IQM to deploy LUMI‑IQ at LUMI AI Factory from 2027, targets up to nine logical qubits by 2029

【Article Title】 IQM to deploy LUMI‑IQ at LUMI AI Factory from 2027, targets up to nine logical qubits by 2029 【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/iqm-lumi-iq-logical-qubits-staged-deployment/) IQM Quantum Computers has announced a three‑stage plan to deploy the quantum computer “LUMI‑IQ” for the LUMI AI Factory starting in 2027. In the final 2029 update, the system is planned to perform computations with up to nine logical qubitslogical qubitsLogical Qubit / Logical QubitA unit of information treated as a single qubit protected from errors by using multiple physical qubits and quantum error correction.QI NoteSimply having “created a logical qubit” does not necessarily mean fault-tolerant quantum computing (FTQC) has been achieved. One should verify logical error rates, operational/gate performance, and scalability. using 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. and to enable operations between logical qubits. ✍️ Quantum Index Analysis We explain the technical and business significance behind the announcement and the evaluation points that are not obvious from the numbers or headlines alone. Read our analysis ↓ Announcement overview LUMI‑IQ will be a quantum computer jointly owned by Finland, the Czech Republic, Norway and Poland, and co‑funded by the EuroHPC Joint Undertaking and the participating countries. It will be installed in the new data center of CSC – IT Center for Science in Kajaani, Finland, and integrated into the LUMI‑AI environment. In phase one, IQM plans to deploy an IQM Halocene H4 with 150 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. in 2027, offering initial quantum error correction capabilities. In 2028 the system will be updated to reduce logical error rates and support real‑time error correction, and in 2029 it is scheduled to be upgraded to the Halocene H5. In the final configuration, fast real‑time feedback is intended to preserve logical qubits and support logical operations including lattice surgery and T‑gate teleportation. Computations using distance‑3 surface or color codes are expected to handle up to nine logical qubits, and encoding support is planned up to surface‑code distance 11 and color‑code distance 9. LUMI‑IQ and LUMI‑AI will form a hybrid platform combining HPC, AI and quantum computing. The system is intended as a research environment that combines conventional simulation, machine learning and quantum algorithms. Key points • IQM plans to install a 150‑physical‑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. IQM Halocene H4 in 2027 to provide initial quantum error correction functionality. • The 2028 update is expected to focus on reducing logical error rates and supporting real‑time error correction. • IQM aims to upgrade to Halocene H5 in 2029 and target computations with up to nine logical qubits. • The final configuration is intended to support logical operations including lattice surgery and T‑gate teleportation. • The system will be installed at CSC’s data center and integrated with LUMI‑AI to build an HPC‑AI‑quantum computing platform. Technical and business implications On the technical side, the staged approach—from deploying physical qubits to implementing real‑time error correction and then enabling operations between logical qubits—is a defining characteristic. Not only is the scale of up to nine logical qubits significant, but the feedback mechanisms that reduce logical error rates and allow sustained logical operations are important steps toward early fault‑tolerant quantum computing. From a business perspective, the deployment model shows a consortium ownership structure with participating organizations jointly owning the system and integrating it continuously into existing HPC and AI environments while applying staged updates. However, the announcement does not include details on deployment costs, specific performance metrics, or demonstrated advantages over existing computational methods for practical applications. Points to watch The first thing to watch is whether the Halocene H4 ships in 2027 as planned and what performance metrics are presented for the 150 physical qubits and the initial error correction features. Subsequent updates should demonstrate the actual reduction in logical error rates and the robustness of real‑time error correction, and in 2029 it will be critical to see whether logical operations can be run across multiple logical qubits and what logical error rates are achieved. After integration with LUMI‑AI, published use cases that combine HPC, AI and quantum computing—and comparisons with conventional methods—will also be important evaluation material. ✍️ Quantum Index Analysis The important point in this announcement is not the headline number “up to nine logical qubitslogical qubitsLogical Qubit / Logical QubitA unit of information treated as a single qubit protected from errors by using multiple physical qubits and quantum error correction.QI NoteSimply having “created a logical qubit” does not necessarily mean fault-tolerant quantum computing (FTQC) has been achieved. One should verify logical error rates, operational/gate performance, and scalability.” itself, but that IQM appears to be shifting its development axis from simply increasing the number of 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. to operating logical qubits based on 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.. To date, IQM has deployed gate‑based quantum computers that expose physical qubits directly, including the 5‑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. Spark, the 20‑qubit Garnet and the 54‑qubit Radiance. Spark was announced in 2023 for universities and research institutions, and Garnet reported, for its 20‑qubit QPUQPUQuantum 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., a median two‑qubit 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. of 99.5%. The Radiance 54 is also being pursued for integration with systems such as Italy’s CINECA supercomputer Leonardo. YearMain systemQubit scalePositioning2021System for VTT5 physical qubitsIntroduced as Finland’s first quantum computerFrom 2023IQM Spark5 physical qubitsOn‑premises machines for universities and research institutionsFrom 2024IQM Garnet20 physical qubitsValidate gate performance and system performance at the 20‑qubit scaleFrom 2025IQM Radiance 5454 physical qubitsLarge‑scale on‑premises machines including for HPC centersFrom 2026IQM Halocene~150 physical qubitsTransition to a product line oriented toward error correctionPlanned 2027LUMI‑IQ / Halocene H4150 physical qubitsInitial quantum error correctionPlanned 2028LUMI‑IQ update—Reduce logical error rates; real‑time error correctionPlanned 2029Halocene H5Up to 9 logical qubitsEarly fault‑tolerant computations including operations between logical qubits It is important not to read the sequence “5→20→54→150→9” as a simple increase or decrease in qubit counts. The earlier figures are primarily physical qubit counts, while the 2029 figure of nine qubits refers to logical qubits formed by grouping multiple physical qubits with error‑correcting codes—the evaluation axis is different. IQM itself positions Halocene as a shift from the NISQNISQNoisy Intermediate-Scale Quantum / NISQA term for quantum devices of roughly tens to thousands of qubits that include noise and do not have sufficient error correction, or for the technological stage they represent.QI NoteIt is not a classification defined by a strict qubit count. Because it broadly refers to devices prior to FTQC, one needs to examine specific error rates and the circuits that can be executed.‑focused Radiance line toward a product line oriented to quantum error correction. For the initial 150‑qubit variant, IQM targets 99.7% two‑qubit gate fidelity and envisions research use with up to five logical qubits. Note that these are target values. LUMI‑IQ follows that trajectory: a 2027 Halocene H4, a 2028 update introducing real‑time error correction, and a 2029 H5. In its final configuration, using distance‑3 surface or color codes it plans to run with up to nine logical qubits and support logical operations including lattice surgery and T‑gate teleportation. This road map implies not only producing logical qubits but advancing to the stage of composing computations from those logical qubits. However, neither the 150 physical qubits nor the up to nine logical qubits are currently demonstrated performance levels for LUMI‑IQ. The critical questions are whether increasing code distance will actually yield logical error rates lower than physical error rates, how well logical states can be maintained under repeated error correction, and what fidelity can be achieved for logical gates. The announcement does not provide concrete logical error rates or logical‑gate fidelities. Therefore, future evaluation of LUMI‑IQ should not focus solely on the increase in physical qubit count. You should look for what level of error correction is demonstrated with the H4 in 2027, how sustained real‑time QEC is in 2028, and what logical error rates are achieved for multi‑logical‑qubit operations in 2029. Only after those figures are published can the technical significance of the “nine logical qubits” target be properly assessed. NETWORKSee IQM’s industry network → (/qi-network/) Related articles • IBM、量子プロセッサ「Nighthawk r2」提供開始　毎秒10万回超の回路実行、Heron比最大25倍 (https://en.quantumindex.jp/ibm-quantum-nighthawk-r2-high-speed-reset/) • D-Wave、デュアルレール量子ビットで高忠実度の2量子ビットゲートを実証 (https://en.quantumindex.jp/dwave-dual-rail-entangling-gate-error-correction/) • IQM、上場後初の決算を発表　受注残高は1億210万ユーロ超 (https://en.quantumindex.jp/iqm-h1-2026-earnings-order-backlog/) Sources Read the original announcement (https://iqm.gcs-web.com/news-releases/news-release-details/lumi-ai-factory-selects-iqms-staged-path-europes-first) 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**. 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IQM Quantum Computers has announced a three‑stage plan to deploy the quantum computer “LUMI‑IQ” for the LUMI AI Factory starting in 2027. In the final 2029 update, the system is planned to perform computations with up to nine logical qubitslogical qubitsLogical Qubit / Logical QubitA unit of information treated as a single qubit protected from errors by using multiple physical qubits and quantum error correction.QI NoteSimply having “created a logical qubit” does not necessarily mean fault-tolerant quantum computing (FTQC) has been achieved. One should verify logical error rates, operational/gate performance, and scalability. using 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. and to enable operations between logical qubits.

Announcement overview

LUMI‑IQ will be a quantum computer jointly owned by Finland, the Czech Republic, Norway and Poland, and co‑funded by the EuroHPC Joint Undertaking and the participating countries. It will be installed in the new data center of CSC – IT Center for Science in Kajaani, Finland, and integrated into the LUMI‑AI environment. In phase one, IQM plans to deploy an IQM Halocene H4 with 150 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. in 2027, offering initial quantum error correction capabilities. In 2028 the system will be updated to reduce logical error rates and support real‑time error correction, and in 2029 it is scheduled to be upgraded to the Halocene H5. In the final configuration, fast real‑time feedback is intended to preserve logical qubits and support logical operations including lattice surgery and T‑gate teleportation. Computations using distance‑3 surface or color codes are expected to handle up to nine logical qubits, and encoding support is planned up to surface‑code distance 11 and color‑code distance 9. LUMI‑IQ and LUMI‑AI will form a hybrid platform combining HPC, AI and quantum computing. The system is intended as a research environment that combines conventional simulation, machine learning and quantum algorithms.

Key points

• IQM plans to install a 150‑physical‑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. IQM Halocene H4 in 2027 to provide initial quantum error correction functionality.
• The 2028 update is expected to focus on reducing logical error rates and supporting real‑time error correction.
• IQM aims to upgrade to Halocene H5 in 2029 and target computations with up to nine logical qubits.
• The final configuration is intended to support logical operations including lattice surgery and T‑gate teleportation.
• The system will be installed at CSC’s data center and integrated with LUMI‑AI to build an HPC‑AI‑quantum computing platform.

Technical and business implications

On the technical side, the staged approach—from deploying physical qubits to implementing real‑time error correction and then enabling operations between logical qubits—is a defining characteristic. Not only is the scale of up to nine logical qubits significant, but the feedback mechanisms that reduce logical error rates and allow sustained logical operations are important steps toward early fault‑tolerant quantum computing. From a business perspective, the deployment model shows a consortium ownership structure with participating organizations jointly owning the system and integrating it continuously into existing HPC and AI environments while applying staged updates. However, the announcement does not include details on deployment costs, specific performance metrics, or demonstrated advantages over existing computational methods for practical applications.

Points to watch

The first thing to watch is whether the Halocene H4 ships in 2027 as planned and what performance metrics are presented for the 150 physical qubits and the initial error correction features. Subsequent updates should demonstrate the actual reduction in logical error rates and the robustness of real‑time error correction, and in 2029 it will be critical to see whether logical operations can be run across multiple logical qubits and what logical error rates are achieved. After integration with LUMI‑AI, published use cases that combine HPC, AI and quantum computing—and comparisons with conventional methods—will also be important evaluation material.

✍️ Quantum Index Analysis

The important point in this announcement is not the headline number “up to nine logical qubitslogical qubitsLogical Qubit / Logical QubitA unit of information treated as a single qubit protected from errors by using multiple physical qubits and quantum error correction.QI NoteSimply having “created a logical qubit” does not necessarily mean fault-tolerant quantum computing (FTQC) has been achieved. One should verify logical error rates, operational/gate performance, and scalability.” itself, but that IQM appears to be shifting its development axis from simply increasing the number of 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. to operating logical qubits based on 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..

To date, IQM has deployed gate‑based quantum computers that expose physical qubits directly, including the 5‑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. Spark, the 20‑qubit Garnet and the 54‑qubit Radiance. Spark was announced in 2023 for universities and research institutions, and Garnet reported, for its 20‑qubit QPUQPUQuantum 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., a median two‑qubit 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. of 99.5%. The Radiance 54 is also being pursued for integration with systems such as Italy’s CINECA supercomputer Leonardo.

Year	Main system	Qubit scale	Positioning
2021	System for VTT	5 physical qubits	Introduced as Finland’s first quantum computer
From 2023	IQM Spark	5 physical qubits	On‑premises machines for universities and research institutions
From 2024	IQM Garnet	20 physical qubits	Validate gate performance and system performance at the 20‑qubit scale
From 2025	IQM Radiance 54	54 physical qubits	Large‑scale on‑premises machines including for HPC centers
From 2026	IQM Halocene	~150 physical qubits	Transition to a product line oriented toward error correction
Planned 2027	LUMI‑IQ / Halocene H4	150 physical qubits	Initial quantum error correction
Planned 2028	LUMI‑IQ update	—	Reduce logical error rates; real‑time error correction
Planned 2029	Halocene H5	Up to 9 logical qubits	Early fault‑tolerant computations including operations between logical qubits

It is important not to read the sequence “5→20→54→150→9” as a simple increase or decrease in qubit counts. The earlier figures are primarily physical qubit counts, while the 2029 figure of nine qubits refers to logical qubits formed by grouping multiple physical qubits with error‑correcting codes—the evaluation axis is different. IQM itself positions Halocene as a shift from the NISQNISQNoisy Intermediate-Scale Quantum / NISQA term for quantum devices of roughly tens to thousands of qubits that include noise and do not have sufficient error correction, or for the technological stage they represent.QI NoteIt is not a classification defined by a strict qubit count. Because it broadly refers to devices prior to FTQC, one needs to examine specific error rates and the circuits that can be executed.‑focused Radiance line toward a product line oriented to quantum error correction. For the initial 150‑qubit variant, IQM targets 99.7% two‑qubit gate fidelity and envisions research use with up to five logical qubits. Note that these are target values.

LUMI‑IQ follows that trajectory: a 2027 Halocene H4, a 2028 update introducing real‑time error correction, and a 2029 H5. In its final configuration, using distance‑3 surface or color codes it plans to run with up to nine logical qubits and support logical operations including lattice surgery and T‑gate teleportation. This road map implies not only producing logical qubits but advancing to the stage of composing computations from those logical qubits.

However, neither the 150 physical qubits nor the up to nine logical qubits are currently demonstrated performance levels for LUMI‑IQ. The critical questions are whether increasing code distance will actually yield logical error rates lower than physical error rates, how well logical states can be maintained under repeated error correction, and what fidelity can be achieved for logical gates. The announcement does not provide concrete logical error rates or logical‑gate fidelities.

Therefore, future evaluation of LUMI‑IQ should not focus solely on the increase in physical qubit count. You should look for what level of error correction is demonstrated with the H4 in 2027, how sustained real‑time QEC is in 2028, and what logical error rates are achieved for multi‑logical‑qubit operations in 2029. Only after those figures are published can the technical significance of the “nine logical qubits” target be properly assessed.

NETWORKSee IQM’s industry network →

Related articles

• IBM、量子プロセッサ「Nighthawk r2」提供開始　毎秒10万回超の回路実行、Heron比最大25倍
• D-Wave、デュアルレール量子ビットで高忠実度の2量子ビットゲートを実証
• IQM、上場後初の決算を発表　受注残高は1億210万ユーロ超

Sources

Read the original announcement