantum sensing or communications products rather than quantum compute

    Any of these activities can qualify a firm as a commercial customer.

    That is entirely different from saying a quantum computer is integrated into a company’s daily operational systems and continuously delivering superior economic value over classical methods.

    Current quantum computers still face substantial limitations in performance, error rates, problem size, and cost.

    At present, cases where one can externally verify that quantum computing has demonstrated clear economic advantage over classical computing and that companies are paying recurring fees for that reason are virtually non-existent. Although D-Wave and others have published multiple “production applications,” the degree to which QPUs contribute within quantum-classical hybrid processing or the associated economic superiority over traditional methods has not been made fully transparent.

    Therefore, when companies announce “commercial customers are increasing,”

    it is best not to interpret that as “quantum computers have begun to be commonly used in enterprise production.”

    Having commercial customers is not the same as proving quantum computers’ commercial value.

    Revenue growth is not the same as practical quantum computing

    Quantum companies are already generating revenue.

    But that revenue comprises hardware sales, government contracts, PoCs, joint research, cloud usage, sensing, and communications.

    What quantum companies are earning and whether quantum computers have become a technology that earns money in production are still not the same thing.

    To assess the current state of commercialization, one should look less at headline revenue and more at who is paying, for what, and whether the payments are ongoing.

    Related articles

  • conducting joint research
  • developing algorithms to prepare for the future
  • experimentally using quantum computers on the cloud
  • purchasing quantum sensing or communications products rather than quantum compute
  • Any of these activities can qualify a firm as a commercial customer.

    That is entirely different from saying a quantum computer is integrated into a company’s daily operational systems and continuously delivering superior economic value over classical methods.

    Current quantum computers still face substantial limitations in performance, error rates, problem size, and cost.

    At present, cases where one can externally verify that quantum computing has demonstrated clear economic advantage over classical computing and that companies are paying recurring fees for that reason are virtually non-existent. Although D-Wave and others have published multiple “production applications,” the degree to which QPUs contribute within quantum-classical hybrid processing or the associated economic superiority over traditional methods has not been made fully transparent.

    Therefore, when companies announce “commercial customers are increasing,”

    it is best not to interpret that as “quantum computers have begun to be commonly used in enterprise production.”

    Having commercial customers is not the same as proving quantum computers’ commercial value.

    Revenue growth is not the same as practical quantum computing

    Quantum companies are already generating revenue.

    But that revenue comprises hardware sales, government contracts, PoCs, joint research, cloud usage, sensing, and communications.

    What quantum companies are earning and whether quantum computers have become a technology that earns money in production are still not the same thing.

    To assess the current state of commercialization, one should look less at headline revenue and more at who is paying, for what, and whether the payments are ongoing.

    Related articles

  • running a proof of concept (PoC)
  • conducting joint research
  • developing algorithms to prepare for the future
  • experimentally using quantum computers on the cloud
  • purchasing quantum sensing or communications products rather than quantum compute
  • Any of these activities can qualify a firm as a commercial customer.

    That is entirely different from saying a quantum computer is integrated into a company’s daily operational systems and continuously delivering superior economic value over classical methods.

    Current quantum computers still face substantial limitations in performance, error rates, problem size, and cost.

    At present, cases where one can externally verify that quantum computing has demonstrated clear economic advantage over classical computing and that companies are paying recurring fees for that reason are virtually non-existent. Although D-Wave and others have published multiple “production applications,” the degree to which QPUs contribute within quantum-classical hybrid processing or the associated economic superiority over traditional methods has not been made fully transparent.

    Therefore, when companies announce “commercial customers are increasing,”

    it is best not to interpret that as “quantum computers have begun to be commonly used in enterprise production.”

    Having commercial customers is not the same as proving quantum computers’ commercial value.

    Revenue growth is not the same as practical quantum computing

    Quantum companies are already generating revenue.

    But that revenue comprises hardware sales, government contracts, PoCs, joint research, cloud usage, sensing, and communications.

    What quantum companies are earning and whether quantum computers have become a technology that earns money in production are still not the same thing.

    To assess the current state of commercialization, one should look less at headline revenue and more at who is paying, for what, and whether the payments are ongoing.

    Related articles

  • evaluating a quantum computer’s performance
  • running a proof of concept (PoC)
  • conducting joint research
  • developing algorithms to prepare for the future
  • experimentally using quantum computers on the cloud
  • purchasing quantum sensing or communications products rather than quantum compute
  • Any of these activities can qualify a firm as a commercial customer.

    That is entirely different from saying a quantum computer is integrated into a company’s daily operational systems and continuously delivering superior economic value over classical methods.

    Current quantum computers still face substantial limitations in performance, error rates, problem size, and cost.

    At present, cases where one can externally verify that quantum computing has demonstrated clear economic advantage over classical computing and that companies are paying recurring fees for that reason are virtually non-existent. Although D-Wave and others have published multiple “production applications,” the degree to which QPUs contribute within quantum-classical hybrid processing or the associated economic superiority over traditional methods has not been made fully transparent.

    Therefore, when companies announce “commercial customers are increasing,”

    it is best not to interpret that as “quantum computers have begun to be commonly used in enterprise production.”

    Having commercial customers is not the same as proving quantum computers’ commercial value.

    Revenue growth is not the same as practical quantum computing

    Quantum companies are already generating revenue.

    But that revenue comprises hardware sales, government contracts, PoCs, joint research, cloud usage, sensing, and communications.

    What quantum companies are earning and whether quantum computers have become a technology that earns money in production are still not the same thing.

    To assess the current state of commercialization, one should look less at headline revenue and more at who is paying, for what, and whether the payments are ongoing.

    Related articles

    • evaluating a quantum computer’s performance
    • running a proof of concept (PoC)
    • conducting joint research
    • developing algorithms to prepare for the future
    • experimentally using quantum computers on the cloud
    • purchasing quantum sensing or communications products rather than quantum compute

    Any of these activities can qualify a firm as a commercial customer.

    That is entirely different from saying a quantum computer is integrated into a company’s daily operational systems and continuously delivering superior economic value over classical methods.

    Current quantum computers still face substantial limitations in performance, error rates, problem size, and cost.

    At present, cases where one can externally verify that quantum computing has demonstrated clear economic advantage over classical computing and that companies are paying recurring fees for that reason are virtually non-existent. Although D-Wave and others have published multiple “production applications,” the degree to which QPUs contribute within quantum-classical hybrid processing or the associated economic superiority over traditional methods has not been made fully transparent.

    Therefore, when companies announce “commercial customers are increasing,”

    it is best not to interpret that as “quantum computers have begun to be commonly used in enterprise production.”

    Having commercial customers is not the same as proving quantum computers’ commercial value.

    Revenue growth is not the same as practical quantum computing

    Quantum companies are already generating revenue.

    But that revenue comprises hardware sales, government contracts, PoCs, joint research, cloud usage, sensing, and communications.

    What quantum companies are earning and whether quantum computers have become a technology that earns money in production are still not the same thing.

    To assess the current state of commercialization, one should look less at headline revenue and more at who is paying, for what, and whether the payments are ongoing.

    Related articles

    • evaluating a quantum computer’s performance
    • running a proof of concept (PoC)
    • conducting joint research
    • developing algorithms to prepare for the future
    • experimentally using quantum computers on the cloud
    • purchasing quantum sensing or communications products rather than quantum compute

    Any of these activities can qualify a firm as a commercial customer.

    That is entirely different from saying a quantum computer is integrated into a company’s daily operational systems and continuously delivering superior economic value over classical methods.

    Current quantum computers still face substantial limitations in performance, error rates, problem size, and cost.

    At present, cases where one can externally verify that quantum computing has demonstrated clear economic advantage over classical computing and that companies are paying recurring fees for that reason are virtually non-existent. Although D-Wave and others have published multiple “production applications,” the degree to which QPUs contribute within quantum-classical hybrid processing or the associated economic superiority over traditional methods has not been made fully transparent.

    Therefore, when companies announce “commercial customers are increasing,”

    it is best not to interpret that as “quantum computers have begun to be commonly used in enterprise production.”

    Having commercial customers is not the same as proving quantum computers’ commercial value.

    Revenue growth is not the same as practical quantum computing

    Quantum companies are already generating revenue.

    But that revenue comprises hardware sales, government contracts, PoCs, joint research, cloud usage, sensing, and communications.

    What quantum companies are earning and whether quantum computers have become a technology that earns money in production are still not the same thing.

    To assess the current state of commercialization, one should look less at headline revenue and more at who is paying, for what, and whether the payments are ongoing.

    Related articles

    Quantum companies’ revenues have started to rise.

    In Q2 2026, IonQ reported $80.10 million (about ¥12.7 billion), Infleqtion reported $13.50 million (about ¥2.1 billion), Quantinuum reported $8.00 million (about ¥1.27 billion), Rigetti Computing reported $5.10 million (about ¥810 million), and D-Wave Quantum reported $3.10 million (about ¥490 million) in revenue.

    IonQ grew 287% year over year, Quantinuum 279%, and Infleqtion 157%. Looking at the raw numbers, it can appear that the quantum-computing market is rapidly commercializing and monetizing.

    However, what exactly are quantum companies selling to generate these revenues?

    Is it quantum compute time? Physical hardware? Government R&D contracts? Quantum sensing or communications?

    Tracing the current revenue structures of major quantum firms shows that the phrase “commercialization of the quantum market” often contains very different realities than the commonly imagined ‘‘commercialization of quantum computers’’.

    *Currency conversions are approximate, using an exchange rate of $1 ≈ ¥159 as of August 20, 2026.

    IonQ — the $12.7 billion quarter is not purely “quantum compute fees”

    IonQ stands out in Q2 2026.

    Revenue was $80.10 million (about ¥12.7 billion), roughly four times year-over-year and far above other pure-play quantum companies.

    However, it would be inaccurate to interpret this number as “IonQ’s quantum computers were used for about ¥12.7 billion worth of compute.”

    IonQ is no longer a company that only does quantum computing.

    Through successive acquisitions, the company has expanded into quantum networking, quantum security, sensing, photonics, and space-related technologies.

    For Q2 the company said roughly 25% of revenue came from customers using multiple product categories. About 60% of revenue was classified as “commercial,” but the scope of that commercial business has broadened significantly compared with the past.

    The company attributes revenue growth to Tempo quantum computer deployments and cloud usage, as well as demand across its broader “quantum platform.”

    In other words, IonQ’s current revenue should be viewed as

    quantum computing + quantum networking + security + sensing + other quantum-related businesses

    combined.

    While revenue is clearly growing rapidly, that growth alone no longer lets you infer the commercial demand for quantum computers themselves.

    Infleqtion — all quantum, but government contracts remain central

    Infleqtion is also interesting.

    Q2 2026 revenue was $13.50 million (about ¥2.1 billion), a 157% year-over-year increase. The company emphasized that this revenue was “100% organic and entirely from quantum.”

    Unlike IonQ, its growth is not being boosted by acquired non-quantum businesses.

    But “entirely quantum” is not the same as “revenue from commercial use of quantum computers.”

    Infleqtion develops the neutral-atom quantum computer “Sqale,” but it also has significant business lines in atomic clocks and quantum sensing.

    Moreover, government contracts play a large role in the company’s revenue. For example, Infleqtion has a $20 million (about ¥3.18 billion) contract with NASA to develop a spaceborne quantum gravity gradiometer. In Q1 2026 that NASA contract alone increased year-over-year revenue by about $4.0 million (about ¥640 million). The company has also derived revenue from the U.S. Department of Defense, the U.S. Army, the European Space Agency, and Japanese government projects.

    Infleqtion’s revenue is certainly “quantum,” but it includes

    quantum computing, quantum sensing, atomic clocks, and government R&D

    all together.

    Again, revenue from a quantum company should be distinguished from revenue specifically generated by commercial use of quantum computers.

    D-Wave — selling a single machine can change the financials

    D-Wave is one of the clearest examples of the current market structure.

    Q2 2026 revenue was $3.10 million (about ¥490 million), roughly flat year-over-year.

    However, first-half 2025 revenue was $18.10 million (about ¥2.88 billion), while first-half 2026 revenue was $5.90 million (about ¥940 million) — a 67% decline.

    The reason is simple: in the first half of 2025 D-Wave recorded a $13.70 million (about ¥2.18 billion) sale of a quantum computer. Selling one large quantum machine can materially swing annual or quarterly revenue for today’s quantum companies.

    D-Wave also offers a cloud service, Leap, as Quantum Computing as a Service (QCaaS).

    Of Leap’s QCaaS revenue in H1 2026, $1.30 million (about ¥210 million) was classified by D-Wave as revenue from “production applications,” representing 37.3% of total QCaaS revenue. In the prior-year period that figure was $0.30 million (about ¥48 million), or 9.8%.

    On the surface, those numbers suggest that production use of quantum computers is expanding. But this interpretation requires caution.

    Leap provides both direct QPU access and quantum-classical hybrid solvers. The internal workings of the latter are a black box to users: external observers cannot verify whether a QPU was actually used for a given calculation, or to what extent a QPU contributed to the result.

    What these figures do indicate is that D-Wave’s optimization services classified as “production” are being used. They do not definitively quantify the commercial value of the QPU itself.

    D-Wave’s current revenue model combines

    hardware sales + cloud usage + professional services

    with multiple models coexisting.

    Particularly, QCaaS “production” revenue should be read separately from metrics that would directly prove the QPU’s commercial usage.

    Rigetti — selling QPUs as well as offering cloud access

    Rigetti has also broadened how it generates revenue in recent years.

    Q2 2026 revenue was $5.10 million (about ¥810 million). The company attributes revenue growth to sales of the nine-qubit Novera quantum computing system and related products.

    Historically Rigetti provided quantum computing through its cloud QCS and via platforms such as Amazon Braket and Microsoft Azure Quantum.

    More recently, however, sales of QPUs and on-premises quantum systems directly to universities, research institutions, and HPC centers have become notable.

    For example, in Q1 2026 Rigetti sold and shipped a Novera QPU to the University of Saskatchewan in Canada. It is also delivering systems to India’s C-DAC and the Pittsburgh Supercomputing Center.

    What customers are buying in these cases is less a service that accelerates existing business processes and more research equipment to study and validate quantum computers themselves.

    More hardware sales will raise revenue, but that should not automatically be interpreted as equivalent to widespread industrial demand for quantum computation.

    Quantinuum — continuous cloud access as a different model

    Quantinuum presents a somewhat different case.

    Q2 2026 revenue was $8.00 million (about ¥1.27 billion), a 279% year-over-year increase.

    Notably, Quantinuum cites cloud business as the primary driver of its revenue growth.

    Unlike hardware sales or government contracts, cloud usage can build recurring revenue as long as customers keep using it. However, increased cloud usage does not necessarily mean those computations are generating economic value in customers’ production workflows — research, evaluation, and algorithm development are included.

    Still, how far a model that sells continued access to quantum compute capacity rather than the machines themselves can scale will be an important indicator of commercialization in the quantum industry.

    The same “revenue” can mean very different things

    Summarizing so far, current quantum-company revenue falls into at least the following categories.

    Type of revenueTypical examplesCharacteristics
    Sales of quantum computer hardwareD-Wave, RigettiSingle sales can be large, but revenue timing is project-dependent
    Cloud compute usageQuantinuum, D-Wave, IonQ, RigettiCan become recurring/stock-like if usage is sustained
    Government and R&D contractsInfleqtion, etc.A major source of demand in today’s quantum industry
    Quantum sensing and communicationsIonQ, InfleqtionMarkets outside quantum computing
    Professional services and joint researchVarious firmsPoCs, algorithm development, deployment support, etc.

    On the books, these are all simply revenue.

    But their implications for the industry’s maturity are quite different.

    For example, if a research institution buys a $20 million (about ¥3.18 billion) quantum computer, the manufacturer records about ¥3.18 billion in revenue.

    However, that does not necessarily mean that

    “the quantum computer was purchased because using it will generate more than ¥3.18 billion in economic value”

    It might have been bought as research equipment.

    It might be for national strategy reasons, to maintain domestic quantum computing capability.

    Or it might be an R&D investment to prepare for the future.

    Conversely, if a company pays monthly for quantum compute services and continuously reduces logistics or production costs as a result, the same revenue figure has a very different meaning.

    “Commercial customer” does not mean “a company using quantum computers in production”

    This point deserves special attention when assessing the current quantum industry.

    Quantum companies often report revenue from “commercial customers” or “commercial revenue.”

    D-Wave said 62.4% of Q2 2026 revenue came from commercial customers. IonQ also reports about 60% commercial revenue.

    From the headline numbers, one might conclude

    “Sixty percent of revenue comes from private companies using quantum computers in production.”

    But reading it that way today is almost certainly misleading.

    “Commercial customer” simply denotes a non-government, non-research institutional customer.

    Such a customer may be:

    • evaluating a quantum computer’s performance
    • running a proof of concept (PoC)
    • conducting joint research
    • developing algorithms to prepare for the future
    • experimentally using quantum computers on the cloud
    • purchasing quantum sensing or communications products rather than quantum compute

    Any of these activities can qualify a firm as a commercial customer.

    That is entirely different from saying a quantum computer is integrated into a company’s daily operational systems and continuously delivering superior economic value over classical methods.

    Current quantum computers still face substantial limitations in performance, error rates, problem size, and cost.

    At present, cases where one can externally verify that quantum computing has demonstrated clear economic advantage over classical computing and that companies are paying recurring fees for that reason are virtually non-existent. Although D-Wave and others have published multiple “production applications,” the degree to which QPUs contribute within quantum-classical hybrid processing or the associated economic superiority over traditional methods has not been made fully transparent.

    Therefore, when companies announce “commercial customers are increasing,”

    it is best not to interpret that as “quantum computers have begun to be commonly used in enterprise production.”

    Having commercial customers is not the same as proving quantum computers’ commercial value.

    Revenue growth is not the same as practical quantum computing

    Quantum companies are already generating revenue.

    But that revenue comprises hardware sales, government contracts, PoCs, joint research, cloud usage, sensing, and communications.

    What quantum companies are earning and whether quantum computers have become a technology that earns money in production are still not the same thing.

    To assess the current state of commercialization, one should look less at headline revenue and more at who is paying, for what, and whether the payments are ongoing.

    Related articles

  • developing algorithms to prepare for the future
  • experimentally using quantum computers on the cloud
  • purchasing quantum sensing or communications products rather than quantum compute
  • Any of these activities can qualify a firm as a commercial customer.

    That is entirely different from saying a quantum computer is integrated into a company’s daily operational systems and continuously delivering superior economic value over classical methods.

    Current quantum computers still face substantial limitations in performance, error rates, problem size, and cost.

    At present, cases where one can externally verify that quantum computing has demonstrated clear economic advantage over classical computing and that companies are paying recurring fees for that reason are virtually non-existent. Although D-Wave and others have published multiple “production applications,” the degree to which QPUs contribute within quantum-classical hybrid processing or the associated economic superiority over traditional methods has not been made fully transparent.

    Therefore, when companies announce “commercial customers are increasing,”

    it is best not to interpret that as “quantum computers have begun to be commonly used in enterprise production.”

    Having commercial customers is not the same as proving quantum computers’ commercial value.

    Revenue growth is not the same as practical quantum computing

    Quantum companies are already generating revenue.

    But that revenue comprises hardware sales, government contracts, PoCs, joint research, cloud usage, sensing, and communications.

    What quantum companies are earning and whether quantum computers have become a technology that earns money in production are still not the same thing.

    To assess the current state of commercialization, one should look less at headline revenue and more at who is paying, for what, and whether the payments are ongoing.

    Related articles

  • conducting joint research
  • developing algorithms to prepare for the future
  • experimentally using quantum computers on the cloud
  • purchasing quantum sensing or communications products rather than quantum compute
  • Any of these activities can qualify a firm as a commercial customer.

    That is entirely different from saying a quantum computer is integrated into a company’s daily operational systems and continuously delivering superior economic value over classical methods.

    Current quantum computers still face substantial limitations in performance, error rates, problem size, and cost.

    At present, cases where one can externally verify that quantum computing has demonstrated clear economic advantage over classical computing and that companies are paying recurring fees for that reason are virtually non-existent. Although D-Wave and others have published multiple “production applications,” the degree to which QPUs contribute within quantum-classical hybrid processing or the associated economic superiority over traditional methods has not been made fully transparent.

    Therefore, when companies announce “commercial customers are increasing,”

    it is best not to interpret that as “quantum computers have begun to be commonly used in enterprise production.”

    Having commercial customers is not the same as proving quantum computers’ commercial value.

    Revenue growth is not the same as practical quantum computing

    Quantum companies are already generating revenue.

    But that revenue comprises hardware sales, government contracts, PoCs, joint research, cloud usage, sensing, and communications.

    What quantum companies are earning and whether quantum computers have become a technology that earns money in production are still not the same thing.

    To assess the current state of commercialization, one should look less at headline revenue and more at who is paying, for what, and whether the payments are ongoing.

    Related articles

  • running a proof of concept (PoC)
  • conducting joint research
  • developing algorithms to prepare for the future
  • experimentally using quantum computers on the cloud
  • purchasing quantum sensing or communications products rather than quantum compute
  • Any of these activities can qualify a firm as a commercial customer.

    That is entirely different from saying a quantum computer is integrated into a company’s daily operational systems and continuously delivering superior economic value over classical methods.

    Current quantum computers still face substantial limitations in performance, error rates, problem size, and cost.

    At present, cases where one can externally verify that quantum computing has demonstrated clear economic advantage over classical computing and that companies are paying recurring fees for that reason are virtually non-existent. Although D-Wave and others have published multiple “production applications,” the degree to which QPUs contribute within quantum-classical hybrid processing or the associated economic superiority over traditional methods has not been made fully transparent.

    Therefore, when companies announce “commercial customers are increasing,”

    it is best not to interpret that as “quantum computers have begun to be commonly used in enterprise production.”

    Having commercial customers is not the same as proving quantum computers’ commercial value.

    Revenue growth is not the same as practical quantum computing

    Quantum companies are already generating revenue.

    But that revenue comprises hardware sales, government contracts, PoCs, joint research, cloud usage, sensing, and communications.

    What quantum companies are earning and whether quantum computers have become a technology that earns money in production are still not the same thing.

    To assess the current state of commercialization, one should look less at headline revenue and more at who is paying, for what, and whether the payments are ongoing.

    Related articles

  • evaluating a quantum computer’s performance
  • running a proof of concept (PoC)
  • conducting joint research
  • developing algorithms to prepare for the future
  • experimentally using quantum computers on the cloud
  • purchasing quantum sensing or communications products rather than quantum compute
  • Any of these activities can qualify a firm as a commercial customer.

    That is entirely different from saying a quantum computer is integrated into a company’s daily operational systems and continuously delivering superior economic value over classical methods.

    Current quantum computers still face substantial limitations in performance, error rates, problem size, and cost.

    At present, cases where one can externally verify that quantum computing has demonstrated clear economic advantage over classical computing and that companies are paying recurring fees for that reason are virtually non-existent. Although D-Wave and others have published multiple “production applications,” the degree to which QPUs contribute within quantum-classical hybrid processing or the associated economic superiority over traditional methods has not been made fully transparent.

    Therefore, when companies announce “commercial customers are increasing,”

    it is best not to interpret that as “quantum computers have begun to be commonly used in enterprise production.”

    Having commercial customers is not the same as proving quantum computers’ commercial value.

    Revenue growth is not the same as practical quantum computing

    Quantum companies are already generating revenue.

    But that revenue comprises hardware sales, government contracts, PoCs, joint research, cloud usage, sensing, and communications.

    What quantum companies are earning and whether quantum computers have become a technology that earns money in production are still not the same thing.

    To assess the current state of commercialization, one should look less at headline revenue and more at who is paying, for what, and whether the payments are ongoing.

    Related articles

    • evaluating a quantum computer’s performance
    • running a proof of concept (PoC)
    • conducting joint research
    • developing algorithms to prepare for the future
    • experimentally using quantum computers on the cloud
    • purchasing quantum sensing or communications products rather than quantum compute

    Any of these activities can qualify a firm as a commercial customer.

    That is entirely different from saying a quantum computer is integrated into a company’s daily operational systems and continuously delivering superior economic value over classical methods.

    Current quantum computers still face substantial limitations in performance, error rates, problem size, and cost.

    At present, cases where one can externally verify that quantum computing has demonstrated clear economic advantage over classical computing and that companies are paying recurring fees for that reason are virtually non-existent. Although D-Wave and others have published multiple “production applications,” the degree to which QPUs contribute within quantum-classical hybrid processing or the associated economic superiority over traditional methods has not been made fully transparent.

    Therefore, when companies announce “commercial customers are increasing,”

    it is best not to interpret that as “quantum computers have begun to be commonly used in enterprise production.”

    Having commercial customers is not the same as proving quantum computers’ commercial value.

    Revenue growth is not the same as practical quantum computing

    Quantum companies are already generating revenue.

    But that revenue comprises hardware sales, government contracts, PoCs, joint research, cloud usage, sensing, and communications.

    What quantum companies are earning and whether quantum computers have become a technology that earns money in production are still not the same thing.

    To assess the current state of commercialization, one should look less at headline revenue and more at who is paying, for what, and whether the payments are ongoing.

    Related articles

    • evaluating a quantum computer’s performance
    • running a proof of concept (PoC)
    • conducting joint research
    • developing algorithms to prepare for the future
    • experimentally using quantum computers on the cloud
    • purchasing quantum sensing or communications products rather than quantum compute

    Any of these activities can qualify a firm as a commercial customer.

    That is entirely different from saying a quantum computer is integrated into a company’s daily operational systems and continuously delivering superior economic value over classical methods.

    Current quantum computers still face substantial limitations in performance, error rates, problem size, and cost.

    At present, cases where one can externally verify that quantum computing has demonstrated clear economic advantage over classical computing and that companies are paying recurring fees for that reason are virtually non-existent. Although D-Wave and others have published multiple “production applications,” the degree to which QPUs contribute within quantum-classical hybrid processing or the associated economic superiority over traditional methods has not been made fully transparent.

    Therefore, when companies announce “commercial customers are increasing,”

    it is best not to interpret that as “quantum computers have begun to be commonly used in enterprise production.”

    Having commercial customers is not the same as proving quantum computers’ commercial value.

    Revenue growth is not the same as practical quantum computing

    Quantum companies are already generating revenue.

    But that revenue comprises hardware sales, government contracts, PoCs, joint research, cloud usage, sensing, and communications.

    What quantum companies are earning and whether quantum computers have become a technology that earns money in production are still not the same thing.

    To assess the current state of commercialization, one should look less at headline revenue and more at who is paying, for what, and whether the payments are ongoing.

    Related articles

    Quantum companies’ revenues have started to rise.

    In Q2 2026, IonQ reported $80.10 million (about ¥12.7 billion), Infleqtion reported $13.50 million (about ¥2.1 billion), Quantinuum reported $8.00 million (about ¥1.27 billion), Rigetti Computing reported $5.10 million (about ¥810 million), and D-Wave Quantum reported $3.10 million (about ¥490 million) in revenue.

    IonQ grew 287% year over year, Quantinuum 279%, and Infleqtion 157%. Looking at the raw numbers, it can appear that the quantum-computing market is rapidly commercializing and monetizing.

    However, what exactly are quantum companies selling to generate these revenues?

    Is it quantum compute time? Physical hardware? Government R&D contracts? Quantum sensing or communications?

    Tracing the current revenue structures of major quantum firms shows that the phrase “commercialization of the quantum market” often contains very different realities than the commonly imagined ‘‘commercialization of quantum computers’’.

    *Currency conversions are approximate, using an exchange rate of $1 ≈ ¥159 as of August 20, 2026.

    IonQ — the $12.7 billion quarter is not purely “quantum compute fees”

    IonQ stands out in Q2 2026.

    Revenue was $80.10 million (about ¥12.7 billion), roughly four times year-over-year and far above other pure-play quantum companies.

    However, it would be inaccurate to interpret this number as “IonQ’s quantum computers were used for about ¥12.7 billion worth of compute.”

    IonQ is no longer a company that only does quantum computing.

    Through successive acquisitions, the company has expanded into quantum networking, quantum security, sensing, photonics, and space-related technologies.

    For Q2 the company said roughly 25% of revenue came from customers using multiple product categories. About 60% of revenue was classified as “commercial,” but the scope of that commercial business has broadened significantly compared with the past.

    The company attributes revenue growth to Tempo quantum computer deployments and cloud usage, as well as demand across its broader “quantum platform.”

    In other words, IonQ’s current revenue should be viewed as

    quantum computing + quantum networking + security + sensing + other quantum-related businesses

    combined.

    While revenue is clearly growing rapidly, that growth alone no longer lets you infer the commercial demand for quantum computers themselves.

    Infleqtion — all quantum, but government contracts remain central

    Infleqtion is also interesting.

    Q2 2026 revenue was $13.50 million (about ¥2.1 billion), a 157% year-over-year increase. The company emphasized that this revenue was “100% organic and entirely from quantum.”

    Unlike IonQ, its growth is not being boosted by acquired non-quantum businesses.

    But “entirely quantum” is not the same as “revenue from commercial use of quantum computers.”

    Infleqtion develops the neutral-atom quantum computer “Sqale,” but it also has significant business lines in atomic clocks and quantum sensing.

    Moreover, government contracts play a large role in the company’s revenue. For example, Infleqtion has a $20 million (about ¥3.18 billion) contract with NASA to develop a spaceborne quantum gravity gradiometer. In Q1 2026 that NASA contract alone increased year-over-year revenue by about $4.0 million (about ¥640 million). The company has also derived revenue from the U.S. Department of Defense, the U.S. Army, the European Space Agency, and Japanese government projects.

    Infleqtion’s revenue is certainly “quantum,” but it includes

    quantum computing, quantum sensing, atomic clocks, and government R&D

    all together.

    Again, revenue from a quantum company should be distinguished from revenue specifically generated by commercial use of quantum computers.

    D-Wave — selling a single machine can change the financials

    D-Wave is one of the clearest examples of the current market structure.

    Q2 2026 revenue was $3.10 million (about ¥490 million), roughly flat year-over-year.

    However, first-half 2025 revenue was $18.10 million (about ¥2.88 billion), while first-half 2026 revenue was $5.90 million (about ¥940 million) — a 67% decline.

    The reason is simple: in the first half of 2025 D-Wave recorded a $13.70 million (about ¥2.18 billion) sale of a quantum computer. Selling one large quantum machine can materially swing annual or quarterly revenue for today’s quantum companies.

    D-Wave also offers a cloud service, Leap, as Quantum Computing as a Service (QCaaS).

    Of Leap’s QCaaS revenue in H1 2026, $1.30 million (about ¥210 million) was classified by D-Wave as revenue from “production applications,” representing 37.3% of total QCaaS revenue. In the prior-year period that figure was $0.30 million (about ¥48 million), or 9.8%.

    On the surface, those numbers suggest that production use of quantum computers is expanding. But this interpretation requires caution.

    Leap provides both direct QPU access and quantum-classical hybrid solvers. The internal workings of the latter are a black box to users: external observers cannot verify whether a QPU was actually used for a given calculation, or to what extent a QPU contributed to the result.

    What these figures do indicate is that D-Wave’s optimization services classified as “production” are being used. They do not definitively quantify the commercial value of the QPU itself.

    D-Wave’s current revenue model combines

    hardware sales + cloud usage + professional services

    with multiple models coexisting.

    Particularly, QCaaS “production” revenue should be read separately from metrics that would directly prove the QPU’s commercial usage.

    Rigetti — selling QPUs as well as offering cloud access

    Rigetti has also broadened how it generates revenue in recent years.

    Q2 2026 revenue was $5.10 million (about ¥810 million). The company attributes revenue growth to sales of the nine-qubit Novera quantum computing system and related products.

    Historically Rigetti provided quantum computing through its cloud QCS and via platforms such as Amazon Braket and Microsoft Azure Quantum.

    More recently, however, sales of QPUs and on-premises quantum systems directly to universities, research institutions, and HPC centers have become notable.

    For example, in Q1 2026 Rigetti sold and shipped a Novera QPU to the University of Saskatchewan in Canada. It is also delivering systems to India’s C-DAC and the Pittsburgh Supercomputing Center.

    What customers are buying in these cases is less a service that accelerates existing business processes and more research equipment to study and validate quantum computers themselves.

    More hardware sales will raise revenue, but that should not automatically be interpreted as equivalent to widespread industrial demand for quantum computation.

    Quantinuum — continuous cloud access as a different model

    Quantinuum presents a somewhat different case.

    Q2 2026 revenue was $8.00 million (about ¥1.27 billion), a 279% year-over-year increase.

    Notably, Quantinuum cites cloud business as the primary driver of its revenue growth.

    Unlike hardware sales or government contracts, cloud usage can build recurring revenue as long as customers keep using it. However, increased cloud usage does not necessarily mean those computations are generating economic value in customers’ production workflows — research, evaluation, and algorithm development are included.

    Still, how far a model that sells continued access to quantum compute capacity rather than the machines themselves can scale will be an important indicator of commercialization in the quantum industry.

    The same “revenue” can mean very different things

    Summarizing so far, current quantum-company revenue falls into at least the following categories.

    Type of revenueTypical examplesCharacteristics
    Sales of quantum computer hardwareD-Wave, RigettiSingle sales can be large, but revenue timing is project-dependent
    Cloud compute usageQuantinuum, D-Wave, IonQ, RigettiCan become recurring/stock-like if usage is sustained
    Government and R&D contractsInfleqtion, etc.A major source of demand in today’s quantum industry
    Quantum sensing and communicationsIonQ, InfleqtionMarkets outside quantum computing
    Professional services and joint researchVarious firmsPoCs, algorithm development, deployment support, etc.

    On the books, these are all simply revenue.

    But their implications for the industry’s maturity are quite different.

    For example, if a research institution buys a $20 million (about ¥3.18 billion) quantum computer, the manufacturer records about ¥3.18 billion in revenue.

    However, that does not necessarily mean that

    “the quantum computer was purchased because using it will generate more than ¥3.18 billion in economic value”

    It might have been bought as research equipment.

    It might be for national strategy reasons, to maintain domestic quantum computing capability.

    Or it might be an R&D investment to prepare for the future.

    Conversely, if a company pays monthly for quantum compute services and continuously reduces logistics or production costs as a result, the same revenue figure has a very different meaning.

    “Commercial customer” does not mean “a company using quantum computers in production”

    This point deserves special attention when assessing the current quantum industry.

    Quantum companies often report revenue from “commercial customers” or “commercial revenue.”

    D-Wave said 62.4% of Q2 2026 revenue came from commercial customers. IonQ also reports about 60% commercial revenue.

    From the headline numbers, one might conclude

    “Sixty percent of revenue comes from private companies using quantum computers in production.”

    But reading it that way today is almost certainly misleading.

    “Commercial customer” simply denotes a non-government, non-research institutional customer.

    Such a customer may be:

    • evaluating a quantum computer’s performance
    • running a proof of concept (PoC)
    • conducting joint research
    • developing algorithms to prepare for the future
    • experimentally using quantum computers on the cloud
    • purchasing quantum sensing or communications products rather than quantum compute

    Any of these activities can qualify a firm as a commercial customer.

    That is entirely different from saying a quantum computer is integrated into a company’s daily operational systems and continuously delivering superior economic value over classical methods.

    Current quantum computers still face substantial limitations in performance, error rates, problem size, and cost.

    At present, cases where one can externally verify that quantum computing has demonstrated clear economic advantage over classical computing and that companies are paying recurring fees for that reason are virtually non-existent. Although D-Wave and others have published multiple “production applications,” the degree to which QPUs contribute within quantum-classical hybrid processing or the associated economic superiority over traditional methods has not been made fully transparent.

    Therefore, when companies announce “commercial customers are increasing,”

    it is best not to interpret that as “quantum computers have begun to be commonly used in enterprise production.”

    Having commercial customers is not the same as proving quantum computers’ commercial value.

    Revenue growth is not the same as practical quantum computing

    Quantum companies are already generating revenue.

    But that revenue comprises hardware sales, government contracts, PoCs, joint research, cloud usage, sensing, and communications.

    What quantum companies are earning and whether quantum computers have become a technology that earns money in production are still not the same thing.

    To assess the current state of commercialization, one should look less at headline revenue and more at who is paying, for what, and whether the payments are ongoing.

    Related articles

  • IonQ, Q2 2026 revenue up 287% year over year; raises full-year guidance
  • Infleqtion corrects Q2 2026 revenue to $13.5M; raises full-year outlook
  • Quantinuum Q2 2026 revenue up 279% year over year; announces Helios logical fidelity
  • Rigetti Q2 2026 revenue $5.1M; publishes performance of 108-qubit machine
  • D-Wave Q2 2026 revenue $3.1M; first-half bookings increased more than twelvefold
  • developing algorithms to prepare for the future
  • experimentally using quantum computers on the cloud
  • purchasing quantum sensing or communications products rather than quantum compute
  • Any of these activities can qualify a firm as a commercial customer.

    That is entirely different from saying a quantum computer is integrated into a company’s daily operational systems and continuously delivering superior economic value over classical methods.

    Current quantum computers still face substantial limitations in performance, error rates, problem size, and cost.

    At present, cases where one can externally verify that quantum computing has demonstrated clear economic advantage over classical computing and that companies are paying recurring fees for that reason are virtually non-existent. Although D-Wave and others have published multiple “production applications,” the degree to which QPUs contribute within quantum-classical hybrid processing or the associated economic superiority over traditional methods has not been made fully transparent.

    Therefore, when companies announce “commercial customers are increasing,”

    it is best not to interpret that as “quantum computers have begun to be commonly used in enterprise production.”

    Having commercial customers is not the same as proving quantum computers’ commercial value.

    Revenue growth is not the same as practical quantum computing

    Quantum companies are already generating revenue.

    But that revenue comprises hardware sales, government contracts, PoCs, joint research, cloud usage, sensing, and communications.

    What quantum companies are earning and whether quantum computers have become a technology that earns money in production are still not the same thing.

    To assess the current state of commercialization, one should look less at headline revenue and more at who is paying, for what, and whether the payments are ongoing.

    Related articles

  • conducting joint research
  • developing algorithms to prepare for the future
  • experimentally using quantum computers on the cloud
  • purchasing quantum sensing or communications products rather than quantum compute
  • Any of these activities can qualify a firm as a commercial customer.

    That is entirely different from saying a quantum computer is integrated into a company’s daily operational systems and continuously delivering superior economic value over classical methods.

    Current quantum computers still face substantial limitations in performance, error rates, problem size, and cost.

    At present, cases where one can externally verify that quantum computing has demonstrated clear economic advantage over classical computing and that companies are paying recurring fees for that reason are virtually non-existent. Although D-Wave and others have published multiple “production applications,” the degree to which QPUs contribute within quantum-classical hybrid processing or the associated economic superiority over traditional methods has not been made fully transparent.

    Therefore, when companies announce “commercial customers are increasing,”

    it is best not to interpret that as “quantum computers have begun to be commonly used in enterprise production.”

    Having commercial customers is not the same as proving quantum computers’ commercial value.

    Revenue growth is not the same as practical quantum computing

    Quantum companies are already generating revenue.

    But that revenue comprises hardware sales, government contracts, PoCs, joint research, cloud usage, sensing, and communications.

    What quantum companies are earning and whether quantum computers have become a technology that earns money in production are still not the same thing.

    To assess the current state of commercialization, one should look less at headline revenue and more at who is paying, for what, and whether the payments are ongoing.

    Related articles

  • running a proof of concept (PoC)
  • conducting joint research
  • developing algorithms to prepare for the future
  • experimentally using quantum computers on the cloud
  • purchasing quantum sensing or communications products rather than quantum compute
  • Any of these activities can qualify a firm as a commercial customer.

    That is entirely different from saying a quantum computer is integrated into a company’s daily operational systems and continuously delivering superior economic value over classical methods.

    Current quantum computers still face substantial limitations in performance, error rates, problem size, and cost.

    At present, cases where one can externally verify that quantum computing has demonstrated clear economic advantage over classical computing and that companies are paying recurring fees for that reason are virtually non-existent. Although D-Wave and others have published multiple “production applications,” the degree to which QPUs contribute within quantum-classical hybrid processing or the associated economic superiority over traditional methods has not been made fully transparent.

    Therefore, when companies announce “commercial customers are increasing,”

    it is best not to interpret that as “quantum computers have begun to be commonly used in enterprise production.”

    Having commercial customers is not the same as proving quantum computers’ commercial value.

    Revenue growth is not the same as practical quantum computing

    Quantum companies are already generating revenue.

    But that revenue comprises hardware sales, government contracts, PoCs, joint research, cloud usage, sensing, and communications.

    What quantum companies are earning and whether quantum computers have become a technology that earns money in production are still not the same thing.

    To assess the current state of commercialization, one should look less at headline revenue and more at who is paying, for what, and whether the payments are ongoing.

    Related articles

  • evaluating a quantum computer’s performance
  • running a proof of concept (PoC)
  • conducting joint research
  • developing algorithms to prepare for the future
  • experimentally using quantum computers on the cloud
  • purchasing quantum sensing or communications products rather than quantum compute
  • Any of these activities can qualify a firm as a commercial customer.

    That is entirely different from saying a quantum computer is integrated into a company’s daily operational systems and continuously delivering superior economic value over classical methods.

    Current quantum computers still face substantial limitations in performance, error rates, problem size, and cost.

    At present, cases where one can externally verify that quantum computing has demonstrated clear economic advantage over classical computing and that companies are paying recurring fees for that reason are virtually non-existent. Although D-Wave and others have published multiple “production applications,” the degree to which QPUs contribute within quantum-classical hybrid processing or the associated economic superiority over traditional methods has not been made fully transparent.

    Therefore, when companies announce “commercial customers are increasing,”

    it is best not to interpret that as “quantum computers have begun to be commonly used in enterprise production.”

    Having commercial customers is not the same as proving quantum computers’ commercial value.

    Revenue growth is not the same as practical quantum computing

    Quantum companies are already generating revenue.

    But that revenue comprises hardware sales, government contracts, PoCs, joint research, cloud usage, sensing, and communications.

    What quantum companies are earning and whether quantum computers have become a technology that earns money in production are still not the same thing.

    To assess the current state of commercialization, one should look less at headline revenue and more at who is paying, for what, and whether the payments are ongoing.

    Related articles

    • evaluating a quantum computer’s performance
    • running a proof of concept (PoC)
    • conducting joint research
    • developing algorithms to prepare for the future
    • experimentally using quantum computers on the cloud
    • purchasing quantum sensing or communications products rather than quantum compute

    Any of these activities can qualify a firm as a commercial customer.

    That is entirely different from saying a quantum computer is integrated into a company’s daily operational systems and continuously delivering superior economic value over classical methods.

    Current quantum computers still face substantial limitations in performance, error rates, problem size, and cost.

    At present, cases where one can externally verify that quantum computing has demonstrated clear economic advantage over classical computing and that companies are paying recurring fees for that reason are virtually non-existent. Although D-Wave and others have published multiple “production applications,” the degree to which QPUs contribute within quantum-classical hybrid processing or the associated economic superiority over traditional methods has not been made fully transparent.

    Therefore, when companies announce “commercial customers are increasing,”

    it is best not to interpret that as “quantum computers have begun to be commonly used in enterprise production.”

    Having commercial customers is not the same as proving quantum computers’ commercial value.

    Revenue growth is not the same as practical quantum computing

    Quantum companies are already generating revenue.

    But that revenue comprises hardware sales, government contracts, PoCs, joint research, cloud usage, sensing, and communications.

    What quantum companies are earning and whether quantum computers have become a technology that earns money in production are still not the same thing.

    To assess the current state of commercialization, one should look less at headline revenue and more at who is paying, for what, and whether the payments are ongoing.

    Related articles

    • evaluating a quantum computer’s performance
    • running a proof of concept (PoC)
    • conducting joint research
    • developing algorithms to prepare for the future
    • experimentally using quantum computers on the cloud
    • purchasing quantum sensing or communications products rather than quantum compute

    Any of these activities can qualify a firm as a commercial customer.

    That is entirely different from saying a quantum computer is integrated into a company’s daily operational systems and continuously delivering superior economic value over classical methods.

    Current quantum computers still face substantial limitations in performance, error rates, problem size, and cost.

    At present, cases where one can externally verify that quantum computing has demonstrated clear economic advantage over classical computing and that companies are paying recurring fees for that reason are virtually non-existent. Although D-Wave and others have published multiple “production applications,” the degree to which QPUs contribute within quantum-classical hybrid processing or the associated economic superiority over traditional methods has not been made fully transparent.

    Therefore, when companies announce “commercial customers are increasing,”

    it is best not to interpret that as “quantum computers have begun to be commonly used in enterprise production.”

    Having commercial customers is not the same as proving quantum computers’ commercial value.

    Revenue growth is not the same as practical quantum computing

    Quantum companies are already generating revenue.

    But that revenue comprises hardware sales, government contracts, PoCs, joint research, cloud usage, sensing, and communications.

    What quantum companies are earning and whether quantum computers have become a technology that earns money in production are still not the same thing.

    To assess the current state of commercialization, one should look less at headline revenue and more at who is paying, for what, and whether the payments are ongoing.

    Related articles

    Quantum companies’ revenues have started to rise.

    In Q2 2026, IonQ reported $80.10 million (about ¥12.7 billion), Infleqtion reported $13.50 million (about ¥2.1 billion), Quantinuum reported $8.00 million (about ¥1.27 billion), Rigetti Computing reported $5.10 million (about ¥810 million), and D-Wave Quantum reported $3.10 million (about ¥490 million) in revenue.

    IonQ grew 287% year over year, Quantinuum 279%, and Infleqtion 157%. Looking at the raw numbers, it can appear that the quantum-computing market is rapidly commercializing and monetizing.

    However, what exactly are quantum companies selling to generate these revenues?

    Is it quantum compute time? Physical hardware? Government R&D contracts? Quantum sensing or communications?

    Tracing the current revenue structures of major quantum firms shows that the phrase “commercialization of the quantum market” often contains very different realities than the commonly imagined ‘‘commercialization of quantum computers’’.

    *Currency conversions are approximate, using an exchange rate of $1 ≈ ¥159 as of August 20, 2026.

    IonQ — the $12.7 billion quarter is not purely “quantum compute fees”

    IonQ stands out in Q2 2026.

    Revenue was $80.10 million (about ¥12.7 billion), roughly four times year-over-year and far above other pure-play quantum companies.

    However, it would be inaccurate to interpret this number as “IonQ’s quantum computers were used for about ¥12.7 billion worth of compute.”

    IonQ is no longer a company that only does quantum computing.

    Through successive acquisitions, the company has expanded into quantum networking, quantum security, sensing, photonics, and space-related technologies.

    For Q2 the company said roughly 25% of revenue came from customers using multiple product categories. About 60% of revenue was classified as “commercial,” but the scope of that commercial business has broadened significantly compared with the past.

    The company attributes revenue growth to Tempo quantum computer deployments and cloud usage, as well as demand across its broader “quantum platform.”

    In other words, IonQ’s current revenue should be viewed as

    quantum computing + quantum networking + security + sensing + other quantum-related businesses

    combined.

    While revenue is clearly growing rapidly, that growth alone no longer lets you infer the commercial demand for quantum computers themselves.

    Infleqtion — all quantum, but government contracts remain central

    Infleqtion is also interesting.

    Q2 2026 revenue was $13.50 million (about ¥2.1 billion), a 157% year-over-year increase. The company emphasized that this revenue was “100% organic and entirely from quantum.”

    Unlike IonQ, its growth is not being boosted by acquired non-quantum businesses.

    But “entirely quantum” is not the same as “revenue from commercial use of quantum computers.”

    Infleqtion develops the neutral-atom quantum computer “Sqale,” but it also has significant business lines in atomic clocks and quantum sensing.

    Moreover, government contracts play a large role in the company’s revenue. For example, Infleqtion has a $20 million (about ¥3.18 billion) contract with NASA to develop a spaceborne quantum gravity gradiometer. In Q1 2026 that NASA contract alone increased year-over-year revenue by about $4.0 million (about ¥640 million). The company has also derived revenue from the U.S. Department of Defense, the U.S. Army, the European Space Agency, and Japanese government projects.

    Infleqtion’s revenue is certainly “quantum,” but it includes

    quantum computing, quantum sensing, atomic clocks, and government R&D

    all together.

    Again, revenue from a quantum company should be distinguished from revenue specifically generated by commercial use of quantum computers.

    D-Wave — selling a single machine can change the financials

    D-Wave is one of the clearest examples of the current market structure.

    Q2 2026 revenue was $3.10 million (about ¥490 million), roughly flat year-over-year.

    However, first-half 2025 revenue was $18.10 million (about ¥2.88 billion), while first-half 2026 revenue was $5.90 million (about ¥940 million) — a 67% decline.

    The reason is simple: in the first half of 2025 D-Wave recorded a $13.70 million (about ¥2.18 billion) sale of a quantum computer. Selling one large quantum machine can materially swing annual or quarterly revenue for today’s quantum companies.

    D-Wave also offers a cloud service, Leap, as Quantum Computing as a Service (QCaaS).

    Of Leap’s QCaaS revenue in H1 2026, $1.30 million (about ¥210 million) was classified by D-Wave as revenue from “production applications,” representing 37.3% of total QCaaS revenue. In the prior-year period that figure was $0.30 million (about ¥48 million), or 9.8%.

    On the surface, those numbers suggest that production use of quantum computers is expanding. But this interpretation requires caution.

    Leap provides both direct QPU access and quantum-classical hybrid solvers. The internal workings of the latter are a black box to users: external observers cannot verify whether a QPU was actually used for a given calculation, or to what extent a QPU contributed to the result.

    What these figures do indicate is that D-Wave’s optimization services classified as “production” are being used. They do not definitively quantify the commercial value of the QPU itself.

    D-Wave’s current revenue model combines

    hardware sales + cloud usage + professional services

    with multiple models coexisting.

    Particularly, QCaaS “production” revenue should be read separately from metrics that would directly prove the QPU’s commercial usage.

    Rigetti — selling QPUs as well as offering cloud access

    Rigetti has also broadened how it generates revenue in recent years.

    Q2 2026 revenue was $5.10 million (about ¥810 million). The company attributes revenue growth to sales of the nine-qubit Novera quantum computing system and related products.

    Historically Rigetti provided quantum computing through its cloud QCS and via platforms such as Amazon Braket and Microsoft Azure Quantum.

    More recently, however, sales of QPUs and on-premises quantum systems directly to universities, research institutions, and HPC centers have become notable.

    For example, in Q1 2026 Rigetti sold and shipped a Novera QPU to the University of Saskatchewan in Canada. It is also delivering systems to India’s C-DAC and the Pittsburgh Supercomputing Center.

    What customers are buying in these cases is less a service that accelerates existing business processes and more research equipment to study and validate quantum computers themselves.

    More hardware sales will raise revenue, but that should not automatically be interpreted as equivalent to widespread industrial demand for quantum computation.

    Quantinuum — continuous cloud access as a different model

    Quantinuum presents a somewhat different case.

    Q2 2026 revenue was $8.00 million (about ¥1.27 billion), a 279% year-over-year increase.

    Notably, Quantinuum cites cloud business as the primary driver of its revenue growth.

    Unlike hardware sales or government contracts, cloud usage can build recurring revenue as long as customers keep using it. However, increased cloud usage does not necessarily mean those computations are generating economic value in customers’ production workflows — research, evaluation, and algorithm development are included.

    Still, how far a model that sells continued access to quantum compute capacity rather than the machines themselves can scale will be an important indicator of commercialization in the quantum industry.

    The same “revenue” can mean very different things

    Summarizing so far, current quantum-company revenue falls into at least the following categories.

    Type of revenueTypical examplesCharacteristics
    Sales of quantum computer hardwareD-Wave, RigettiSingle sales can be large, but revenue timing is project-dependent
    Cloud compute usageQuantinuum, D-Wave, IonQ, RigettiCan become recurring/stock-like if usage is sustained
    Government and R&D contractsInfleqtion, etc.A major source of demand in today’s quantum industry
    Quantum sensing and communicationsIonQ, InfleqtionMarkets outside quantum computing
    Professional services and joint researchVarious firmsPoCs, algorithm development, deployment support, etc.

    On the books, these are all simply revenue.

    But their implications for the industry’s maturity are quite different.

    For example, if a research institution buys a $20 million (about ¥3.18 billion) quantum computer, the manufacturer records about ¥3.18 billion in revenue.

    However, that does not necessarily mean that

    “the quantum computer was purchased because using it will generate more than ¥3.18 billion in economic value”

    It might have been bought as research equipment.

    It might be for national strategy reasons, to maintain domestic quantum computing capability.

    Or it might be an R&D investment to prepare for the future.

    Conversely, if a company pays monthly for quantum compute services and continuously reduces logistics or production costs as a result, the same revenue figure has a very different meaning.

    “Commercial customer” does not mean “a company using quantum computers in production”

    This point deserves special attention when assessing the current quantum industry.

    Quantum companies often report revenue from “commercial customers” or “commercial revenue.”

    D-Wave said 62.4% of Q2 2026 revenue came from commercial customers. IonQ also reports about 60% commercial revenue.

    From the headline numbers, one might conclude

    “Sixty percent of revenue comes from private companies using quantum computers in production.”

    But reading it that way today is almost certainly misleading.

    “Commercial customer” simply denotes a non-government, non-research institutional customer.

    Such a customer may be:

    • evaluating a quantum computer’s performance
    • running a proof of concept (PoC)
    • conducting joint research
    • developing algorithms to prepare for the future
    • experimentally using quantum computers on the cloud
    • purchasing quantum sensing or communications products rather than quantum compute

    Any of these activities can qualify a firm as a commercial customer.

    That is entirely different from saying a quantum computer is integrated into a company’s daily operational systems and continuously delivering superior economic value over classical methods.

    Current quantum computers still face substantial limitations in performance, error rates, problem size, and cost.

    At present, cases where one can externally verify that quantum computing has demonstrated clear economic advantage over classical computing and that companies are paying recurring fees for that reason are virtually non-existent. Although D-Wave and others have published multiple “production applications,” the degree to which QPUs contribute within quantum-classical hybrid processing or the associated economic superiority over traditional methods has not been made fully transparent.

    Therefore, when companies announce “commercial customers are increasing,”

    it is best not to interpret that as “quantum computers have begun to be commonly used in enterprise production.”

    Having commercial customers is not the same as proving quantum computers’ commercial value.

    Revenue growth is not the same as practical quantum computing

    Quantum companies are already generating revenue.

    But that revenue comprises hardware sales, government contracts, PoCs, joint research, cloud usage, sensing, and communications.

    What quantum companies are earning and whether quantum computers have become a technology that earns money in production are still not the same thing.

    To assess the current state of commercialization, one should look less at headline revenue and more at who is paying, for what, and whether the payments are ongoing.

    Related articles

  • developing algorithms to prepare for the future
  • experimentally using quantum computers on the cloud
  • purchasing quantum sensing or communications products rather than quantum compute
  • Any of these activities can qualify a firm as a commercial customer.

    That is entirely different from saying a quantum computer is integrated into a company’s daily operational systems and continuously delivering superior economic value over classical methods.

    Current quantum computers still face substantial limitations in performance, error rates, problem size, and cost.

    At present, cases where one can externally verify that quantum computing has demonstrated clear economic advantage over classical computing and that companies are paying recurring fees for that reason are virtually non-existent. Although D-Wave and others have published multiple “production applications,” the degree to which QPUs contribute within quantum-classical hybrid processing or the associated economic superiority over traditional methods has not been made fully transparent.

    Therefore, when companies announce “commercial customers are increasing,”

    it is best not to interpret that as “quantum computers have begun to be commonly used in enterprise production.”

    Having commercial customers is not the same as proving quantum computers’ commercial value.

    Revenue growth is not the same as practical quantum computing

    Quantum companies are already generating revenue.

    But that revenue comprises hardware sales, government contracts, PoCs, joint research, cloud usage, sensing, and communications.

    What quantum companies are earning and whether quantum computers have become a technology that earns money in production are still not the same thing.

    To assess the current state of commercialization, one should look less at headline revenue and more at who is paying, for what, and whether the payments are ongoing.

    Related articles

  • conducting joint research
  • developing algorithms to prepare for the future
  • experimentally using quantum computers on the cloud
  • purchasing quantum sensing or communications products rather than quantum compute
  • Any of these activities can qualify a firm as a commercial customer.

    That is entirely different from saying a quantum computer is integrated into a company’s daily operational systems and continuously delivering superior economic value over classical methods.

    Current quantum computers still face substantial limitations in performance, error rates, problem size, and cost.

    At present, cases where one can externally verify that quantum computing has demonstrated clear economic advantage over classical computing and that companies are paying recurring fees for that reason are virtually non-existent. Although D-Wave and others have published multiple “production applications,” the degree to which QPUs contribute within quantum-classical hybrid processing or the associated economic superiority over traditional methods has not been made fully transparent.

    Therefore, when companies announce “commercial customers are increasing,”

    it is best not to interpret that as “quantum computers have begun to be commonly used in enterprise production.”

    Having commercial customers is not the same as proving quantum computers’ commercial value.

    Revenue growth is not the same as practical quantum computing

    Quantum companies are already generating revenue.

    But that revenue comprises hardware sales, government contracts, PoCs, joint research, cloud usage, sensing, and communications.

    What quantum companies are earning and whether quantum computers have become a technology that earns money in production are still not the same thing.

    To assess the current state of commercialization, one should look less at headline revenue and more at who is paying, for what, and whether the payments are ongoing.

    Related articles

  • running a proof of concept (PoC)
  • conducting joint research
  • developing algorithms to prepare for the future
  • experimentally using quantum computers on the cloud
  • purchasing quantum sensing or communications products rather than quantum compute
  • Any of these activities can qualify a firm as a commercial customer.

    That is entirely different from saying a quantum computer is integrated into a company’s daily operational systems and continuously delivering superior economic value over classical methods.

    Current quantum computers still face substantial limitations in performance, error rates, problem size, and cost.

    At present, cases where one can externally verify that quantum computing has demonstrated clear economic advantage over classical computing and that companies are paying recurring fees for that reason are virtually non-existent. Although D-Wave and others have published multiple “production applications,” the degree to which QPUs contribute within quantum-classical hybrid processing or the associated economic superiority over traditional methods has not been made fully transparent.

    Therefore, when companies announce “commercial customers are increasing,”

    it is best not to interpret that as “quantum computers have begun to be commonly used in enterprise production.”

    Having commercial customers is not the same as proving quantum computers’ commercial value.

    Revenue growth is not the same as practical quantum computing

    Quantum companies are already generating revenue.

    But that revenue comprises hardware sales, government contracts, PoCs, joint research, cloud usage, sensing, and communications.

    What quantum companies are earning and whether quantum computers have become a technology that earns money in production are still not the same thing.

    To assess the current state of commercialization, one should look less at headline revenue and more at who is paying, for what, and whether the payments are ongoing.

    Related articles

  • evaluating a quantum computer’s performance
  • running a proof of concept (PoC)
  • conducting joint research
  • developing algorithms to prepare for the future
  • experimentally using quantum computers on the cloud
  • purchasing quantum sensing or communications products rather than quantum compute
  • Any of these activities can qualify a firm as a commercial customer.

    That is entirely different from saying a quantum computer is integrated into a company’s daily operational systems and continuously delivering superior economic value over classical methods.

    Current quantum computers still face substantial limitations in performance, error rates, problem size, and cost.

    At present, cases where one can externally verify that quantum computing has demonstrated clear economic advantage over classical computing and that companies are paying recurring fees for that reason are virtually non-existent. Although D-Wave and others have published multiple “production applications,” the degree to which QPUs contribute within quantum-classical hybrid processing or the associated economic superiority over traditional methods has not been made fully transparent.

    Therefore, when companies announce “commercial customers are increasing,”

    it is best not to interpret that as “quantum computers have begun to be commonly used in enterprise production.”

    Having commercial customers is not the same as proving quantum computers’ commercial value.

    Revenue growth is not the same as practical quantum computing

    Quantum companies are already generating revenue.

    But that revenue comprises hardware sales, government contracts, PoCs, joint research, cloud usage, sensing, and communications.

    What quantum companies are earning and whether quantum computers have become a technology that earns money in production are still not the same thing.

    To assess the current state of commercialization, one should look less at headline revenue and more at who is paying, for what, and whether the payments are ongoing.

    Related articles

    • evaluating a quantum computer’s performance
    • running a proof of concept (PoC)
    • conducting joint research
    • developing algorithms to prepare for the future
    • experimentally using quantum computers on the cloud
    • purchasing quantum sensing or communications products rather than quantum compute

    Any of these activities can qualify a firm as a commercial customer.

    That is entirely different from saying a quantum computer is integrated into a company’s daily operational systems and continuously delivering superior economic value over classical methods.

    Current quantum computers still face substantial limitations in performance, error rates, problem size, and cost.

    At present, cases where one can externally verify that quantum computing has demonstrated clear economic advantage over classical computing and that companies are paying recurring fees for that reason are virtually non-existent. Although D-Wave and others have published multiple “production applications,” the degree to which QPUs contribute within quantum-classical hybrid processing or the associated economic superiority over traditional methods has not been made fully transparent.

    Therefore, when companies announce “commercial customers are increasing,”

    it is best not to interpret that as “quantum computers have begun to be commonly used in enterprise production.”

    Having commercial customers is not the same as proving quantum computers’ commercial value.

    Revenue growth is not the same as practical quantum computing

    Quantum companies are already generating revenue.

    But that revenue comprises hardware sales, government contracts, PoCs, joint research, cloud usage, sensing, and communications.

    What quantum companies are earning and whether quantum computers have become a technology that earns money in production are still not the same thing.

    To assess the current state of commercialization, one should look less at headline revenue and more at who is paying, for what, and whether the payments are ongoing.

    Related articles

    • evaluating a quantum computer’s performance
    • running a proof of concept (PoC)
    • conducting joint research
    • developing algorithms to prepare for the future
    • experimentally using quantum computers on the cloud
    • purchasing quantum sensing or communications products rather than quantum compute

    Any of these activities can qualify a firm as a commercial customer.

    That is entirely different from saying a quantum computer is integrated into a company’s daily operational systems and continuously delivering superior economic value over classical methods.

    Current quantum computers still face substantial limitations in performance, error rates, problem size, and cost.

    At present, cases where one can externally verify that quantum computing has demonstrated clear economic advantage over classical computing and that companies are paying recurring fees for that reason are virtually non-existent. Although D-Wave and others have published multiple “production applications,” the degree to which QPUs contribute within quantum-classical hybrid processing or the associated economic superiority over traditional methods has not been made fully transparent.

    Therefore, when companies announce “commercial customers are increasing,”

    it is best not to interpret that as “quantum computers have begun to be commonly used in enterprise production.”

    Having commercial customers is not the same as proving quantum computers’ commercial value.

    Revenue growth is not the same as practical quantum computing

    Quantum companies are already generating revenue.

    But that revenue comprises hardware sales, government contracts, PoCs, joint research, cloud usage, sensing, and communications.

    What quantum companies are earning and whether quantum computers have become a technology that earns money in production are still not the same thing.

    To assess the current state of commercialization, one should look less at headline revenue and more at who is paying, for what, and whether the payments are ongoing.

    Related articles

    Quantum companies’ revenues have started to rise.

    In Q2 2026, IonQ reported $80.10 million (about ¥12.7 billion), Infleqtion reported $13.50 million (about ¥2.1 billion), Quantinuum reported $8.00 million (about ¥1.27 billion), Rigetti Computing reported $5.10 million (about ¥810 million), and D-Wave Quantum reported $3.10 million (about ¥490 million) in revenue.

    IonQ grew 287% year over year, Quantinuum 279%, and Infleqtion 157%. Looking at the raw numbers, it can appear that the quantum-computing market is rapidly commercializing and monetizing.

    However, what exactly are quantum companies selling to generate these revenues?

    Is it quantum compute time? Physical hardware? Government R&D contracts? Quantum sensing or communications?

    Tracing the current revenue structures of major quantum firms shows that the phrase “commercialization of the quantum market” often contains very different realities than the commonly imagined ‘‘commercialization of quantum computers’’.

    *Currency conversions are approximate, using an exchange rate of $1 ≈ ¥159 as of August 20, 2026.

    IonQ — the $12.7 billion quarter is not purely “quantum compute fees”

    IonQ stands out in Q2 2026.

    Revenue was $80.10 million (about ¥12.7 billion), roughly four times year-over-year and far above other pure-play quantum companies.

    However, it would be inaccurate to interpret this number as “IonQ’s quantum computers were used for about ¥12.7 billion worth of compute.”

    IonQ is no longer a company that only does quantum computing.

    Through successive acquisitions, the company has expanded into quantum networking, quantum security, sensing, photonics, and space-related technologies.

    For Q2 the company said roughly 25% of revenue came from customers using multiple product categories. About 60% of revenue was classified as “commercial,” but the scope of that commercial business has broadened significantly compared with the past.

    The company attributes revenue growth to Tempo quantum computer deployments and cloud usage, as well as demand across its broader “quantum platform.”

    In other words, IonQ’s current revenue should be viewed as

    quantum computing + quantum networking + security + sensing + other quantum-related businesses

    combined.

    While revenue is clearly growing rapidly, that growth alone no longer lets you infer the commercial demand for quantum computers themselves.

    Infleqtion — all quantum, but government contracts remain central

    Infleqtion is also interesting.

    Q2 2026 revenue was $13.50 million (about ¥2.1 billion), a 157% year-over-year increase. The company emphasized that this revenue was “100% organic and entirely from quantum.”

    Unlike IonQ, its growth is not being boosted by acquired non-quantum businesses.

    But “entirely quantum” is not the same as “revenue from commercial use of quantum computers.”

    Infleqtion develops the neutral-atom quantum computer “Sqale,” but it also has significant business lines in atomic clocks and quantum sensing.

    Moreover, government contracts play a large role in the company’s revenue. For example, Infleqtion has a $20 million (about ¥3.18 billion) contract with NASA to develop a spaceborne quantum gravity gradiometer. In Q1 2026 that NASA contract alone increased year-over-year revenue by about $4.0 million (about ¥640 million). The company has also derived revenue from the U.S. Department of Defense, the U.S. Army, the European Space Agency, and Japanese government projects.

    Infleqtion’s revenue is certainly “quantum,” but it includes

    quantum computing, quantum sensing, atomic clocks, and government R&D

    all together.

    Again, revenue from a quantum company should be distinguished from revenue specifically generated by commercial use of quantum computers.

    D-Wave — selling a single machine can change the financials

    D-Wave is one of the clearest examples of the current market structure.

    Q2 2026 revenue was $3.10 million (about ¥490 million), roughly flat year-over-year.

    However, first-half 2025 revenue was $18.10 million (about ¥2.88 billion), while first-half 2026 revenue was $5.90 million (about ¥940 million) — a 67% decline.

    The reason is simple: in the first half of 2025 D-Wave recorded a $13.70 million (about ¥2.18 billion) sale of a quantum computer. Selling one large quantum machine can materially swing annual or quarterly revenue for today’s quantum companies.

    D-Wave also offers a cloud service, Leap, as Quantum Computing as a Service (QCaaS).

    Of Leap’s QCaaS revenue in H1 2026, $1.30 million (about ¥210 million) was classified by D-Wave as revenue from “production applications,” representing 37.3% of total QCaaS revenue. In the prior-year period that figure was $0.30 million (about ¥48 million), or 9.8%.

    On the surface, those numbers suggest that production use of quantum computers is expanding. But this interpretation requires caution.

    Leap provides both direct QPU access and quantum-classical hybrid solvers. The internal workings of the latter are a black box to users: external observers cannot verify whether a QPU was actually used for a given calculation, or to what extent a QPU contributed to the result.

    What these figures do indicate is that D-Wave’s optimization services classified as “production” are being used. They do not definitively quantify the commercial value of the QPU itself.

    D-Wave’s current revenue model combines

    hardware sales + cloud usage + professional services

    with multiple models coexisting.

    Particularly, QCaaS “production” revenue should be read separately from metrics that would directly prove the QPU’s commercial usage.

    Rigetti — selling QPUs as well as offering cloud access

    Rigetti has also broadened how it generates revenue in recent years.

    Q2 2026 revenue was $5.10 million (about ¥810 million). The company attributes revenue growth to sales of the nine-qubit Novera quantum computing system and related products.

    Historically Rigetti provided quantum computing through its cloud QCS and via platforms such as Amazon Braket and Microsoft Azure Quantum.

    More recently, however, sales of QPUs and on-premises quantum systems directly to universities, research institutions, and HPC centers have become notable.

    For example, in Q1 2026 Rigetti sold and shipped a Novera QPU to the University of Saskatchewan in Canada. It is also delivering systems to India’s C-DAC and the Pittsburgh Supercomputing Center.

    What customers are buying in these cases is less a service that accelerates existing business processes and more research equipment to study and validate quantum computers themselves.

    More hardware sales will raise revenue, but that should not automatically be interpreted as equivalent to widespread industrial demand for quantum computation.

    Quantinuum — continuous cloud access as a different model

    Quantinuum presents a somewhat different case.

    Q2 2026 revenue was $8.00 million (about ¥1.27 billion), a 279% year-over-year increase.

    Notably, Quantinuum cites cloud business as the primary driver of its revenue growth.

    Unlike hardware sales or government contracts, cloud usage can build recurring revenue as long as customers keep using it. However, increased cloud usage does not necessarily mean those computations are generating economic value in customers’ production workflows — research, evaluation, and algorithm development are included.

    Still, how far a model that sells continued access to quantum compute capacity rather than the machines themselves can scale will be an important indicator of commercialization in the quantum industry.

    The same “revenue” can mean very different things

    Summarizing so far, current quantum-company revenue falls into at least the following categories.

    Type of revenueTypical examplesCharacteristics
    Sales of quantum computer hardwareD-Wave, RigettiSingle sales can be large, but revenue timing is project-dependent
    Cloud compute usageQuantinuum, D-Wave, IonQ, RigettiCan become recurring/stock-like if usage is sustained
    Government and R&D contractsInfleqtion, etc.A major source of demand in today’s quantum industry
    Quantum sensing and communicationsIonQ, InfleqtionMarkets outside quantum computing
    Professional services and joint researchVarious firmsPoCs, algorithm development, deployment support, etc.

    On the books, these are all simply revenue.

    But their implications for the industry’s maturity are quite different.

    For example, if a research institution buys a $20 million (about ¥3.18 billion) quantum computer, the manufacturer records about ¥3.18 billion in revenue.

    However, that does not necessarily mean that

    “the quantum computer was purchased because using it will generate more than ¥3.18 billion in economic value”

    It might have been bought as research equipment.

    It might be for national strategy reasons, to maintain domestic quantum computing capability.

    Or it might be an R&D investment to prepare for the future.

    Conversely, if a company pays monthly for quantum compute services and continuously reduces logistics or production costs as a result, the same revenue figure has a very different meaning.

    “Commercial customer” does not mean “a company using quantum computers in production”

    This point deserves special attention when assessing the current quantum industry.

    Quantum companies often report revenue from “commercial customers” or “commercial revenue.”

    D-Wave said 62.4% of Q2 2026 revenue came from commercial customers. IonQ also reports about 60% commercial revenue.

    From the headline numbers, one might conclude

    “Sixty percent of revenue comes from private companies using quantum computers in production.”

    But reading it that way today is almost certainly misleading.

    “Commercial customer” simply denotes a non-government, non-research institutional customer.

    Such a customer may be:

    • evaluating a quantum computer’s performance
    • running a proof of concept (PoC)
    • conducting joint research
    • developing algorithms to prepare for the future
    • experimentally using quantum computers on the cloud
    • purchasing quantum sensing or communications products rather than quantum compute

    Any of these activities can qualify a firm as a commercial customer.

    That is entirely different from saying a quantum computer is integrated into a company’s daily operational systems and continuously delivering superior economic value over classical methods.

    Current quantum computers still face substantial limitations in performance, error rates, problem size, and cost.

    At present, cases where one can externally verify that quantum computing has demonstrated clear economic advantage over classical computing and that companies are paying recurring fees for that reason are virtually non-existent. Although D-Wave and others have published multiple “production applications,” the degree to which QPUs contribute within quantum-classical hybrid processing or the associated economic superiority over traditional methods has not been made fully transparent.

    Therefore, when companies announce “commercial customers are increasing,”

    it is best not to interpret that as “quantum computers have begun to be commonly used in enterprise production.”

    Having commercial customers is not the same as proving quantum computers’ commercial value.

    Revenue growth is not the same as practical quantum computing

    Quantum companies are already generating revenue.

    But that revenue comprises hardware sales, government contracts, PoCs, joint research, cloud usage, sensing, and communications.

    What quantum companies are earning and whether quantum computers have become a technology that earns money in production are still not the same thing.

    To assess the current state of commercialization, one should look less at headline revenue and more at who is paying, for what, and whether the payments are ongoing.

    Related articles

  • developing algorithms to prepare for the future
  • experimentally using quantum computers on the cloud
  • purchasing quantum sensing or communications products rather than quantum compute
  • Any of these activities can qualify a firm as a commercial customer.

    That is entirely different from saying a quantum computer is integrated into a company’s daily operational systems and continuously delivering superior economic value over classical methods.

    Current quantum computers still face substantial limitations in performance, error rates, problem size, and cost.

    At present, cases where one can externally verify that quantum computing has demonstrated clear economic advantage over classical computing and that companies are paying recurring fees for that reason are virtually non-existent. Although D-Wave and others have published multiple “production applications,” the degree to which QPUs contribute within quantum-classical hybrid processing or the associated economic superiority over traditional methods has not been made fully transparent.

    Therefore, when companies announce “commercial customers are increasing,”

    it is best not to interpret that as “quantum computers have begun to be commonly used in enterprise production.”

    Having commercial customers is not the same as proving quantum computers’ commercial value.

    Revenue growth is not the same as practical quantum computing

    Quantum companies are already generating revenue.

    But that revenue comprises hardware sales, government contracts, PoCs, joint research, cloud usage, sensing, and communications.

    What quantum companies are earning and whether quantum computers have become a technology that earns money in production are still not the same thing.

    To assess the current state of commercialization, one should look less at headline revenue and more at who is paying, for what, and whether the payments are ongoing.

    Related articles

  • conducting joint research
  • developing algorithms to prepare for the future
  • experimentally using quantum computers on the cloud
  • purchasing quantum sensing or communications products rather than quantum compute
  • Any of these activities can qualify a firm as a commercial customer.

    That is entirely different from saying a quantum computer is integrated into a company’s daily operational systems and continuously delivering superior economic value over classical methods.

    Current quantum computers still face substantial limitations in performance, error rates, problem size, and cost.

    At present, cases where one can externally verify that quantum computing has demonstrated clear economic advantage over classical computing and that companies are paying recurring fees for that reason are virtually non-existent. Although D-Wave and others have published multiple “production applications,” the degree to which QPUs contribute within quantum-classical hybrid processing or the associated economic superiority over traditional methods has not been made fully transparent.

    Therefore, when companies announce “commercial customers are increasing,”

    it is best not to interpret that as “quantum computers have begun to be commonly used in enterprise production.”

    Having commercial customers is not the same as proving quantum computers’ commercial value.

    Revenue growth is not the same as practical quantum computing

    Quantum companies are already generating revenue.

    But that revenue comprises hardware sales, government contracts, PoCs, joint research, cloud usage, sensing, and communications.

    What quantum companies are earning and whether quantum computers have become a technology that earns money in production are still not the same thing.

    To assess the current state of commercialization, one should look less at headline revenue and more at who is paying, for what, and whether the payments are ongoing.

    Related articles

  • running a proof of concept (PoC)
  • conducting joint research
  • developing algorithms to prepare for the future
  • experimentally using quantum computers on the cloud
  • purchasing quantum sensing or communications products rather than quantum compute
  • Any of these activities can qualify a firm as a commercial customer.

    That is entirely different from saying a quantum computer is integrated into a company’s daily operational systems and continuously delivering superior economic value over classical methods.

    Current quantum computers still face substantial limitations in performance, error rates, problem size, and cost.

    At present, cases where one can externally verify that quantum computing has demonstrated clear economic advantage over classical computing and that companies are paying recurring fees for that reason are virtually non-existent. Although D-Wave and others have published multiple “production applications,” the degree to which QPUs contribute within quantum-classical hybrid processing or the associated economic superiority over traditional methods has not been made fully transparent.

    Therefore, when companies announce “commercial customers are increasing,”

    it is best not to interpret that as “quantum computers have begun to be commonly used in enterprise production.”

    Having commercial customers is not the same as proving quantum computers’ commercial value.

    Revenue growth is not the same as practical quantum computing

    Quantum companies are already generating revenue.

    But that revenue comprises hardware sales, government contracts, PoCs, joint research, cloud usage, sensing, and communications.

    What quantum companies are earning and whether quantum computers have become a technology that earns money in production are still not the same thing.

    To assess the current state of commercialization, one should look less at headline revenue and more at who is paying, for what, and whether the payments are ongoing.

    Related articles

  • evaluating a quantum computer’s performance
  • running a proof of concept (PoC)
  • conducting joint research
  • developing algorithms to prepare for the future
  • experimentally using quantum computers on the cloud
  • purchasing quantum sensing or communications products rather than quantum compute
  • Any of these activities can qualify a firm as a commercial customer.

    That is entirely different from saying a quantum computer is integrated into a company’s daily operational systems and continuously delivering superior economic value over classical methods.

    Current quantum computers still face substantial limitations in performance, error rates, problem size, and cost.

    At present, cases where one can externally verify that quantum computing has demonstrated clear economic advantage over classical computing and that companies are paying recurring fees for that reason are virtually non-existent. Although D-Wave and others have published multiple “production applications,” the degree to which QPUs contribute within quantum-classical hybrid processing or the associated economic superiority over traditional methods has not been made fully transparent.

    Therefore, when companies announce “commercial customers are increasing,”

    it is best not to interpret that as “quantum computers have begun to be commonly used in enterprise production.”

    Having commercial customers is not the same as proving quantum computers’ commercial value.

    Revenue growth is not the same as practical quantum computing

    Quantum companies are already generating revenue.

    But that revenue comprises hardware sales, government contracts, PoCs, joint research, cloud usage, sensing, and communications.

    What quantum companies are earning and whether quantum computers have become a technology that earns money in production are still not the same thing.

    To assess the current state of commercialization, one should look less at headline revenue and more at who is paying, for what, and whether the payments are ongoing.

    Related articles

    • evaluating a quantum computer’s performance
    • running a proof of concept (PoC)
    • conducting joint research
    • developing algorithms to prepare for the future
    • experimentally using quantum computers on the cloud
    • purchasing quantum sensing or communications products rather than quantum compute

    Any of these activities can qualify a firm as a commercial customer.

    That is entirely different from saying a quantum computer is integrated into a company’s daily operational systems and continuously delivering superior economic value over classical methods.

    Current quantum computers still face substantial limitations in performance, error rates, problem size, and cost.

    At present, cases where one can externally verify that quantum computing has demonstrated clear economic advantage over classical computing and that companies are paying recurring fees for that reason are virtually non-existent. Although D-Wave and others have published multiple “production applications,” the degree to which QPUs contribute within quantum-classical hybrid processing or the associated economic superiority over traditional methods has not been made fully transparent.

    Therefore, when companies announce “commercial customers are increasing,”

    it is best not to interpret that as “quantum computers have begun to be commonly used in enterprise production.”

    Having commercial customers is not the same as proving quantum computers’ commercial value.

    Revenue growth is not the same as practical quantum computing

    Quantum companies are already generating revenue.

    But that revenue comprises hardware sales, government contracts, PoCs, joint research, cloud usage, sensing, and communications.

    What quantum companies are earning and whether quantum computers have become a technology that earns money in production are still not the same thing.

    To assess the current state of commercialization, one should look less at headline revenue and more at who is paying, for what, and whether the payments are ongoing.

    Related articles

    • evaluating a quantum computer’s performance
    • running a proof of concept (PoC)
    • conducting joint research
    • developing algorithms to prepare for the future
    • experimentally using quantum computers on the cloud
    • purchasing quantum sensing or communications products rather than quantum compute

    Any of these activities can qualify a firm as a commercial customer.

    That is entirely different from saying a quantum computer is integrated into a company’s daily operational systems and continuously delivering superior economic value over classical methods.

    Current quantum computers still face substantial limitations in performance, error rates, problem size, and cost.

    At present, cases where one can externally verify that quantum computing has demonstrated clear economic advantage over classical computing and that companies are paying recurring fees for that reason are virtually non-existent. Although D-Wave and others have published multiple “production applications,” the degree to which QPUs contribute within quantum-classical hybrid processing or the associated economic superiority over traditional methods has not been made fully transparent.

    Therefore, when companies announce “commercial customers are increasing,”

    it is best not to interpret that as “quantum computers have begun to be commonly used in enterprise production.”

    Having commercial customers is not the same as proving quantum computers’ commercial value.

    Revenue growth is not the same as practical quantum computing

    Quantum companies are already generating revenue.

    But that revenue comprises hardware sales, government contracts, PoCs, joint research, cloud usage, sensing, and communications.

    What quantum companies are earning and whether quantum computers have become a technology that earns money in production are still not the same thing.

    To assess the current state of commercialization, one should look less at headline revenue and more at who is paying, for what, and whether the payments are ongoing.

    Related articles

    Quantum companies’ revenues have started to rise.

    In Q2 2026, IonQ reported $80.10 million (about ¥12.7 billion), Infleqtion reported $13.50 million (about ¥2.1 billion), Quantinuum reported $8.00 million (about ¥1.27 billion), Rigetti Computing reported $5.10 million (about ¥810 million), and D-Wave Quantum reported $3.10 million (about ¥490 million) in revenue.

    IonQ grew 287% year over year, Quantinuum 279%, and Infleqtion 157%. Looking at the raw numbers, it can appear that the quantum-computing market is rapidly commercializing and monetizing.

    However, what exactly are quantum companies selling to generate these revenues?

    Is it quantum compute time? Physical hardware? Government R&D contracts? Quantum sensing or communications?

    Tracing the current revenue structures of major quantum firms shows that the phrase “commercialization of the quantum market” often contains very different realities than the commonly imagined ‘‘commercialization of quantum computers’’.

    *Currency conversions are approximate, using an exchange rate of $1 ≈ ¥159 as of August 20, 2026.

    IonQ — the $12.7 billion quarter is not purely “quantum compute fees”

    IonQ stands out in Q2 2026.

    Revenue was $80.10 million (about ¥12.7 billion), roughly four times year-over-year and far above other pure-play quantum companies.

    However, it would be inaccurate to interpret this number as “IonQ’s quantum computers were used for about ¥12.7 billion worth of compute.”

    IonQ is no longer a company that only does quantum computing.

    Through successive acquisitions, the company has expanded into quantum networking, quantum security, sensing, photonics, and space-related technologies.

    For Q2 the company said roughly 25% of revenue came from customers using multiple product categories. About 60% of revenue was classified as “commercial,” but the scope of that commercial business has broadened significantly compared with the past.

    The company attributes revenue growth to Tempo quantum computer deployments and cloud usage, as well as demand across its broader “quantum platform.”

    In other words, IonQ’s current revenue should be viewed as

    quantum computing + quantum networking + security + sensing + other quantum-related businesses

    combined.

    While revenue is clearly growing rapidly, that growth alone no longer lets you infer the commercial demand for quantum computers themselves.

    Infleqtion — all quantum, but government contracts remain central

    Infleqtion is also interesting.

    Q2 2026 revenue was $13.50 million (about ¥2.1 billion), a 157% year-over-year increase. The company emphasized that this revenue was “100% organic and entirely from quantum.”

    Unlike IonQ, its growth is not being boosted by acquired non-quantum businesses.

    But “entirely quantum” is not the same as “revenue from commercial use of quantum computers.”

    Infleqtion develops the neutral-atom quantum computer “Sqale,” but it also has significant business lines in atomic clocks and quantum sensing.

    Moreover, government contracts play a large role in the company’s revenue. For example, Infleqtion has a $20 million (about ¥3.18 billion) contract with NASA to develop a spaceborne quantum gravity gradiometer. In Q1 2026 that NASA contract alone increased year-over-year revenue by about $4.0 million (about ¥640 million). The company has also derived revenue from the U.S. Department of Defense, the U.S. Army, the European Space Agency, and Japanese government projects.

    Infleqtion’s revenue is certainly “quantum,” but it includes

    quantum computing, quantum sensing, atomic clocks, and government R&D

    all together.

    Again, revenue from a quantum company should be distinguished from revenue specifically generated by commercial use of quantum computers.

    D-Wave — selling a single machine can change the financials

    D-Wave is one of the clearest examples of the current market structure.

    Q2 2026 revenue was $3.10 million (about ¥490 million), roughly flat year-over-year.

    However, first-half 2025 revenue was $18.10 million (about ¥2.88 billion), while first-half 2026 revenue was $5.90 million (about ¥940 million) — a 67% decline.

    The reason is simple: in the first half of 2025 D-Wave recorded a $13.70 million (about ¥2.18 billion) sale of a quantum computer. Selling one large quantum machine can materially swing annual or quarterly revenue for today’s quantum companies.

    D-Wave also offers a cloud service, Leap, as Quantum Computing as a Service (QCaaS).

    Of Leap’s QCaaS revenue in H1 2026, $1.30 million (about ¥210 million) was classified by D-Wave as revenue from “production applications,” representing 37.3% of total QCaaS revenue. In the prior-year period that figure was $0.30 million (about ¥48 million), or 9.8%.

    On the surface, those numbers suggest that production use of quantum computers is expanding. But this interpretation requires caution.

    Leap provides both direct QPU access and quantum-classical hybrid solvers. The internal workings of the latter are a black box to users: external observers cannot verify whether a QPU was actually used for a given calculation, or to what extent a QPU contributed to the result.

    What these figures do indicate is that D-Wave’s optimization services classified as “production” are being used. They do not definitively quantify the commercial value of the QPU itself.

    D-Wave’s current revenue model combines

    hardware sales + cloud usage + professional services

    with multiple models coexisting.

    Particularly, QCaaS “production” revenue should be read separately from metrics that would directly prove the QPU’s commercial usage.

    Rigetti — selling QPUs as well as offering cloud access

    Rigetti has also broadened how it generates revenue in recent years.

    Q2 2026 revenue was $5.10 million (about ¥810 million). The company attributes revenue growth to sales of the nine-qubit Novera quantum computing system and related products.

    Historically Rigetti provided quantum computing through its cloud QCS and via platforms such as Amazon Braket and Microsoft Azure Quantum.

    More recently, however, sales of QPUs and on-premises quantum systems directly to universities, research institutions, and HPC centers have become notable.

    For example, in Q1 2026 Rigetti sold and shipped a Novera QPU to the University of Saskatchewan in Canada. It is also delivering systems to India’s C-DAC and the Pittsburgh Supercomputing Center.

    What customers are buying in these cases is less a service that accelerates existing business processes and more research equipment to study and validate quantum computers themselves.

    More hardware sales will raise revenue, but that should not automatically be interpreted as equivalent to widespread industrial demand for quantum computation.

    Quantinuum — continuous cloud access as a different model

    Quantinuum presents a somewhat different case.

    Q2 2026 revenue was $8.00 million (about ¥1.27 billion), a 279% year-over-year increase.

    Notably, Quantinuum cites cloud business as the primary driver of its revenue growth.

    Unlike hardware sales or government contracts, cloud usage can build recurring revenue as long as customers keep using it. However, increased cloud usage does not necessarily mean those computations are generating economic value in customers’ production workflows — research, evaluation, and algorithm development are included.

    Still, how far a model that sells continued access to quantum compute capacity rather than the machines themselves can scale will be an important indicator of commercialization in the quantum industry.

    The same “revenue” can mean very different things

    Summarizing so far, current quantum-company revenue falls into at least the following categories.

    Type of revenueTypical examplesCharacteristics
    Sales of quantum computer hardwareD-Wave, RigettiSingle sales can be large, but revenue timing is project-dependent
    Cloud compute usageQuantinuum, D-Wave, IonQ, RigettiCan become recurring/stock-like if usage is sustained
    Government and R&D contractsInfleqtion, etc.A major source of demand in today’s quantum industry
    Quantum sensing and communicationsIonQ, InfleqtionMarkets outside quantum computing
    Professional services and joint researchVarious firmsPoCs, algorithm development, deployment support, etc.

    On the books, these are all simply revenue.

    But their implications for the industry’s maturity are quite different.

    For example, if a research institution buys a $20 million (about ¥3.18 billion) quantum computer, the manufacturer records about ¥3.18 billion in revenue.

    However, that does not necessarily mean that

    “the quantum computer was purchased because using it will generate more than ¥3.18 billion in economic value”

    It might have been bought as research equipment.

    It might be for national strategy reasons, to maintain domestic quantum computing capability.

    Or it might be an R&D investment to prepare for the future.

    Conversely, if a company pays monthly for quantum compute services and continuously reduces logistics or production costs as a result, the same revenue figure has a very different meaning.

    “Commercial customer” does not mean “a company using quantum computers in production”

    This point deserves special attention when assessing the current quantum industry.

    Quantum companies often report revenue from “commercial customers” or “commercial revenue.”

    D-Wave said 62.4% of Q2 2026 revenue came from commercial customers. IonQ also reports about 60% commercial revenue.

    From the headline numbers, one might conclude

    “Sixty percent of revenue comes from private companies using quantum computers in production.”

    But reading it that way today is almost certainly misleading.

    “Commercial customer” simply denotes a non-government, non-research institutional customer.

    Such a customer may be:

    • evaluating a quantum computer’s performance
    • running a proof of concept (PoC)
    • conducting joint research
    • developing algorithms to prepare for the future
    • experimentally using quantum computers on the cloud
    • purchasing quantum sensing or communications products rather than quantum compute

    Any of these activities can qualify a firm as a commercial customer.

    That is entirely different from saying a quantum computer is integrated into a company’s daily operational systems and continuously delivering superior economic value over classical methods.

    Current quantum computers still face substantial limitations in performance, error rates, problem size, and cost.

    At present, cases where one can externally verify that quantum computing has demonstrated clear economic advantage over classical computing and that companies are paying recurring fees for that reason are virtually non-existent. Although D-Wave and others have published multiple “production applications,” the degree to which QPUs contribute within quantum-classical hybrid processing or the associated economic superiority over traditional methods has not been made fully transparent.

    Therefore, when companies announce “commercial customers are increasing,”

    it is best not to interpret that as “quantum computers have begun to be commonly used in enterprise production.”

    Having commercial customers is not the same as proving quantum computers’ commercial value.

    Revenue growth is not the same as practical quantum computing

    Quantum companies are already generating revenue.

    But that revenue comprises hardware sales, government contracts, PoCs, joint research, cloud usage, sensing, and communications.

    What quantum companies are earning and whether quantum computers have become a technology that earns money in production are still not the same thing.

    To assess the current state of commercialization, one should look less at headline revenue and more at who is paying, for what, and whether the payments are ongoing.

    Related articles

  • IonQ, Q2 2026 revenue up 287% year over year; raises full-year guidance
  • Infleqtion corrects Q2 2026 revenue to $13.5M; raises full-year outlook
  • Quantinuum Q2 2026 revenue up 279% year over year; announces Helios logical fidelity
  • Rigetti Q2 2026 revenue $5.1M; publishes performance of 108-qubit machine
  • D-Wave Q2 2026 revenue $3.1M; first-half bookings increased more than twelvefold
  • developing algorithms to prepare for the future
  • experimentally using quantum computers on the cloud
  • purchasing quantum sensing or communications products rather than quantum compute
  • Any of these activities can qualify a firm as a commercial customer.

    That is entirely different from saying a quantum computer is integrated into a company’s daily operational systems and continuously delivering superior economic value over classical methods.

    Current quantum computers still face substantial limitations in performance, error rates, problem size, and cost.

    At present, cases where one can externally verify that quantum computing has demonstrated clear economic advantage over classical computing and that companies are paying recurring fees for that reason are virtually non-existent. Although D-Wave and others have published multiple “production applications,” the degree to which QPUs contribute within quantum-classical hybrid processing or the associated economic superiority over traditional methods has not been made fully transparent.

    Therefore, when companies announce “commercial customers are increasing,”

    it is best not to interpret that as “quantum computers have begun to be commonly used in enterprise production.”

    Having commercial customers is not the same as proving quantum computers’ commercial value.

    Revenue growth is not the same as practical quantum computing

    Quantum companies are already generating revenue.

    But that revenue comprises hardware sales, government contracts, PoCs, joint research, cloud usage, sensing, and communications.

    What quantum companies are earning and whether quantum computers have become a technology that earns money in production are still not the same thing.

    To assess the current state of commercialization, one should look less at headline revenue and more at who is paying, for what, and whether the payments are ongoing.

    Related articles

  • conducting joint research
  • developing algorithms to prepare for the future
  • experimentally using quantum computers on the cloud
  • purchasing quantum sensing or communications products rather than quantum compute
  • Any of these activities can qualify a firm as a commercial customer.

    That is entirely different from saying a quantum computer is integrated into a company’s daily operational systems and continuously delivering superior economic value over classical methods.

    Current quantum computers still face substantial limitations in performance, error rates, problem size, and cost.

    At present, cases where one can externally verify that quantum computing has demonstrated clear economic advantage over classical computing and that companies are paying recurring fees for that reason are virtually non-existent. Although D-Wave and others have published multiple “production applications,” the degree to which QPUs contribute within quantum-classical hybrid processing or the associated economic superiority over traditional methods has not been made fully transparent.

    Therefore, when companies announce “commercial customers are increasing,”

    it is best not to interpret that as “quantum computers have begun to be commonly used in enterprise production.”

    Having commercial customers is not the same as proving quantum computers’ commercial value.

    Revenue growth is not the same as practical quantum computing

    Quantum companies are already generating revenue.

    But that revenue comprises hardware sales, government contracts, PoCs, joint research, cloud usage, sensing, and communications.

    What quantum companies are earning and whether quantum computers have become a technology that earns money in production are still not the same thing.

    To assess the current state of commercialization, one should look less at headline revenue and more at who is paying, for what, and whether the payments are ongoing.

    Related articles

  • running a proof of concept (PoC)
  • conducting joint research
  • developing algorithms to prepare for the future
  • experimentally using quantum computers on the cloud
  • purchasing quantum sensing or communications products rather than quantum compute
  • Any of these activities can qualify a firm as a commercial customer.

    That is entirely different from saying a quantum computer is integrated into a company’s daily operational systems and continuously delivering superior economic value over classical methods.

    Current quantum computers still face substantial limitations in performance, error rates, problem size, and cost.

    At present, cases where one can externally verify that quantum computing has demonstrated clear economic advantage over classical computing and that companies are paying recurring fees for that reason are virtually non-existent. Although D-Wave and others have published multiple “production applications,” the degree to which QPUs contribute within quantum-classical hybrid processing or the associated economic superiority over traditional methods has not been made fully transparent.

    Therefore, when companies announce “commercial customers are increasing,”

    it is best not to interpret that as “quantum computers have begun to be commonly used in enterprise production.”

    Having commercial customers is not the same as proving quantum computers’ commercial value.

    Revenue growth is not the same as practical quantum computing

    Quantum companies are already generating revenue.

    But that revenue comprises hardware sales, government contracts, PoCs, joint research, cloud usage, sensing, and communications.

    What quantum companies are earning and whether quantum computers have become a technology that earns money in production are still not the same thing.

    To assess the current state of commercialization, one should look less at headline revenue and more at who is paying, for what, and whether the payments are ongoing.

    Related articles

  • evaluating a quantum computer’s performance
  • running a proof of concept (PoC)
  • conducting joint research
  • developing algorithms to prepare for the future
  • experimentally using quantum computers on the cloud
  • purchasing quantum sensing or communications products rather than quantum compute
  • Any of these activities can qualify a firm as a commercial customer.

    That is entirely different from saying a quantum computer is integrated into a company’s daily operational systems and continuously delivering superior economic value over classical methods.

    Current quantum computers still face substantial limitations in performance, error rates, problem size, and cost.

    At present, cases where one can externally verify that quantum computing has demonstrated clear economic advantage over classical computing and that companies are paying recurring fees for that reason are virtually non-existent. Although D-Wave and others have published multiple “production applications,” the degree to which QPUs contribute within quantum-classical hybrid processing or the associated economic superiority over traditional methods has not been made fully transparent.

    Therefore, when companies announce “commercial customers are increasing,”

    it is best not to interpret that as “quantum computers have begun to be commonly used in enterprise production.”

    Having commercial customers is not the same as proving quantum computers’ commercial value.

    Revenue growth is not the same as practical quantum computing

    Quantum companies are already generating revenue.

    But that revenue comprises hardware sales, government contracts, PoCs, joint research, cloud usage, sensing, and communications.

    What quantum companies are earning and whether quantum computers have become a technology that earns money in production are still not the same thing.

    To assess the current state of commercialization, one should look less at headline revenue and more at who is paying, for what, and whether the payments are ongoing.

    Related articles

    • evaluating a quantum computer’s performance
    • running a proof of concept (PoC)
    • conducting joint research
    • developing algorithms to prepare for the future
    • experimentally using quantum computers on the cloud
    • purchasing quantum sensing or communications products rather than quantum compute

    Any of these activities can qualify a firm as a commercial customer.

    That is entirely different from saying a quantum computer is integrated into a company’s daily operational systems and continuously delivering superior economic value over classical methods.

    Current quantum computers still face substantial limitations in performance, error rates, problem size, and cost.

    At present, cases where one can externally verify that quantum computing has demonstrated clear economic advantage over classical computing and that companies are paying recurring fees for that reason are virtually non-existent. Although D-Wave and others have published multiple “production applications,” the degree to which QPUs contribute within quantum-classical hybrid processing or the associated economic superiority over traditional methods has not been made fully transparent.

    Therefore, when companies announce “commercial customers are increasing,”

    it is best not to interpret that as “quantum computers have begun to be commonly used in enterprise production.”

    Having commercial customers is not the same as proving quantum computers’ commercial value.

    Revenue growth is not the same as practical quantum computing

    Quantum companies are already generating revenue.

    But that revenue comprises hardware sales, government contracts, PoCs, joint research, cloud usage, sensing, and communications.

    What quantum companies are earning and whether quantum computers have become a technology that earns money in production are still not the same thing.

    To assess the current state of commercialization, one should look less at headline revenue and more at who is paying, for what, and whether the payments are ongoing.

    Related articles

    • evaluating a quantum computer’s performance
    • running a proof of concept (PoC)
    • conducting joint research
    • developing algorithms to prepare for the future
    • experimentally using quantum computers on the cloud
    • purchasing quantum sensing or communications products rather than quantum compute

    Any of these activities can qualify a firm as a commercial customer.

    That is entirely different from saying a quantum computer is integrated into a company’s daily operational systems and continuously delivering superior economic value over classical methods.

    Current quantum computers still face substantial limitations in performance, error rates, problem size, and cost.

    At present, cases where one can externally verify that quantum computing has demonstrated clear economic advantage over classical computing and that companies are paying recurring fees for that reason are virtually non-existent. Although D-Wave and others have published multiple “production applications,” the degree to which QPUs contribute within quantum-classical hybrid processing or the associated economic superiority over traditional methods has not been made fully transparent.

    Therefore, when companies announce “commercial customers are increasing,”

    it is best not to interpret that as “quantum computers have begun to be commonly used in enterprise production.”

    Having commercial customers is not the same as proving quantum computers’ commercial value.

    Revenue growth is not the same as practical quantum computing

    Quantum companies are already generating revenue.

    But that revenue comprises hardware sales, government contracts, PoCs, joint research, cloud usage, sensing, and communications.

    What quantum companies are earning and whether quantum computers have become a technology that earns money in production are still not the same thing.

    To assess the current state of commercialization, one should look less at headline revenue and more at who is paying, for what, and whether the payments are ongoing.

    Related articles

    Quantum companies’ revenues have started to rise.

    In Q2 2026, IonQ reported $80.10 million (about ¥12.7 billion), Infleqtion reported $13.50 million (about ¥2.1 billion), Quantinuum reported $8.00 million (about ¥1.27 billion), Rigetti Computing reported $5.10 million (about ¥810 million), and D-Wave Quantum reported $3.10 million (about ¥490 million) in revenue.

    IonQ grew 287% year over year, Quantinuum 279%, and Infleqtion 157%. Looking at the raw numbers, it can appear that the quantum-computing market is rapidly commercializing and monetizing.

    However, what exactly are quantum companies selling to generate these revenues?

    Is it quantum compute time? Physical hardware? Government R&D contracts? Quantum sensing or communications?

    Tracing the current revenue structures of major quantum firms shows that the phrase “commercialization of the quantum market” often contains very different realities than the commonly imagined ‘‘commercialization of quantum computers’’.

    *Currency conversions are approximate, using an exchange rate of $1 ≈ ¥159 as of August 20, 2026.

    IonQ — the $12.7 billion quarter is not purely “quantum compute fees”

    IonQ stands out in Q2 2026.

    Revenue was $80.10 million (about ¥12.7 billion), roughly four times year-over-year and far above other pure-play quantum companies.

    However, it would be inaccurate to interpret this number as “IonQ’s quantum computers were used for about ¥12.7 billion worth of compute.”

    IonQ is no longer a company that only does quantum computing.

    Through successive acquisitions, the company has expanded into quantum networking, quantum security, sensing, photonics, and space-related technologies.

    For Q2 the company said roughly 25% of revenue came from customers using multiple product categories. About 60% of revenue was classified as “commercial,” but the scope of that commercial business has broadened significantly compared with the past.

    The company attributes revenue growth to Tempo quantum computer deployments and cloud usage, as well as demand across its broader “quantum platform.”

    In other words, IonQ’s current revenue should be viewed as

    quantum computing + quantum networking + security + sensing + other quantum-related businesses

    combined.

    While revenue is clearly growing rapidly, that growth alone no longer lets you infer the commercial demand for quantum computers themselves.

    Infleqtion — all quantum, but government contracts remain central

    Infleqtion is also interesting.

    Q2 2026 revenue was $13.50 million (about ¥2.1 billion), a 157% year-over-year increase. The company emphasized that this revenue was “100% organic and entirely from quantum.”

    Unlike IonQ, its growth is not being boosted by acquired non-quantum businesses.

    But “entirely quantum” is not the same as “revenue from commercial use of quantum computers.”

    Infleqtion develops the neutral-atom quantum computer “Sqale,” but it also has significant business lines in atomic clocks and quantum sensing.

    Moreover, government contracts play a large role in the company’s revenue. For example, Infleqtion has a $20 million (about ¥3.18 billion) contract with NASA to develop a spaceborne quantum gravity gradiometer. In Q1 2026 that NASA contract alone increased year-over-year revenue by about $4.0 million (about ¥640 million). The company has also derived revenue from the U.S. Department of Defense, the U.S. Army, the European Space Agency, and Japanese government projects.

    Infleqtion’s revenue is certainly “quantum,” but it includes

    quantum computing, quantum sensing, atomic clocks, and government R&D

    all together.

    Again, revenue from a quantum company should be distinguished from revenue specifically generated by commercial use of quantum computers.

    D-Wave — selling a single machine can change the financials

    D-Wave is one of the clearest examples of the current market structure.

    Q2 2026 revenue was $3.10 million (about ¥490 million), roughly flat year-over-year.

    However, first-half 2025 revenue was $18.10 million (about ¥2.88 billion), while first-half 2026 revenue was $5.90 million (about ¥940 million) — a 67% decline.

    The reason is simple: in the first half of 2025 D-Wave recorded a $13.70 million (about ¥2.18 billion) sale of a quantum computer. Selling one large quantum machine can materially swing annual or quarterly revenue for today’s quantum companies.

    D-Wave also offers a cloud service, Leap, as Quantum Computing as a Service (QCaaS).

    Of Leap’s QCaaS revenue in H1 2026, $1.30 million (about ¥210 million) was classified by D-Wave as revenue from “production applications,” representing 37.3% of total QCaaS revenue. In the prior-year period that figure was $0.30 million (about ¥48 million), or 9.8%.

    On the surface, those numbers suggest that production use of quantum computers is expanding. But this interpretation requires caution.

    Leap provides both direct QPU access and quantum-classical hybrid solvers. The internal workings of the latter are a black box to users: external observers cannot verify whether a QPU was actually used for a given calculation, or to what extent a QPU contributed to the result.

    What these figures do indicate is that D-Wave’s optimization services classified as “production” are being used. They do not definitively quantify the commercial value of the QPU itself.

    D-Wave’s current revenue model combines

    hardware sales + cloud usage + professional services

    with multiple models coexisting.

    Particularly, QCaaS “production” revenue should be read separately from metrics that would directly prove the QPU’s commercial usage.

    Rigetti — selling QPUs as well as offering cloud access

    Rigetti has also broadened how it generates revenue in recent years.

    Q2 2026 revenue was $5.10 million (about ¥810 million). The company attributes revenue growth to sales of the nine-qubit Novera quantum computing system and related products.

    Historically Rigetti provided quantum computing through its cloud QCS and via platforms such as Amazon Braket and Microsoft Azure Quantum.

    More recently, however, sales of QPUs and on-premises quantum systems directly to universities, research institutions, and HPC centers have become notable.

    For example, in Q1 2026 Rigetti sold and shipped a Novera QPU to the University of Saskatchewan in Canada. It is also delivering systems to India’s C-DAC and the Pittsburgh Supercomputing Center.

    What customers are buying in these cases is less a service that accelerates existing business processes and more research equipment to study and validate quantum computers themselves.

    More hardware sales will raise revenue, but that should not automatically be interpreted as equivalent to widespread industrial demand for quantum computation.

    Quantinuum — continuous cloud access as a different model

    Quantinuum presents a somewhat different case.

    Q2 2026 revenue was $8.00 million (about ¥1.27 billion), a 279% year-over-year increase.

    Notably, Quantinuum cites cloud business as the primary driver of its revenue growth.

    Unlike hardware sales or government contracts, cloud usage can build recurring revenue as long as customers keep using it. However, increased cloud usage does not necessarily mean those computations are generating economic value in customers’ production workflows — research, evaluation, and algorithm development are included.

    Still, how far a model that sells continued access to quantum compute capacity rather than the machines themselves can scale will be an important indicator of commercialization in the quantum industry.

    The same “revenue” can mean very different things

    Summarizing so far, current quantum-company revenue falls into at least the following categories.

    Type of revenueTypical examplesCharacteristics
    Sales of quantum computer hardwareD-Wave, RigettiSingle sales can be large, but revenue timing is project-dependent
    Cloud compute usageQuantinuum, D-Wave, IonQ, RigettiCan become recurring/stock-like if usage is sustained
    Government and R&D contractsInfleqtion, etc.A major source of demand in today’s quantum industry
    Quantum sensing and communicationsIonQ, InfleqtionMarkets outside quantum computing
    Professional services and joint researchVarious firmsPoCs, algorithm development, deployment support, etc.

    On the books, these are all simply revenue.

    But their implications for the industry’s maturity are quite different.

    For example, if a research institution buys a $20 million (about ¥3.18 billion) quantum computer, the manufacturer records about ¥3.18 billion in revenue.

    However, that does not necessarily mean that

    “the quantum computer was purchased because using it will generate more than ¥3.18 billion in economic value”

    It might have been bought as research equipment.

    It might be for national strategy reasons, to maintain domestic quantum computing capability.

    Or it might be an R&D investment to prepare for the future.

    Conversely, if a company pays monthly for quantum compute services and continuously reduces logistics or production costs as a result, the same revenue figure has a very different meaning.

    “Commercial customer” does not mean “a company using quantum computers in production”

    This point deserves special attention when assessing the current quantum industry.

    Quantum companies often report revenue from “commercial customers” or “commercial revenue.”

    D-Wave said 62.4% of Q2 2026 revenue came from commercial customers. IonQ also reports about 60% commercial revenue.

    From the headline numbers, one might conclude

    “Sixty percent of revenue comes from private companies using quantum computers in production.”

    But reading it that way today is almost certainly misleading.

    “Commercial customer” simply denotes a non-government, non-research institutional customer.

    Such a customer may be:

    • evaluating a quantum computer’s performance
    • running a proof of concept (PoC)
    • conducting joint research
    • developing algorithms to prepare for the future
    • experimentally using quantum computers on the cloud
    • purchasing quantum sensing or communications products rather than quantum compute

    Any of these activities can qualify a firm as a commercial customer.

    That is entirely different from saying a quantum computer is integrated into a company’s daily operational systems and continuously delivering superior economic value over classical methods.

    Current quantum computers still face substantial limitations in performance, error rates, problem size, and cost.

    At present, cases where one can externally verify that quantum computing has demonstrated clear economic advantage over classical computing and that companies are paying recurring fees for that reason are virtually non-existent. Although D-Wave and others have published multiple “production applications,” the degree to which QPUs contribute within quantum-classical hybrid processing or the associated economic superiority over traditional methods has not been made fully transparent.

    Therefore, when companies announce “commercial customers are increasing,”

    it is best not to interpret that as “quantum computers have begun to be commonly used in enterprise production.”

    Having commercial customers is not the same as proving quantum computers’ commercial value.

    Revenue growth is not the same as practical quantum computing

    Quantum companies are already generating revenue.

    But that revenue comprises hardware sales, government contracts, PoCs, joint research, cloud usage, sensing, and communications.

    What quantum companies are earning and whether quantum computers have become a technology that earns money in production are still not the same thing.

    To assess the current state of commercialization, one should look less at headline revenue and more at who is paying, for what, and whether the payments are ongoing.

    Related articles

  • developing algorithms to prepare for the future
  • experimentally using quantum computers on the cloud
  • purchasing quantum sensing or communications products rather than quantum compute
  • Any of these activities can qualify a firm as a commercial customer.

    That is entirely different from saying a quantum computer is integrated into a company’s daily operational systems and continuously delivering superior economic value over classical methods.

    Current quantum computers still face substantial limitations in performance, error rates, problem size, and cost.

    At present, cases where one can externally verify that quantum computing has demonstrated clear economic advantage over classical computing and that companies are paying recurring fees for that reason are virtually non-existent. Although D-Wave and others have published multiple “production applications,” the degree to which QPUs contribute within quantum-classical hybrid processing or the associated economic superiority over traditional methods has not been made fully transparent.

    Therefore, when companies announce “commercial customers are increasing,”

    it is best not to interpret that as “quantum computers have begun to be commonly used in enterprise production.”

    Having commercial customers is not the same as proving quantum computers’ commercial value.

    Revenue growth is not the same as practical quantum computing

    Quantum companies are already generating revenue.

    But that revenue comprises hardware sales, government contracts, PoCs, joint research, cloud usage, sensing, and communications.

    What quantum companies are earning and whether quantum computers have become a technology that earns money in production are still not the same thing.

    To assess the current state of commercialization, one should look less at headline revenue and more at who is paying, for what, and whether the payments are ongoing.

    Related articles

  • conducting joint research
  • developing algorithms to prepare for the future
  • experimentally using quantum computers on the cloud
  • purchasing quantum sensing or communications products rather than quantum compute
  • Any of these activities can qualify a firm as a commercial customer.

    That is entirely different from saying a quantum computer is integrated into a company’s daily operational systems and continuously delivering superior economic value over classical methods.

    Current quantum computers still face substantial limitations in performance, error rates, problem size, and cost.

    At present, cases where one can externally verify that quantum computing has demonstrated clear economic advantage over classical computing and that companies are paying recurring fees for that reason are virtually non-existent. Although D-Wave and others have published multiple “production applications,” the degree to which QPUs contribute within quantum-classical hybrid processing or the associated economic superiority over traditional methods has not been made fully transparent.

    Therefore, when companies announce “commercial customers are increasing,”

    it is best not to interpret that as “quantum computers have begun to be commonly used in enterprise production.”

    Having commercial customers is not the same as proving quantum computers’ commercial value.

    Revenue growth is not the same as practical quantum computing

    Quantum companies are already generating revenue.

    But that revenue comprises hardware sales, government contracts, PoCs, joint research, cloud usage, sensing, and communications.

    What quantum companies are earning and whether quantum computers have become a technology that earns money in production are still not the same thing.

    To assess the current state of commercialization, one should look less at headline revenue and more at who is paying, for what, and whether the payments are ongoing.

    Related articles

  • running a proof of concept (PoC)
  • conducting joint research
  • developing algorithms to prepare for the future
  • experimentally using quantum computers on the cloud
  • purchasing quantum sensing or communications products rather than quantum compute
  • Any of these activities can qualify a firm as a commercial customer.

    That is entirely different from saying a quantum computer is integrated into a company’s daily operational systems and continuously delivering superior economic value over classical methods.

    Current quantum computers still face substantial limitations in performance, error rates, problem size, and cost.

    At present, cases where one can externally verify that quantum computing has demonstrated clear economic advantage over classical computing and that companies are paying recurring fees for that reason are virtually non-existent. Although D-Wave and others have published multiple “production applications,” the degree to which QPUs contribute within quantum-classical hybrid processing or the associated economic superiority over traditional methods has not been made fully transparent.

    Therefore, when companies announce “commercial customers are increasing,”

    it is best not to interpret that as “quantum computers have begun to be commonly used in enterprise production.”

    Having commercial customers is not the same as proving quantum computers’ commercial value.

    Revenue growth is not the same as practical quantum computing

    Quantum companies are already generating revenue.

    But that revenue comprises hardware sales, government contracts, PoCs, joint research, cloud usage, sensing, and communications.

    What quantum companies are earning and whether quantum computers have become a technology that earns money in production are still not the same thing.

    To assess the current state of commercialization, one should look less at headline revenue and more at who is paying, for what, and whether the payments are ongoing.

    Related articles

  • evaluating a quantum computer’s performance
  • running a proof of concept (PoC)
  • conducting joint research
  • developing algorithms to prepare for the future
  • experimentally using quantum computers on the cloud
  • purchasing quantum sensing or communications products rather than quantum compute
  • Any of these activities can qualify a firm as a commercial customer.

    That is entirely different from saying a quantum computer is integrated into a company’s daily operational systems and continuously delivering superior economic value over classical methods.

    Current quantum computers still face substantial limitations in performance, error rates, problem size, and cost.

    At present, cases where one can externally verify that quantum computing has demonstrated clear economic advantage over classical computing and that companies are paying recurring fees for that reason are virtually non-existent. Although D-Wave and others have published multiple “production applications,” the degree to which QPUs contribute within quantum-classical hybrid processing or the associated economic superiority over traditional methods has not been made fully transparent.

    Therefore, when companies announce “commercial customers are increasing,”

    it is best not to interpret that as “quantum computers have begun to be commonly used in enterprise production.”

    Having commercial customers is not the same as proving quantum computers’ commercial value.

    Revenue growth is not the same as practical quantum computing

    Quantum companies are already generating revenue.

    But that revenue comprises hardware sales, government contracts, PoCs, joint research, cloud usage, sensing, and communications.

    What quantum companies are earning and whether quantum computers have become a technology that earns money in production are still not the same thing.

    To assess the current state of commercialization, one should look less at headline revenue and more at who is paying, for what, and whether the payments are ongoing.

    Related articles

    • evaluating a quantum computer’s performance
    • running a proof of concept (PoC)
    • conducting joint research
    • developing algorithms to prepare for the future
    • experimentally using quantum computers on the cloud
    • purchasing quantum sensing or communications products rather than quantum compute

    Any of these activities can qualify a firm as a commercial customer.

    That is entirely different from saying a quantum computer is integrated into a company’s daily operational systems and continuously delivering superior economic value over classical methods.

    Current quantum computers still face substantial limitations in performance, error rates, problem size, and cost.

    At present, cases where one can externally verify that quantum computing has demonstrated clear economic advantage over classical computing and that companies are paying recurring fees for that reason are virtually non-existent. Although D-Wave and others have published multiple “production applications,” the degree to which QPUs contribute within quantum-classical hybrid processing or the associated economic superiority over traditional methods has not been made fully transparent.

    Therefore, when companies announce “commercial customers are increasing,”

    it is best not to interpret that as “quantum computers have begun to be commonly used in enterprise production.”

    Having commercial customers is not the same as proving quantum computers’ commercial value.

    Revenue growth is not the same as practical quantum computing

    Quantum companies are already generating revenue.

    But that revenue comprises hardware sales, government contracts, PoCs, joint research, cloud usage, sensing, and communications.

    What quantum companies are earning and whether quantum computers have become a technology that earns money in production are still not the same thing.

    To assess the current state of commercialization, one should look less at headline revenue and more at who is paying, for what, and whether the payments are ongoing.

    Related articles

    • evaluating a quantum computer’s performance
    • running a proof of concept (PoC)
    • conducting joint research
    • developing algorithms to prepare for the future
    • experimentally using quantum computers on the cloud
    • purchasing quantum sensing or communications products rather than quantum compute

    Any of these activities can qualify a firm as a commercial customer.

    That is entirely different from saying a quantum computer is integrated into a company’s daily operational systems and continuously delivering superior economic value over classical methods.

    Current quantum computers still face substantial limitations in performance, error rates, problem size, and cost.

    At present, cases where one can externally verify that quantum computing has demonstrated clear economic advantage over classical computing and that companies are paying recurring fees for that reason are virtually non-existent. Although D-Wave and others have published multiple “production applications,” the degree to which QPUs contribute within quantum-classical hybrid processing or the associated economic superiority over traditional methods has not been made fully transparent.

    Therefore, when companies announce “commercial customers are increasing,”

    it is best not to interpret that as “quantum computers have begun to be commonly used in enterprise production.”

    Having commercial customers is not the same as proving quantum computers’ commercial value.

    Revenue growth is not the same as practical quantum computing

    Quantum companies are already generating revenue.

    But that revenue comprises hardware sales, government contracts, PoCs, joint research, cloud usage, sensing, and communications.

    What quantum companies are earning and whether quantum computers have become a technology that earns money in production are still not the same thing.

    To assess the current state of commercialization, one should look less at headline revenue and more at who is paying, for what, and whether the payments are ongoing.

    Related articles

    Quantum companies’ revenues have started to rise.

    In Q2 2026, IonQ reported $80.10 million (about ¥12.7 billion), Infleqtion reported $13.50 million (about ¥2.1 billion), Quantinuum reported $8.00 million (about ¥1.27 billion), Rigetti Computing reported $5.10 million (about ¥810 million), and D-Wave Quantum reported $3.10 million (about ¥490 million) in revenue.

    IonQ grew 287% year over year, Quantinuum 279%, and Infleqtion 157%. Looking at the raw numbers, it can appear that the quantum-computing market is rapidly commercializing and monetizing.

    However, what exactly are quantum companies selling to generate these revenues?

    Is it quantum compute time? Physical hardware? Government R&D contracts? Quantum sensing or communications?

    Tracing the current revenue structures of major quantum firms shows that the phrase “commercialization of the quantum market” often contains very different realities than the commonly imagined ‘‘commercialization of quantum computers’’.

    *Currency conversions are approximate, using an exchange rate of $1 ≈ ¥159 as of August 20, 2026.

    IonQ — the $12.7 billion quarter is not purely “quantum compute fees”

    IonQ stands out in Q2 2026.

    Revenue was $80.10 million (about ¥12.7 billion), roughly four times year-over-year and far above other pure-play quantum companies.

    However, it would be inaccurate to interpret this number as “IonQ’s quantum computers were used for about ¥12.7 billion worth of compute.”

    IonQ is no longer a company that only does quantum computing.

    Through successive acquisitions, the company has expanded into quantum networking, quantum security, sensing, photonics, and space-related technologies.

    For Q2 the company said roughly 25% of revenue came from customers using multiple product categories. About 60% of revenue was classified as “commercial,” but the scope of that commercial business has broadened significantly compared with the past.

    The company attributes revenue growth to Tempo quantum computer deployments and cloud usage, as well as demand across its broader “quantum platform.”

    In other words, IonQ’s current revenue should be viewed as

    quantum computing + quantum networking + security + sensing + other quantum-related businesses

    combined.

    While revenue is clearly growing rapidly, that growth alone no longer lets you infer the commercial demand for quantum computers themselves.

    Infleqtion — all quantum, but government contracts remain central

    Infleqtion is also interesting.

    Q2 2026 revenue was $13.50 million (about ¥2.1 billion), a 157% year-over-year increase. The company emphasized that this revenue was “100% organic and entirely from quantum.”

    Unlike IonQ, its growth is not being boosted by acquired non-quantum businesses.

    But “entirely quantum” is not the same as “revenue from commercial use of quantum computers.”

    Infleqtion develops the neutral-atom quantum computer “Sqale,” but it also has significant business lines in atomic clocks and quantum sensing.

    Moreover, government contracts play a large role in the company’s revenue. For example, Infleqtion has a $20 million (about ¥3.18 billion) contract with NASA to develop a spaceborne quantum gravity gradiometer. In Q1 2026 that NASA contract alone increased year-over-year revenue by about $4.0 million (about ¥640 million). The company has also derived revenue from the U.S. Department of Defense, the U.S. Army, the European Space Agency, and Japanese government projects.

    Infleqtion’s revenue is certainly “quantum,” but it includes

    quantum computing, quantum sensing, atomic clocks, and government R&D

    all together.

    Again, revenue from a quantum company should be distinguished from revenue specifically generated by commercial use of quantum computers.

    D-Wave — selling a single machine can change the financials

    D-Wave is one of the clearest examples of the current market structure.

    Q2 2026 revenue was $3.10 million (about ¥490 million), roughly flat year-over-year.

    However, first-half 2025 revenue was $18.10 million (about ¥2.88 billion), while first-half 2026 revenue was $5.90 million (about ¥940 million) — a 67% decline.

    The reason is simple: in the first half of 2025 D-Wave recorded a $13.70 million (about ¥2.18 billion) sale of a quantum computer. Selling one large quantum machine can materially swing annual or quarterly revenue for today’s quantum companies.

    D-Wave also offers a cloud service, Leap, as Quantum Computing as a Service (QCaaS).

    Of Leap’s QCaaS revenue in H1 2026, $1.30 million (about ¥210 million) was classified by D-Wave as revenue from “production applications,” representing 37.3% of total QCaaS revenue. In the prior-year period that figure was $0.30 million (about ¥48 million), or 9.8%.

    On the surface, those numbers suggest that production use of quantum computers is expanding. But this interpretation requires caution.

    Leap provides both direct QPU access and quantum-classical hybrid solvers. The internal workings of the latter are a black box to users: external observers cannot verify whether a QPU was actually used for a given calculation, or to what extent a QPU contributed to the result.

    What these figures do indicate is that D-Wave’s optimization services classified as “production” are being used. They do not definitively quantify the commercial value of the QPU itself.

    D-Wave’s current revenue model combines

    hardware sales + cloud usage + professional services

    with multiple models coexisting.

    Particularly, QCaaS “production” revenue should be read separately from metrics that would directly prove the QPU’s commercial usage.

    Rigetti — selling QPUs as well as offering cloud access

    Rigetti has also broadened how it generates revenue in recent years.

    Q2 2026 revenue was $5.10 million (about ¥810 million). The company attributes revenue growth to sales of the nine-qubit Novera quantum computing system and related products.

    Historically Rigetti provided quantum computing through its cloud QCS and via platforms such as Amazon Braket and Microsoft Azure Quantum.

    More recently, however, sales of QPUs and on-premises quantum systems directly to universities, research institutions, and HPC centers have become notable.

    For example, in Q1 2026 Rigetti sold and shipped a Novera QPU to the University of Saskatchewan in Canada. It is also delivering systems to India’s C-DAC and the Pittsburgh Supercomputing Center.

    What customers are buying in these cases is less a service that accelerates existing business processes and more research equipment to study and validate quantum computers themselves.

    More hardware sales will raise revenue, but that should not automatically be interpreted as equivalent to widespread industrial demand for quantum computation.

    Quantinuum — continuous cloud access as a different model

    Quantinuum presents a somewhat different case.

    Q2 2026 revenue was $8.00 million (about ¥1.27 billion), a 279% year-over-year increase.

    Notably, Quantinuum cites cloud business as the primary driver of its revenue growth.

    Unlike hardware sales or government contracts, cloud usage can build recurring revenue as long as customers keep using it. However, increased cloud usage does not necessarily mean those computations are generating economic value in customers’ production workflows — research, evaluation, and algorithm development are included.

    Still, how far a model that sells continued access to quantum compute capacity rather than the machines themselves can scale will be an important indicator of commercialization in the quantum industry.

    The same “revenue” can mean very different things

    Summarizing so far, current quantum-company revenue falls into at least the following categories.

    Type of revenueTypical examplesCharacteristics
    Sales of quantum computer hardwareD-Wave, RigettiSingle sales can be large, but revenue timing is project-dependent
    Cloud compute usageQuantinuum, D-Wave, IonQ, RigettiCan become recurring/stock-like if usage is sustained
    Government and R&D contractsInfleqtion, etc.A major source of demand in today’s quantum industry
    Quantum sensing and communicationsIonQ, InfleqtionMarkets outside quantum computing
    Professional services and joint researchVarious firmsPoCs, algorithm development, deployment support, etc.

    On the books, these are all simply revenue.

    But their implications for the industry’s maturity are quite different.

    For example, if a research institution buys a $20 million (about ¥3.18 billion) quantum computer, the manufacturer records about ¥3.18 billion in revenue.

    However, that does not necessarily mean that

    “the quantum computer was purchased because using it will generate more than ¥3.18 billion in economic value”

    It might have been bought as research equipment.

    It might be for national strategy reasons, to maintain domestic quantum computing capability.

    Or it might be an R&D investment to prepare for the future.

    Conversely, if a company pays monthly for quantum compute services and continuously reduces logistics or production costs as a result, the same revenue figure has a very different meaning.

    “Commercial customer” does not mean “a company using quantum computers in production”

    This point deserves special attention when assessing the current quantum industry.

    Quantum companies often report revenue from “commercial customers” or “commercial revenue.”

    D-Wave said 62.4% of Q2 2026 revenue came from commercial customers. IonQ also reports about 60% commercial revenue.

    From the headline numbers, one might conclude

    “Sixty percent of revenue comes from private companies using quantum computers in production.”

    But reading it that way today is almost certainly misleading.

    “Commercial customer” simply denotes a non-government, non-research institutional customer.

    Such a customer may be:

    • evaluating a quantum computer’s performance
    • running a proof of concept (PoC)
    • conducting joint research
    • developing algorithms to prepare for the future
    • experimentally using quantum computers on the cloud
    • purchasing quantum sensing or communications products rather than quantum compute

    Any of these activities can qualify a firm as a commercial customer.

    That is entirely different from saying a quantum computer is integrated into a company’s daily operational systems and continuously delivering superior economic value over classical methods.

    Current quantum computers still face substantial limitations in performance, error rates, problem size, and cost.

    At present, cases where one can externally verify that quantum computing has demonstrated clear economic advantage over classical computing and that companies are paying recurring fees for that reason are virtually non-existent. Although D-Wave and others have published multiple “production applications,” the degree to which QPUs contribute within quantum-classical hybrid processing or the associated economic superiority over traditional methods has not been made fully transparent.

    Therefore, when companies announce “commercial customers are increasing,”

    it is best not to interpret that as “quantum computers have begun to be commonly used in enterprise production.”

    Having commercial customers is not the same as proving quantum computers’ commercial value.

    Revenue growth is not the same as practical quantum computing

    Quantum companies are already generating revenue.

    But that revenue comprises hardware sales, government contracts, PoCs, joint research, cloud usage, sensing, and communications.

    What quantum companies are earning and whether quantum computers have become a technology that earns money in production are still not the same thing.

    To assess the current state of commercialization, one should look less at headline revenue and more at who is paying, for what, and whether the payments are ongoing.

    Related articles

  • IonQ, Q2 2026 revenue up 287% year over year; raises full-year guidance
  • Infleqtion corrects Q2 2026 revenue to $13.5M; raises full-year outlook
  • Quantinuum Q2 2026 revenue up 279% year over year; announces Helios logical fidelity
  • Rigetti Q2 2026 revenue $5.1M; publishes performance of 108-qubit machine
  • D-Wave Q2 2026 revenue $3.1M; first-half bookings increased more than twelvefold
  • developing algorithms to prepare for the future
  • experimentally using quantum computers on the cloud
  • purchasing quantum sensing or communications products rather than quantum compute
  • Any of these activities can qualify a firm as a commercial customer.

    That is entirely different from saying a quantum computer is integrated into a company’s daily operational systems and continuously delivering superior economic value over classical methods.

    Current quantum computers still face substantial limitations in performance, error rates, problem size, and cost.

    At present, cases where one can externally verify that quantum computing has demonstrated clear economic advantage over classical computing and that companies are paying recurring fees for that reason are virtually non-existent. Although D-Wave and others have published multiple “production applications,” the degree to which QPUs contribute within quantum-classical hybrid processing or the associated economic superiority over traditional methods has not been made fully transparent.

    Therefore, when companies announce “commercial customers are increasing,”

    it is best not to interpret that as “quantum computers have begun to be commonly used in enterprise production.”

    Having commercial customers is not the same as proving quantum computers’ commercial value.

    Revenue growth is not the same as practical quantum computing

    Quantum companies are already generating revenue.

    But that revenue comprises hardware sales, government contracts, PoCs, joint research, cloud usage, sensing, and communications.

    What quantum companies are earning and whether quantum computers have become a technology that earns money in production are still not the same thing.

    To assess the current state of commercialization, one should look less at headline revenue and more at who is paying, for what, and whether the payments are ongoing.

    Related articles

  • conducting joint research
  • developing algorithms to prepare for the future
  • experimentally using quantum computers on the cloud
  • purchasing quantum sensing or communications products rather than quantum compute
  • Any of these activities can qualify a firm as a commercial customer.

    That is entirely different from saying a quantum computer is integrated into a company’s daily operational systems and continuously delivering superior economic value over classical methods.

    Current quantum computers still face substantial limitations in performance, error rates, problem size, and cost.

    At present, cases where one can externally verify that quantum computing has demonstrated clear economic advantage over classical computing and that companies are paying recurring fees for that reason are virtually non-existent. Although D-Wave and others have published multiple “production applications,” the degree to which QPUs contribute within quantum-classical hybrid processing or the associated economic superiority over traditional methods has not been made fully transparent.

    Therefore, when companies announce “commercial customers are increasing,”

    it is best not to interpret that as “quantum computers have begun to be commonly used in enterprise production.”

    Having commercial customers is not the same as proving quantum computers’ commercial value.

    Revenue growth is not the same as practical quantum computing

    Quantum companies are already generating revenue.

    But that revenue comprises hardware sales, government contracts, PoCs, joint research, cloud usage, sensing, and communications.

    What quantum companies are earning and whether quantum computers have become a technology that earns money in production are still not the same thing.

    To assess the current state of commercialization, one should look less at headline revenue and more at who is paying, for what, and whether the payments are ongoing.

    Related articles

  • running a proof of concept (PoC)
  • conducting joint research
  • developing algorithms to prepare for the future
  • experimentally using quantum computers on the cloud
  • purchasing quantum sensing or communications products rather than quantum compute
  • Any of these activities can qualify a firm as a commercial customer.

    That is entirely different from saying a quantum computer is integrated into a company’s daily operational systems and continuously delivering superior economic value over classical methods.

    Current quantum computers still face substantial limitations in performance, error rates, problem size, and cost.

    At present, cases where one can externally verify that quantum computing has demonstrated clear economic advantage over classical computing and that companies are paying recurring fees for that reason are virtually non-existent. Although D-Wave and others have published multiple “production applications,” the degree to which QPUs contribute within quantum-classical hybrid processing or the associated economic superiority over traditional methods has not been made fully transparent.

    Therefore, when companies announce “commercial customers are increasing,”

    it is best not to interpret that as “quantum computers have begun to be commonly used in enterprise production.”

    Having commercial customers is not the same as proving quantum computers’ commercial value.

    Revenue growth is not the same as practical quantum computing

    Quantum companies are already generating revenue.

    But that revenue comprises hardware sales, government contracts, PoCs, joint research, cloud usage, sensing, and communications.

    What quantum companies are earning and whether quantum computers have become a technology that earns money in production are still not the same thing.

    To assess the current state of commercialization, one should look less at headline revenue and more at who is paying, for what, and whether the payments are ongoing.

    Related articles

  • evaluating a quantum computer’s performance
  • running a proof of concept (PoC)
  • conducting joint research
  • developing algorithms to prepare for the future
  • experimentally using quantum computers on the cloud
  • purchasing quantum sensing or communications products rather than quantum compute
  • Any of these activities can qualify a firm as a commercial customer.

    That is entirely different from saying a quantum computer is integrated into a company’s daily operational systems and continuously delivering superior economic value over classical methods.

    Current quantum computers still face substantial limitations in performance, error rates, problem size, and cost.

    At present, cases where one can externally verify that quantum computing has demonstrated clear economic advantage over classical computing and that companies are paying recurring fees for that reason are virtually non-existent. Although D-Wave and others have published multiple “production applications,” the degree to which QPUs contribute within quantum-classical hybrid processing or the associated economic superiority over traditional methods has not been made fully transparent.

    Therefore, when companies announce “commercial customers are increasing,”

    it is best not to interpret that as “quantum computers have begun to be commonly used in enterprise production.”

    Having commercial customers is not the same as proving quantum computers’ commercial value.

    Revenue growth is not the same as practical quantum computing

    Quantum companies are already generating revenue.

    But that revenue comprises hardware sales, government contracts, PoCs, joint research, cloud usage, sensing, and communications.

    What quantum companies are earning and whether quantum computers have become a technology that earns money in production are still not the same thing.

    To assess the current state of commercialization, one should look less at headline revenue and more at who is paying, for what, and whether the payments are ongoing.

    Related articles

    • evaluating a quantum computer’s performance
    • running a proof of concept (PoC)
    • conducting joint research
    • developing algorithms to prepare for the future
    • experimentally using quantum computers on the cloud
    • purchasing quantum sensing or communications products rather than quantum compute

    Any of these activities can qualify a firm as a commercial customer.

    That is entirely different from saying a quantum computer is integrated into a company’s daily operational systems and continuously delivering superior economic value over classical methods.

    Current quantum computers still face substantial limitations in performance, error rates, problem size, and cost.

    At present, cases where one can externally verify that quantum computing has demonstrated clear economic advantage over classical computing and that companies are paying recurring fees for that reason are virtually non-existent. Although D-Wave and others have published multiple “production applications,” the degree to which QPUs contribute within quantum-classical hybrid processing or the associated economic superiority over traditional methods has not been made fully transparent.

    Therefore, when companies announce “commercial customers are increasing,”

    it is best not to interpret that as “quantum computers have begun to be commonly used in enterprise production.”

    Having commercial customers is not the same as proving quantum computers’ commercial value.

    Revenue growth is not the same as practical quantum computing

    Quantum companies are already generating revenue.

    But that revenue comprises hardware sales, government contracts, PoCs, joint research, cloud usage, sensing, and communications.

    What quantum companies are earning and whether quantum computers have become a technology that earns money in production are still not the same thing.

    To assess the current state of commercialization, one should look less at headline revenue and more at who is paying, for what, and whether the payments are ongoing.

    Related articles

    • evaluating a quantum computer’s performance
    • running a proof of concept (PoC)
    • conducting joint research
    • developing algorithms to prepare for the future
    • experimentally using quantum computers on the cloud
    • purchasing quantum sensing or communications products rather than quantum compute

    Any of these activities can qualify a firm as a commercial customer.

    That is entirely different from saying a quantum computer is integrated into a company’s daily operational systems and continuously delivering superior economic value over classical methods.

    Current quantum computers still face substantial limitations in performance, error rates, problem size, and cost.

    At present, cases where one can externally verify that quantum computing has demonstrated clear economic advantage over classical computing and that companies are paying recurring fees for that reason are virtually non-existent. Although D-Wave and others have published multiple “production applications,” the degree to which QPUs contribute within quantum-classical hybrid processing or the associated economic superiority over traditional methods has not been made fully transparent.

    Therefore, when companies announce “commercial customers are increasing,”

    it is best not to interpret that as “quantum computers have begun to be commonly used in enterprise production.”

    Having commercial customers is not the same as proving quantum computers’ commercial value.

    Revenue growth is not the same as practical quantum computing

    Quantum companies are already generating revenue.

    But that revenue comprises hardware sales, government contracts, PoCs, joint research, cloud usage, sensing, and communications.

    What quantum companies are earning and whether quantum computers have become a technology that earns money in production are still not the same thing.

    To assess the current state of commercialization, one should look less at headline revenue and more at who is paying, for what, and whether the payments are ongoing.

    Related articles

    Quantum companies’ revenues have started to rise.

    In Q2 2026, IonQ reported $80.10 million (about ¥12.7 billion), Infleqtion reported $13.50 million (about ¥2.1 billion), Quantinuum reported $8.00 million (about ¥1.27 billion), Rigetti Computing reported $5.10 million (about ¥810 million), and D-Wave Quantum reported $3.10 million (about ¥490 million) in revenue.

    IonQ grew 287% year over year, Quantinuum 279%, and Infleqtion 157%. Looking at the raw numbers, it can appear that the quantum-computing market is rapidly commercializing and monetizing.

    However, what exactly are quantum companies selling to generate these revenues?

    Is it quantum compute time? Physical hardware? Government R&D contracts? Quantum sensing or communications?

    Tracing the current revenue structures of major quantum firms shows that the phrase “commercialization of the quantum market” often contains very different realities than the commonly imagined ‘‘commercialization of quantum computers’’.

    *Currency conversions are approximate, using an exchange rate of $1 ≈ ¥159 as of August 20, 2026.

    IonQ — the $12.7 billion quarter is not purely “quantum compute fees”

    IonQ stands out in Q2 2026.

    Revenue was $80.10 million (about ¥12.7 billion), roughly four times year-over-year and far above other pure-play quantum companies.

    However, it would be inaccurate to interpret this number as “IonQ’s quantum computers were used for about ¥12.7 billion worth of compute.”

    IonQ is no longer a company that only does quantum computing.

    Through successive acquisitions, the company has expanded into quantum networking, quantum security, sensing, photonics, and space-related technologies.

    For Q2 the company said roughly 25% of revenue came from customers using multiple product categories. About 60% of revenue was classified as “commercial,” but the scope of that commercial business has broadened significantly compared with the past.

    The company attributes revenue growth to Tempo quantum computer deployments and cloud usage, as well as demand across its broader “quantum platform.”

    In other words, IonQ’s current revenue should be viewed as

    quantum computing + quantum networking + security + sensing + other quantum-related businesses

    combined.

    While revenue is clearly growing rapidly, that growth alone no longer lets you infer the commercial demand for quantum computers themselves.

    Infleqtion — all quantum, but government contracts remain central

    Infleqtion is also interesting.

    Q2 2026 revenue was $13.50 million (about ¥2.1 billion), a 157% year-over-year increase. The company emphasized that this revenue was “100% organic and entirely from quantum.”

    Unlike IonQ, its growth is not being boosted by acquired non-quantum businesses.

    But “entirely quantum” is not the same as “revenue from commercial use of quantum computers.”

    Infleqtion develops the neutral-atom quantum computer “Sqale,” but it also has significant business lines in atomic clocks and quantum sensing.

    Moreover, government contracts play a large role in the company’s revenue. For example, Infleqtion has a $20 million (about ¥3.18 billion) contract with NASA to develop a spaceborne quantum gravity gradiometer. In Q1 2026 that NASA contract alone increased year-over-year revenue by about $4.0 million (about ¥640 million). The company has also derived revenue from the U.S. Department of Defense, the U.S. Army, the European Space Agency, and Japanese government projects.

    Infleqtion’s revenue is certainly “quantum,” but it includes

    quantum computing, quantum sensing, atomic clocks, and government R&D

    all together.

    Again, revenue from a quantum company should be distinguished from revenue specifically generated by commercial use of quantum computers.

    D-Wave — selling a single machine can change the financials

    D-Wave is one of the clearest examples of the current market structure.

    Q2 2026 revenue was $3.10 million (about ¥490 million), roughly flat year-over-year.

    However, first-half 2025 revenue was $18.10 million (about ¥2.88 billion), while first-half 2026 revenue was $5.90 million (about ¥940 million) — a 67% decline.

    The reason is simple: in the first half of 2025 D-Wave recorded a $13.70 million (about ¥2.18 billion) sale of a quantum computer. Selling one large quantum machine can materially swing annual or quarterly revenue for today’s quantum companies.

    D-Wave also offers a cloud service, Leap, as Quantum Computing as a Service (QCaaS).

    Of Leap’s QCaaS revenue in H1 2026, $1.30 million (about ¥210 million) was classified by D-Wave as revenue from “production applications,” representing 37.3% of total QCaaS revenue. In the prior-year period that figure was $0.30 million (about ¥48 million), or 9.8%.

    On the surface, those numbers suggest that production use of quantum computers is expanding. But this interpretation requires caution.

    Leap provides both direct QPU access and quantum-classical hybrid solvers. The internal workings of the latter are a black box to users: external observers cannot verify whether a QPU was actually used for a given calculation, or to what extent a QPU contributed to the result.

    What these figures do indicate is that D-Wave’s optimization services classified as “production” are being used. They do not definitively quantify the commercial value of the QPU itself.

    D-Wave’s current revenue model combines

    hardware sales + cloud usage + professional services

    with multiple models coexisting.

    Particularly, QCaaS “production” revenue should be read separately from metrics that would directly prove the QPU’s commercial usage.

    Rigetti — selling QPUs as well as offering cloud access

    Rigetti has also broadened how it generates revenue in recent years.

    Q2 2026 revenue was $5.10 million (about ¥810 million). The company attributes revenue growth to sales of the nine-qubit Novera quantum computing system and related products.

    Historically Rigetti provided quantum computing through its cloud QCS and via platforms such as Amazon Braket and Microsoft Azure Quantum.

    More recently, however, sales of QPUs and on-premises quantum systems directly to universities, research institutions, and HPC centers have become notable.

    For example, in Q1 2026 Rigetti sold and shipped a Novera QPU to the University of Saskatchewan in Canada. It is also delivering systems to India’s C-DAC and the Pittsburgh Supercomputing Center.

    What customers are buying in these cases is less a service that accelerates existing business processes and more research equipment to study and validate quantum computers themselves.

    More hardware sales will raise revenue, but that should not automatically be interpreted as equivalent to widespread industrial demand for quantum computation.

    Quantinuum — continuous cloud access as a different model

    Quantinuum presents a somewhat different case.

    Q2 2026 revenue was $8.00 million (about ¥1.27 billion), a 279% year-over-year increase.

    Notably, Quantinuum cites cloud business as the primary driver of its revenue growth.

    Unlike hardware sales or government contracts, cloud usage can build recurring revenue as long as customers keep using it. However, increased cloud usage does not necessarily mean those computations are generating economic value in customers’ production workflows — research, evaluation, and algorithm development are included.

    Still, how far a model that sells continued access to quantum compute capacity rather than the machines themselves can scale will be an important indicator of commercialization in the quantum industry.

    The same “revenue” can mean very different things

    Summarizing so far, current quantum-company revenue falls into at least the following categories.

    Type of revenueTypical examplesCharacteristics
    Sales of quantum computer hardwareD-Wave, RigettiSingle sales can be large, but revenue timing is project-dependent
    Cloud compute usageQuantinuum, D-Wave, IonQ, RigettiCan become recurring/stock-like if usage is sustained
    Government and R&D contractsInfleqtion, etc.A major source of demand in today’s quantum industry
    Quantum sensing and communicationsIonQ, InfleqtionMarkets outside quantum computing
    Professional services and joint researchVarious firmsPoCs, algorithm development, deployment support, etc.

    On the books, these are all simply revenue.

    But their implications for the industry’s maturity are quite different.

    For example, if a research institution buys a $20 million (about ¥3.18 billion) quantum computer, the manufacturer records about ¥3.18 billion in revenue.

    However, that does not necessarily mean that

    “the quantum computer was purchased because using it will generate more than ¥3.18 billion in economic value”

    It might have been bought as research equipment.

    It might be for national strategy reasons, to maintain domestic quantum computing capability.

    Or it might be an R&D investment to prepare for the future.

    Conversely, if a company pays monthly for quantum compute services and continuously reduces logistics or production costs as a result, the same revenue figure has a very different meaning.

    “Commercial customer” does not mean “a company using quantum computers in production”

    This point deserves special attention when assessing the current quantum industry.

    Quantum companies often report revenue from “commercial customers” or “commercial revenue.”

    D-Wave said 62.4% of Q2 2026 revenue came from commercial customers. IonQ also reports about 60% commercial revenue.

    From the headline numbers, one might conclude

    “Sixty percent of revenue comes from private companies using quantum computers in production.”

    But reading it that way today is almost certainly misleading.

    “Commercial customer” simply denotes a non-government, non-research institutional customer.

    Such a customer may be:

    • evaluating a quantum computer’s performance
    • running a proof of concept (PoC)
    • conducting joint research
    • developing algorithms to prepare for the future
    • experimentally using quantum computers on the cloud
    • purchasing quantum sensing or communications products rather than quantum compute

    Any of these activities can qualify a firm as a commercial customer.

    That is entirely different from saying a quantum computer is integrated into a company’s daily operational systems and continuously delivering superior economic value over classical methods.

    Current quantum computers still face substantial limitations in performance, error rates, problem size, and cost.

    At present, cases where one can externally verify that quantum computing has demonstrated clear economic advantage over classical computing and that companies are paying recurring fees for that reason are virtually non-existent. Although D-Wave and others have published multiple “production applications,” the degree to which QPUs contribute within quantum-classical hybrid processing or the associated economic superiority over traditional methods has not been made fully transparent.

    Therefore, when companies announce “commercial customers are increasing,”

    it is best not to interpret that as “quantum computers have begun to be commonly used in enterprise production.”

    Having commercial customers is not the same as proving quantum computers’ commercial value.

    Revenue growth is not the same as practical quantum computing

    Quantum companies are already generating revenue.

    But that revenue comprises hardware sales, government contracts, PoCs, joint research, cloud usage, sensing, and communications.

    What quantum companies are earning and whether quantum computers have become a technology that earns money in production are still not the same thing.

    To assess the current state of commercialization, one should look less at headline revenue and more at who is paying, for what, and whether the payments are ongoing.

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