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Nobel Laureate John Martinis’s Qolab Joins HPE’s Quantum Scaling Alliance

Qolab co-founded by Nobel laureate John Martinis is among eight members of HPE’s Quantum Scaling Alliance. Its qubit and scale ambitions remain development goals, not demonstrated results.
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John Martinis’s quantum-computing startup, Qolab, is one of eight founding members of the Quantum Scaling Alliance (QSA), announced by HPE on November 10, 2025. The consortium says it aims to develop a practical, cost-effective quantum supercomputer by combining quantum computing with semiconductor engineering and high-performance computing. That is a stated goal, not a completed or demonstrated machine.

What is the Quantum Scaling Alliance?

QSA is an industry-and-academia consortium formed to work on the technologies needed to scale quantum computing and connect it with classical high-performance computing (HPC). HPE’s November 10, 2025 launch announcement listed eight founding members: seven companies and the University of Wisconsin.

John Martinis, Qolab co-founder and chief technology officer, co-leads the alliance. HPE’s Masoud Mohseni oversees the initiative and serves as its quantum system architect. Those are distinct roles: Martinis is a co-leader, while Mohseni has responsibility for the initiative’s oversight and system architecture.

What each founding member contributes

The following roles are those described in HPE’s launch announcement; they identify areas of expertise, not proof that a particular component or system has been completed.

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Member Stated contribution
1QBit Fault-tolerant error-correction design and simulation, algorithm compilation, and automated resource estimates
Applied Materials Materials engineering and semiconductor fabrication
HPE Quantum-HPC integration and software
Qolab Qubit and circuit design
Quantum Machines Hybrid quantum-classical control
Riverlane Quantum error correction
Synopsys Simulation and analysis technology, electronic-design-automation tools, and semiconductor intellectual property
University of Wisconsin Algorithms and benchmarks

The mix reflects how many different disciplines a large quantum-computing system requires: designing qubits is only one part of the work. Fabrication, control electronics, error correction, simulation, algorithms, and links to classical computers all have to fit together.

Why the alliance is focused on wiring and silicon wafers

EE Times reported on December 8, 2025, that superconducting qubits were the main technology under development in QSA at that time. These systems operate at very low temperatures, and connecting a large number of qubits across temperature stages creates a scaling and wiring challenge. Martinis put the problem this way: “If we want to make a million-qubit device, there’s a scaling and wiring issue with superconducting qubits.”

EE Times described a proposed approach involving fine metal traces on silicon wafers to connect devices across temperature stages. The report attributes the approach to Martinis and Qolab’s work with Applied Materials. It is a development effort—not evidence of a production-ready interconnect or a proven solution to the wiring problem.

What the million-qubit and 2033 figures mean

EE Times reported that QSA’s vision includes a 2033 milestone of up to five million physical qubits. The same report said Martinis expected the alliance to pursue devices exceeding one million qubits. Both figures describe future ambitions, not hardware already built or independently verified.

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Figure What it refers to How to interpret it
Up to five million physical qubits by 2033 QSA’s vision, as reported by EE Times in December 2025 A future target; not a demonstrated result
More than one million qubits Martinis’s stated expectation for devices the alliance would pursue, as reported by EE Times in December 2025 An interview statement, not an independently verified forecast or achievement
Up to 100 times fewer logical qubits than physical qubits A comparison attributed to Synopsys Distinguished Architect Igor Markov in the EE Times report An estimate illustrating the potential scale of error-correction overhead, not a universal conversion ratio

Physical qubits are the hardware units in a quantum processor. Logical qubits are error-corrected units intended to preserve quantum information more reliably. Error correction can require many physical qubits to support a single logical qubit, so a headline physical-qubit target does not tell readers how many useful logical qubits a machine would provide. The ratio depends on the system and its error-correction design; the reported “up to 100 times” comparison should not be treated as a fixed rule.

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What the announcement does—and does not—establish

HPE’s announcement establishes that the eight organizations formed a consortium and describes their stated goals and roles. The December 2025 EE Times report adds a technical approach under development and the alliance’s reported scale ambitions. These sources do not establish that QSA has completed or demonstrated a scalable quantum supercomputer, reached a million-qubit device, or achieved the 2033 target.

Synopsys Distinguished Architect Igor Markov described the alliance as an ecosystem spanning “topics from atomic simulation to supercomputing systems.” That breadth helps explain the partnership’s structure: QSA is an effort to coordinate specialized contributions across a complex technology stack, rather than a claim that one startup has already solved quantum scaling.

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