Microsoft unveils Majorana 2 topological quantum processor with qubit lifetimes averaging 20 seconds

【Article Title】 Microsoft unveils Majorana 2 topological quantum processor with qubit lifetimes averaging 20 seconds 【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/microsoft-majorana-2-topological-quantum-processor/) Microsoft has announced the topological 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. “Majorana 2.” By changing the superconducting material from aluminum to lead and adopting a new material stack, the company reports 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. lifetimes averaging 20 seconds, with some exceeding one minute. Microsoft has accelerated its development timeline and set a target of 2029 to realize a scalable, practical quantum computer. Announcement summary Majorana 2 is a processor that hosts multiple topological qubits called “tetrons,” each composed of two superconducting nanowires with Majorana zero modesMajorana zero modesマヨラナゼロモード / Majorana Zero Mode / MZMA zero-energy quantum state predicted to appear in certain superconducting systems, characterized by the property that the particle is identical to its antiparticle.QI NoteAn important candidate for topological quantum computation, but an observation does not by itself constitute the realization of a topological qubit. It is necessary to read the details of experimental demonstrations separately. at their ends. A four-qubit array was used in the technical paper to demonstrate the effects of the materials change. In the new materials stack, the aluminum used in Majorana 1 was replaced with lead, and the semiconductor active region uses a combination of indium arsenide and indium antimonide. The topological gap, which protects qubits from environmental noise and errors, is reported to be more than twice that of the previous processor. Qubit lifetimes on Majorana 1 ranged from 1 to 12 milliseconds, whereas Majorana 2 extends lifetimes to an average of 20 seconds, with some exceeding one minute. Operation times are on the order of microseconds, and Microsoft describes this as more than a 1,000× improvement in reliability versus the prior device. Control relies on parity measurements that determine whether the electron number in a nanowire is even or odd. In addition to single-shot readout, digital pulses can connect and disconnect quantum dots and nanowires, enabling measurement of two-qubit joint parity. This functionality is necessary for measurement-based computation 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.. The company has advanced to the final phase of the US2QC program, which is part of DARPA’s Quantum Benchmarking Initiative, and is aiming to build a fault-tolerant prototype based on topological qubits. Microsoft says AI-driven materials design and other approaches have halved development time, and it therefore sets a 2029 target for a scalable quantum computer. Key points • The new materials stack using lead enlarges the topological gap to more than twice that of Majorana 1. • Qubit lifetimes have extended from Majorana 1’s 1–12 milliseconds to an average of 20 seconds, with some exceeding one minute. • Performance gains from the materials change were demonstrated on a four-qubit array; operations are performed in microseconds. • The processor supports single-shot readout and two-qubit joint parity measurements, enabling measurement-based control needed for quantum error correction. • Microsoft is advancing a fault-tolerant prototype under DARPA evaluation and targets a scalable quantum computer by 2029. Technical and business implications Expanded qubit lifetimes and a larger topological gap are important technical advances for extending topological qubits toward fault-tolerant quantum computingfault-tolerant quantum computingFTQC / Fault-Tolerant Quantum Computing / FTQCA method for future large-scale quantum computing that uses quantum error correction to allow correct computation to continue even when physical errors occur.QI NoteA demonstration of quantum error correction is not the same as realizing FTQC. Logical error rates, the number of physical qubits required, logical gate performance, and so on are important.. Digital control enabling joint parity measurements also provides a foundation for implementing quantum error correction. However, the results reported here are for a four-qubit array; the number of 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., error rates, demonstrated quantum error correction, and manufacturing yield have not been disclosed. Progress toward a fault-tolerant prototype under DARPA assessment outlines a commercialization path, but assessing the feasibility of the 2029 target will require future quantitative results. Points to watch The next milestones to watch are demonstrations of quantum error correction using joint parity measurements and disclosure of logical qubit error rates. It will also be critical to see whether lifetimes and operational performance are maintained when scaling beyond a four-qubit array, and whether results are reproducible with acceptable manufacturing yield. Progress and findings from the DARPA evaluation and specific intermediate milestones toward the 2029 target will be key for assessing feasibility. ✍️ Quantum Index Analysis This announcement can be seen as evidence that materials and device technologies for topological 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. are making steady progress. In particular, improvements in qubit lifetimequbit lifetimeQubit Lifetime / Qubit Lifetime / Quantum Bit LifetimeA term referring to the time during which a qubit can retain its quantum state. Depending on context, it may denote a specific metric such as the energy relaxation time.QI NoteNot necessarily strictly synonymous with coherence time. When examining numerical values, check what is being called the "lifetime" (for example, T1, T2, etc.)., the topological gap, and parity measurement capabilities represent important foundational technologies for fault-tolerant quantum computingfault-tolerant quantum computingFTQC / Fault-Tolerant Quantum Computing / FTQCA method for future large-scale quantum computing that uses quantum error correction to allow correct computation to continue even when physical errors occur.QI NoteA demonstration of quantum error correction is not the same as realizing FTQC. Logical error rates, the number of physical qubits required, logical gate performance, and so on are important., and indicate that R&D is progressing from device demonstrations toward system-level implementation. That said, labeling the approach “scalable” cannot be judged on qubit lifetime improvements alone. Scalability depends on system-level performance factors such as logical qubitlogical qubitLogical 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. error rates, demonstrated 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., reproducibility at large-scale integration, and manufacturing yield. The current results are at the four-qubit scale, and a substantial technical gap remains to leap to a fault-tolerant system. Therefore, the 2029 target should be considered quite aggressive. Quantitative data on logical qubits and error correction to be released in the future will be essential for evaluating the target’s feasibility. Related articles • Q-CTRL organizes quantum practicality into performance, deployability, and usability (https://en.quantumindex.jp/qctrl-quantum-capability-deployability-usability/) • IBM and others demonstrate “quantum advantage” with verifiable quantum computation (https://en.quantumindex.jp/ibm-trusted-quantum-computation-advantage/) • Strangeworks announces enterprise optimization system “Aura” (https://en.quantumindex.jp/strangeworks-aura-enterprise-optimization/) Source Read the original announcement (https://quantum.microsoft.com/en-us/insights/blogs/majorana-2-scalable-quantum-processor) 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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Microsoft has announced the topological 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. “Majorana 2.” By changing the superconducting material from aluminum to lead and adopting a new material stack, the company reports 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. lifetimes averaging 20 seconds, with some exceeding one minute. Microsoft has accelerated its development timeline and set a target of 2029 to realize a scalable, practical quantum computer.

Announcement summary

Majorana 2 is a processor that hosts multiple topological qubits called “tetrons,” each composed of two superconducting nanowires with Majorana zero modesMajorana zero modesマヨラナゼロモード / Majorana Zero Mode / MZMA zero-energy quantum state predicted to appear in certain superconducting systems, characterized by the property that the particle is identical to its antiparticle.QI NoteAn important candidate for topological quantum computation, but an observation does not by itself constitute the realization of a topological qubit. It is necessary to read the details of experimental demonstrations separately. at their ends. A four-qubit array was used in the technical paper to demonstrate the effects of the materials change. In the new materials stack, the aluminum used in Majorana 1 was replaced with lead, and the semiconductor active region uses a combination of indium arsenide and indium antimonide. The topological gap, which protects qubits from environmental noise and errors, is reported to be more than twice that of the previous processor. Qubit lifetimes on Majorana 1 ranged from 1 to 12 milliseconds, whereas Majorana 2 extends lifetimes to an average of 20 seconds, with some exceeding one minute. Operation times are on the order of microseconds, and Microsoft describes this as more than a 1,000× improvement in reliability versus the prior device. Control relies on parity measurements that determine whether the electron number in a nanowire is even or odd. In addition to single-shot readout, digital pulses can connect and disconnect quantum dots and nanowires, enabling measurement of two-qubit joint parity. This functionality is necessary for measurement-based computation 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.. The company has advanced to the final phase of the US2QC program, which is part of DARPA’s Quantum Benchmarking Initiative, and is aiming to build a fault-tolerant prototype based on topological qubits. Microsoft says AI-driven materials design and other approaches have halved development time, and it therefore sets a 2029 target for a scalable quantum computer.

Key points

• The new materials stack using lead enlarges the topological gap to more than twice that of Majorana 1.
• Qubit lifetimes have extended from Majorana 1’s 1–12 milliseconds to an average of 20 seconds, with some exceeding one minute.
• Performance gains from the materials change were demonstrated on a four-qubit array; operations are performed in microseconds.
• The processor supports single-shot readout and two-qubit joint parity measurements, enabling measurement-based control needed for quantum error correction.
• Microsoft is advancing a fault-tolerant prototype under DARPA evaluation and targets a scalable quantum computer by 2029.

Technical and business implications

Expanded qubit lifetimes and a larger topological gap are important technical advances for extending topological qubits toward fault-tolerant quantum computingfault-tolerant quantum computingFTQC / Fault-Tolerant Quantum Computing / FTQCA method for future large-scale quantum computing that uses quantum error correction to allow correct computation to continue even when physical errors occur.QI NoteA demonstration of quantum error correction is not the same as realizing FTQC. Logical error rates, the number of physical qubits required, logical gate performance, and so on are important.. Digital control enabling joint parity measurements also provides a foundation for implementing quantum error correction. However, the results reported here are for a four-qubit array; the number of 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., error rates, demonstrated quantum error correction, and manufacturing yield have not been disclosed. Progress toward a fault-tolerant prototype under DARPA assessment outlines a commercialization path, but assessing the feasibility of the 2029 target will require future quantitative results.

Points to watch

The next milestones to watch are demonstrations of quantum error correction using joint parity measurements and disclosure of logical qubit error rates. It will also be critical to see whether lifetimes and operational performance are maintained when scaling beyond a four-qubit array, and whether results are reproducible with acceptable manufacturing yield. Progress and findings from the DARPA evaluation and specific intermediate milestones toward the 2029 target will be key for assessing feasibility.

✍️ Quantum Index Analysis

This announcement can be seen as evidence that materials and device technologies for topological 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. are making steady progress. In particular, improvements in qubit lifetimequbit lifetimeQubit Lifetime / Qubit Lifetime / Quantum Bit LifetimeA term referring to the time during which a qubit can retain its quantum state. Depending on context, it may denote a specific metric such as the energy relaxation time.QI NoteNot necessarily strictly synonymous with coherence time. When examining numerical values, check what is being called the "lifetime" (for example, T1, T2, etc.)., the topological gap, and parity measurement capabilities represent important foundational technologies for fault-tolerant quantum computingfault-tolerant quantum computingFTQC / Fault-Tolerant Quantum Computing / FTQCA method for future large-scale quantum computing that uses quantum error correction to allow correct computation to continue even when physical errors occur.QI NoteA demonstration of quantum error correction is not the same as realizing FTQC. Logical error rates, the number of physical qubits required, logical gate performance, and so on are important., and indicate that R&D is progressing from device demonstrations toward system-level implementation.

That said, labeling the approach “scalable” cannot be judged on qubit lifetime improvements alone. Scalability depends on system-level performance factors such as logical qubitlogical qubitLogical 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. error rates, demonstrated 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., reproducibility at large-scale integration, and manufacturing yield. The current results are at the four-qubit scale, and a substantial technical gap remains to leap to a fault-tolerant system. Therefore, the 2029 target should be considered quite aggressive. Quantitative data on logical qubits and error correction to be released in the future will be essential for evaluating the target’s feasibility.

Related articles

• Q-CTRL organizes quantum practicality into performance, deployability, and usability
• IBM and others demonstrate “quantum advantage” with verifiable quantum computation
• Strangeworks announces enterprise optimization system “Aura”

Source

Read the original announcement