IBM launches 120‑qubit Nighthawk r2 with over 100,000 circuit runs/sec, up to 25× Heron throughput

【Article Title】 IBM launches 120‑qubit Nighthawk r2 with over 100,000 circuit runs/sec, up to 25× Heron throughput 【Article Body】 AI TRANSLATION This article is an AI-generated translation of the original Japanese article. For the authoritative version, please refer to the original. Read the original Japanese article → (https://quantumindex.jp/ibm-quantum-nighthawk-r2-high-speed-reset/) IBM has begun offering the quantum processorquantum processorQuantum 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. IBM Quantum Nighthawk r2, which features 120 programmable qubitsqubitsQubit / 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., on the IBM Quantum Platform. With independent fast reset mechanisms, IBM says the device achieves more than 100,000 circuit executions per second—up to 25× the IBM Quantum Heron throughputthroughputThroughput / ThroughputA metric indicating the amount of work that can be processed per unit time. In quantum computing, it represents how quickly circuits or jobs can be repeatedly executed, among other things.QI NoteThe definition and units of throughput vary between companies and systems. When comparing, check not only the raw number of executions but also conditions such as circuit size, accuracy, and wait times.. ✍️ Quantum Index Analysis The section explains the technical and business significance behind the announcement and highlights evaluation points that numbers and headlines alone may not reveal. Read our independent analysis ↓ Announcement overview Nighthawk r2 is built with 120 programmable qubits, 218 dedicated couplers, and 120 independent reset elements, for a total of 458 physical quantum elements. It adopts a dissipative reset mechanism that connects each qubit to the cold environment, shortening the effective T1 median from roughly 200 microseconds to about 25 nanoseconds. This reduces idle time between circuit executions to as little as 1 microsecond, enabling a throughput of over 100,000 runs per second compared with Heron’s roughly 4,000 runs per second. Active reset reduces initialization errors to roughly one‑twenty‑fifth while maintaining Heron‑class gate fidelitygate fidelityGate Fidelity / Gate Fidelity / Quantum Gate FidelityA measure of accuracy that indicates how closely a quantum gate operation was performed compared to the ideal operation.QI NoteHigher is generally better, but values depend on the measurement method and differ between single-qubit and two-qubit gates. When comparing, also check the evaluation conditions., and enables individual resets that do not degrade neighboring qubit performance. In initial tests using quantum advantagequantum advantage量子優位性 / Quantum Advantage / Quantum Computational AdvantageFor a particular problem, a quantum computer demonstrates a practical advantage over classical computation in terms of speed, accuracy, cost, etc.QI NoteNot necessarily synonymous with "quantum supremacy"; the term is often used to include practical usefulness. When evaluating claims, check the classical methods used for comparison and the evaluation metrics. candidate circuits, IBM reports up to a 10× speedup while maintaining accuracy, and a 12× acceleration in a neutron scattering simulation. IBM also says it demonstrated estimation of observables on a circuit containing 7,500 gates using probabilistic error amplification. Fast reset can be used mid‑circuit, allowing ancilla qubits to be reused in dynamic circuits and quantum error detection/correction experiments. Key points • IBM says the device executes over 100,000 circuits per second, achieving up to 25× the throughput compared with Heron. • It includes 120 qubits plus 218 dedicated couplers and 120 independent reset elements. • Active reset reduces initialization errors to about one‑twenty‑fifth while maintaining Heron‑class gate fidelity. • Demonstrated observable estimation on a circuit containing 7,500 gates using probabilistic error amplification. • Supports mid‑circuit individual resets, enabling dynamic circuits and quantum error detection/correction research. Technical and commercial significance The main technical significance of independent fast reset is that it reduces the time spent waiting for qubits to relax naturally, thereby increasing the number of circuits that can be executed within limited machine time. Because it supports mid‑circuit measurement and reset, it also improves experimental efficiency for quantum error detection/correction schemes that reuse ancilla qubits and for dynamic quantum/classical workflows. On the commercial side, offering Nighthawk r2 on the IBM Quantum Platform means researchers can now evaluate its performance on real hardware. The announcement does not specify pricing, regions of availability, usage quotas, or the impact on commercial applications and revenue. Points to watch Key questions going forward include whether IBM’s claimed up to 25× throughput holds for practical workloads with different circuit sizes and execution conditions. It will also be important to see how much mid‑circuit reset improves accuracy and processing time in quantum error correctionquantum error correction量子誤り訂正 / Quantum Error Correction / QECA technique that distributes information across multiple physical qubits and detects and corrects errors without directly disturbing the quantum state.QI NoteSimply implementing it does not automatically provide practical fault tolerance. What matters is whether the logical error rate is improved relative to the physical error rate. experiments. Additional evaluation factors include the detailed conditions for the 7,500‑gate results, third‑party comparisons, and whether IBM provides usage quotas and pricing information on the Platform. ✍️ Quantum Index Analysis The notable point in this announcement is not the 120‑qubitqubitQubit / 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. scale itself, but that IBM has focused on execution performance—how quickly the quantum processorquantum processorQuantum 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. can be reused. Nighthawk r2 shortens the time waiting for qubit relaxation through independent fast reset mechanisms and reports more than 100,000 circuit executions per second compared with Heron’s roughly 4,000 per second. Although not as flashy as qubit counts or gate fidelitygate fidelityGate Fidelity / Gate Fidelity / Quantum Gate FidelityA measure of accuracy that indicates how closely a quantum gate operation was performed compared to the ideal operation.QI NoteHigher is generally better, but values depend on the measurement method and differ between single-qubit and two-qubit gates. When comparing, also check the evaluation conditions., this improvement is important for using real hardware as a compute resource. Looking at the evolution of IBM’s quantum hardware shows a shift in evaluation criteria. Since releasing a 5‑qubit machine on the cloud in 2016, early focuses were scaling qubit counts, cloud operation, and manufacturing large chips. Through generations like Falcon, Hummingbird, Eagle, Osprey and Condor, IBM reached the 1,121‑qubit Condor in 2023. More recent Heron and Nighthawk generations have shifted emphasis from raw qubit counts to gate quality, connectivity, feasible circuit size, and throughputthroughputThroughput / ThroughputA metric indicating the amount of work that can be processed per unit time. In quantum computing, it represents how quickly circuits or jobs can be repeatedly executed, among other things.QI NoteThe definition and units of throughput vary between companies and systems. When comparing, check not only the raw number of executions but also conditions such as circuit size, accuracy, and wait times.. PeriodHardwarePhysical qubitsPhysical qubitsPhysical Qubit / Physical QubitIndividual qubits that are physically created and manipulated on a quantum processor. They are also used to form logical qubits.QI NoteA large number of physical qubits does not by itself indicate practical computational capability. Error rates, connectivity, and the number of physical qubits required per logical qubit are also important.Main positioning2016★ First IBM Quantum Experience5The first cloud‑accessible machine. Built an environment for external users to access real hardware2016–Canary5–16Early small processors. Established the basics of cloud usage and device operations201720‑qubit IBM Q20Early commercial access. Advanced scaling and stable operation201750‑qubit prototype50Validated scale‑up to the 50‑qubit class201953‑qubit system53One of IBM’s largest at the time. Advanced cloud operation of large systems2019–★ Falcon27Established the heavy‑hex architecture. Foundation for subsequent IBM processor designs2020–★ Hummingbirdup to 65Introduced readout multiplexing and wiring techniques to improve control for larger chips2021★ Eagle127IBM’s first >100‑qubit device. Used multilayer wiring and packaging techniquesAround 2022Egret33Tested element technologies such as tunable couplers that led to later high‑performance generations2022★ Osprey433Further advanced single‑chip scaling2023★ Condor1,121IBM’s first >1,000‑qubit device. Validated manufacturing, wiring, and integration for large chips2023★ Heron r1133Adopted tunable couplers in earnest. Shifted focus from qubit counts to gate quality and crosstalk reduction2024Heron r2156Improved coherence and stability for larger circuit execution2025Heron r3156Improved manufacturing processes to raise gate fidelity and readout performance2025★ Nighthawk r1120Shifted to a square lattice to prioritize connectivity and complex circuit execution2026★ Nighthawk r2120Added independent fast resets and reports over 100,000 circuits/sec throughput ※ ★ indicates major generations that marked shifts in design philosophy or scaling strategy in IBM’s quantum hardware development. While Canary, Egret, and Heron revisions are also technically important, stars mark representative generations for understanding IBM’s hardware direction. Note that physical qubit count is only one metric of processor scale; comparing performance between generations also requires examining gate fidelity, connectivity, circuit depthcircuit depthCircuit Depth / Circuit Depth / Quantum Circuit DepthIn a quantum circuit, a metric that—after grouping together operations that can be executed simultaneously—indicates how many sequential layers (stages) of gate operations are required to complete the computation.QI NoteIn general, deeper circuits are more susceptible to noise, but performance is not determined by depth alone. Gate types, error rates, connectivity, and the circuit after compilation must also be considered., and execution throughput. Notably, after the 1,121‑qubit Condor, the 133‑qubit Heron emerged as the main generation. This is not a simple step back. Up through Condor, development focused on how far superconducting quantum processors could be scaled and integrated in manufacturing, wiring, cooling, and control. With Heron, IBM reduced qubit counts while improving gate quality and crosstalk by adopting tunable couplers, shifting the design philosophy toward running more complex circuits in practice. With Nighthawk, that direction has become even clearer. The architecture moved from the heavy‑hex structure used in Heron to a square lattice to increase qubit connectivity, reducing the extra gates needed to move information between qubits and making it easier to form more complex circuits. Although the raw qubit count decreased from Heron’s 156 to Nighthawk’s 120, it is not appropriate to view that solely as a performance regression. IBM has entered a stage where it prioritizes not just how many qubits are on a chip, but how deep, fast, and stably circuits can be executed on those qubits. Nighthawk r2’s fast reset is a continuation of this trend. Quantum computation requires repeating the same circuit many times to obtain statistics, and error‑mitigation techniques can further increase the number of runs. Even if the computational circuit itself is short, if one must wait for qubits to return to the ground state naturally each time, the overall throughput drops. Nighthawk r2 aims to increase the number of circuits that can be processed during limited machine time by cutting that wait time in hardware. In that sense, the direction of improving throughput to more than 100,000 runs per second is positive (definitions of throughput vary). A quantum computer’s performance metrics are not limited to qubit count or single‑gate fidelity. Ultimately, what matters is how much computation of a given scale and accuracy can be completed within a fixed time. IBM’s recent shift toward metrics related to practical usability—connectivity, circuit scale, and execution speed—is an important sign of hardware maturation. Interpreting the “up to 25× Heron” figure as a blanket 25× increase in overall quantum computing performance would be misleading. The comparison is about how frequently circuits can be repeated, which differs from end‑to‑end algorithm runtime. Including circuit length, gate count, measurements, classical processing, data transfer, and error‑mitigation means the end‑to‑end speedup can differ. Indeed, IBM’s reported improvements were up to 10× for quantum‑advantage candidate circuits and 12× for a neutron scattering simulation; the 25× throughput claim does not directly translate to 25× application performance. At the same time, fast reset is not only for running many shots faster. Being able to measure qubits mid‑circuit, reinitialize them, and reuse them is important for dynamic circuits and quantum error correctionquantum error correction量子誤り訂正 / Quantum Error Correction / QECA technique that distributes information across multiple physical qubits and detects and corrects errors without directly disturbing the quantum state.QI NoteSimply implementing it does not automatically provide practical fault tolerance. What matters is whether the logical error rate is improved relative to the physical error rate.. Error correction in particular requires repeated measurement and reset of ancilla qubits to gather error information, so reset speed and initialization accuracy can affect overall error‑correction cycle performance. Implementing individual fast resets while reducing initialization errors is therefore meaningful as a technology toward future fault‑tolerant quantum computing. What will determine the value of Nighthawk r2 going forward is not the raw figure of 100,000 runs per second but how much that speedup shortens actual processing times for long circuits, error mitigation, dynamic circuits, and quantum error correction. It will also be important to confirm whether external users on the Quantum Platform can reproduce IBM’s results, whether fast reset enables previously infeasible computations due to runtime constraints, and whether improvements appear as reductions in logical error rates or cycle times in error‑correction experiments. NETWORKSee the industry network surrounding IBM → (/qi-network/) Related articles • Ranking of 29 quantum computing companies: capabilities and prospects (Summer 2026) (https://en.quantumindex.jp/top-29-quantum-companies-ranking-summer-2026/) • Alice & Bob announces on‑premises 18‑cat qubit quantum system “Helium” (https://en.quantumindex.jp/alice-bob-helium-quantum-system/) • Microsoft unveils topological quantum processor “Majorana 2”; qubit lifetimes average 20 seconds (https://en.quantumindex.jp/microsoft-majorana-2-topological-quantum-processor/) Source Read the original announcement (https://www.ibm.com/quantum/blog/nighthawk-r2) If you found this article useful, please consider sharing it. ──────────────────── 【AI Evaluation Request】 Evaluate the following article critically, not based on the quality of its writing, but on its **original informational value as a specialist publication**. Do not give a high rating to summaries, paraphrases, explanations of technical terms, or generic observations such as "this will be worth watching" or "the timeline remains uncertain" if they could easily be produced by a general-purpose generative AI, even if they are well written. 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IBM has begun offering the quantum processorquantum processorQuantum 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. IBM Quantum Nighthawk r2, which features 120 programmable qubitsqubitsQubit / 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., on the IBM Quantum Platform. With independent fast reset mechanisms, IBM says the device achieves more than 100,000 circuit executions per second—up to 25× the IBM Quantum Heron throughputthroughputThroughput / ThroughputA metric indicating the amount of work that can be processed per unit time. In quantum computing, it represents how quickly circuits or jobs can be repeatedly executed, among other things.QI NoteThe definition and units of throughput vary between companies and systems. When comparing, check not only the raw number of executions but also conditions such as circuit size, accuracy, and wait times..

Announcement overview

Nighthawk r2 is built with 120 programmable qubits, 218 dedicated couplers, and 120 independent reset elements, for a total of 458 physical quantum elements. It adopts a dissipative reset mechanism that connects each qubit to the cold environment, shortening the effective T1 median from roughly 200 microseconds to about 25 nanoseconds. This reduces idle time between circuit executions to as little as 1 microsecond, enabling a throughput of over 100,000 runs per second compared with Heron’s roughly 4,000 runs per second. Active reset reduces initialization errors to roughly one‑twenty‑fifth while maintaining Heron‑class gate fidelitygate fidelityGate Fidelity / Gate Fidelity / Quantum Gate FidelityA measure of accuracy that indicates how closely a quantum gate operation was performed compared to the ideal operation.QI NoteHigher is generally better, but values depend on the measurement method and differ between single-qubit and two-qubit gates. When comparing, also check the evaluation conditions., and enables individual resets that do not degrade neighboring qubit performance. In initial tests using quantum advantagequantum advantage量子優位性 / Quantum Advantage / Quantum Computational AdvantageFor a particular problem, a quantum computer demonstrates a practical advantage over classical computation in terms of speed, accuracy, cost, etc.QI NoteNot necessarily synonymous with "quantum supremacy"; the term is often used to include practical usefulness. When evaluating claims, check the classical methods used for comparison and the evaluation metrics. candidate circuits, IBM reports up to a 10× speedup while maintaining accuracy, and a 12× acceleration in a neutron scattering simulation. IBM also says it demonstrated estimation of observables on a circuit containing 7,500 gates using probabilistic error amplification. Fast reset can be used mid‑circuit, allowing ancilla qubits to be reused in dynamic circuits and quantum error detection/correction experiments.

Key points

• IBM says the device executes over 100,000 circuits per second, achieving up to 25× the throughput compared with Heron.
• It includes 120 qubits plus 218 dedicated couplers and 120 independent reset elements.
• Active reset reduces initialization errors to about one‑twenty‑fifth while maintaining Heron‑class gate fidelity.
• Demonstrated observable estimation on a circuit containing 7,500 gates using probabilistic error amplification.
• Supports mid‑circuit individual resets, enabling dynamic circuits and quantum error detection/correction research.

Technical and commercial significance

The main technical significance of independent fast reset is that it reduces the time spent waiting for qubits to relax naturally, thereby increasing the number of circuits that can be executed within limited machine time. Because it supports mid‑circuit measurement and reset, it also improves experimental efficiency for quantum error detection/correction schemes that reuse ancilla qubits and for dynamic quantum/classical workflows. On the commercial side, offering Nighthawk r2 on the IBM Quantum Platform means researchers can now evaluate its performance on real hardware. The announcement does not specify pricing, regions of availability, usage quotas, or the impact on commercial applications and revenue.

Points to watch

Key questions going forward include whether IBM’s claimed up to 25× throughput holds for practical workloads with different circuit sizes and execution conditions. It will also be important to see how much mid‑circuit reset improves accuracy and processing time in quantum error correctionquantum error correction量子誤り訂正 / Quantum Error Correction / QECA technique that distributes information across multiple physical qubits and detects and corrects errors without directly disturbing the quantum state.QI NoteSimply implementing it does not automatically provide practical fault tolerance. What matters is whether the logical error rate is improved relative to the physical error rate. experiments. Additional evaluation factors include the detailed conditions for the 7,500‑gate results, third‑party comparisons, and whether IBM provides usage quotas and pricing information on the Platform.

✍️ Quantum Index Analysis

The notable point in this announcement is not the 120‑qubitqubitQubit / 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. scale itself, but that IBM has focused on execution performance—how quickly the quantum processorquantum processorQuantum 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. can be reused. Nighthawk r2 shortens the time waiting for qubit relaxation through independent fast reset mechanisms and reports more than 100,000 circuit executions per second compared with Heron’s roughly 4,000 per second. Although not as flashy as qubit counts or gate fidelitygate fidelityGate Fidelity / Gate Fidelity / Quantum Gate FidelityA measure of accuracy that indicates how closely a quantum gate operation was performed compared to the ideal operation.QI NoteHigher is generally better, but values depend on the measurement method and differ between single-qubit and two-qubit gates. When comparing, also check the evaluation conditions., this improvement is important for using real hardware as a compute resource.

Looking at the evolution of IBM’s quantum hardware shows a shift in evaluation criteria. Since releasing a 5‑qubit machine on the cloud in 2016, early focuses were scaling qubit counts, cloud operation, and manufacturing large chips. Through generations like Falcon, Hummingbird, Eagle, Osprey and Condor, IBM reached the 1,121‑qubit Condor in 2023. More recent Heron and Nighthawk generations have shifted emphasis from raw qubit counts to gate quality, connectivity, feasible circuit size, and throughputthroughputThroughput / ThroughputA metric indicating the amount of work that can be processed per unit time. In quantum computing, it represents how quickly circuits or jobs can be repeatedly executed, among other things.QI NoteThe definition and units of throughput vary between companies and systems. When comparing, check not only the raw number of executions but also conditions such as circuit size, accuracy, and wait times..

Period	Hardware	Physical qubitsPhysical qubitsPhysical Qubit / Physical QubitIndividual qubits that are physically created and manipulated on a quantum processor. They are also used to form logical qubits.QI NoteA large number of physical qubits does not by itself indicate practical computational capability. Error rates, connectivity, and the number of physical qubits required per logical qubit are also important.	Main positioning
2016	★ First IBM Quantum Experience	5	The first cloud‑accessible machine. Built an environment for external users to access real hardware
2016–	Canary	5–16	Early small processors. Established the basics of cloud usage and device operations
2017	20‑qubit IBM Q	20	Early commercial access. Advanced scaling and stable operation
2017	50‑qubit prototype	50	Validated scale‑up to the 50‑qubit class
2019	53‑qubit system	53	One of IBM’s largest at the time. Advanced cloud operation of large systems
2019–	★ Falcon	27	Established the heavy‑hex architecture. Foundation for subsequent IBM processor designs
2020–	★ Hummingbird	up to 65	Introduced readout multiplexing and wiring techniques to improve control for larger chips
2021	★ Eagle	127	IBM’s first >100‑qubit device. Used multilayer wiring and packaging techniques
Around 2022	Egret	33	Tested element technologies such as tunable couplers that led to later high‑performance generations
2022	★ Osprey	433	Further advanced single‑chip scaling
2023	★ Condor	1,121	IBM’s first >1,000‑qubit device. Validated manufacturing, wiring, and integration for large chips
2023	★ Heron r1	133	Adopted tunable couplers in earnest. Shifted focus from qubit counts to gate quality and crosstalk reduction
2024	Heron r2	156	Improved coherence and stability for larger circuit execution
2025	Heron r3	156	Improved manufacturing processes to raise gate fidelity and readout performance
2025	★ Nighthawk r1	120	Shifted to a square lattice to prioritize connectivity and complex circuit execution
2026	★ Nighthawk r2	120	Added independent fast resets and reports over 100,000 circuits/sec throughput

※ ★ indicates major generations that marked shifts in design philosophy or scaling strategy in IBM’s quantum hardware development. While Canary, Egret, and Heron revisions are also technically important, stars mark representative generations for understanding IBM’s hardware direction. Note that physical qubit count is only one metric of processor scale; comparing performance between generations also requires examining gate fidelity, connectivity, circuit depthcircuit depthCircuit Depth / Circuit Depth / Quantum Circuit DepthIn a quantum circuit, a metric that—after grouping together operations that can be executed simultaneously—indicates how many sequential layers (stages) of gate operations are required to complete the computation.QI NoteIn general, deeper circuits are more susceptible to noise, but performance is not determined by depth alone. Gate types, error rates, connectivity, and the circuit after compilation must also be considered., and execution throughput.

Notably, after the 1,121‑qubit Condor, the 133‑qubit Heron emerged as the main generation. This is not a simple step back. Up through Condor, development focused on how far superconducting quantum processors could be scaled and integrated in manufacturing, wiring, cooling, and control. With Heron, IBM reduced qubit counts while improving gate quality and crosstalk by adopting tunable couplers, shifting the design philosophy toward running more complex circuits in practice.

With Nighthawk, that direction has become even clearer. The architecture moved from the heavy‑hex structure used in Heron to a square lattice to increase qubit connectivity, reducing the extra gates needed to move information between qubits and making it easier to form more complex circuits. Although the raw qubit count decreased from Heron’s 156 to Nighthawk’s 120, it is not appropriate to view that solely as a performance regression. IBM has entered a stage where it prioritizes not just how many qubits are on a chip, but how deep, fast, and stably circuits can be executed on those qubits.

Nighthawk r2’s fast reset is a continuation of this trend. Quantum computation requires repeating the same circuit many times to obtain statistics, and error‑mitigation techniques can further increase the number of runs. Even if the computational circuit itself is short, if one must wait for qubits to return to the ground state naturally each time, the overall throughput drops. Nighthawk r2 aims to increase the number of circuits that can be processed during limited machine time by cutting that wait time in hardware.

In that sense, the direction of improving throughput to more than 100,000 runs per second is positive (definitions of throughput vary). A quantum computer’s performance metrics are not limited to qubit count or single‑gate fidelity. Ultimately, what matters is how much computation of a given scale and accuracy can be completed within a fixed time. IBM’s recent shift toward metrics related to practical usability—connectivity, circuit scale, and execution speed—is an important sign of hardware maturation.

Interpreting the “up to 25× Heron” figure as a blanket 25× increase in overall quantum computing performance would be misleading. The comparison is about how frequently circuits can be repeated, which differs from end‑to‑end algorithm runtime. Including circuit length, gate count, measurements, classical processing, data transfer, and error‑mitigation means the end‑to‑end speedup can differ. Indeed, IBM’s reported improvements were up to 10× for quantum‑advantage candidate circuits and 12× for a neutron scattering simulation; the 25× throughput claim does not directly translate to 25× application performance.

At the same time, fast reset is not only for running many shots faster. Being able to measure qubits mid‑circuit, reinitialize them, and reuse them is important for dynamic circuits and quantum error correctionquantum error correction量子誤り訂正 / Quantum Error Correction / QECA technique that distributes information across multiple physical qubits and detects and corrects errors without directly disturbing the quantum state.QI NoteSimply implementing it does not automatically provide practical fault tolerance. What matters is whether the logical error rate is improved relative to the physical error rate.. Error correction in particular requires repeated measurement and reset of ancilla qubits to gather error information, so reset speed and initialization accuracy can affect overall error‑correction cycle performance. Implementing individual fast resets while reducing initialization errors is therefore meaningful as a technology toward future fault‑tolerant quantum computing.

What will determine the value of Nighthawk r2 going forward is not the raw figure of 100,000 runs per second but how much that speedup shortens actual processing times for long circuits, error mitigation, dynamic circuits, and quantum error correction. It will also be important to confirm whether external users on the Quantum Platform can reproduce IBM’s results, whether fast reset enables previously infeasible computations due to runtime constraints, and whether improvements appear as reductions in logical error rates or cycle times in error‑correction experiments.

NETWORKSee the industry network surrounding IBM →

Related articles

• Ranking of 29 quantum computing companies: capabilities and prospects (Summer 2026)
• Alice & Bob announces on‑premises 18‑cat qubit quantum system “Helium”
• Microsoft unveils topological quantum processor “Majorana 2”; qubit lifetimes average 20 seconds

Source

Read the original announcement