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1 evidence source added · axis ratings unchanged
Assessment reviewed 6 Sept 2026 · Research reviewed 13 Oct 2026
Superconducting processors and quantum error correction research
Recorded aliases
No aliases recorded in this assessment.
Name and period
No dated name or ownership transition is recorded here. An alias is a search aid, not evidence of a legal ownership relationship.
Product scope
Willow superconducting gate-model processors, with surface-code quantum-memory experiments.
A company profile may discuss several systems. Capabilities remain attached to the product and conditions named in each source; they do not transfer automatically to related organizations. A verified security relationship has not been attached to this record.
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Willow superconducting gate-model processors, with surface-code quantum-memory experiments.
Who should look closer
Understanding the experimental evidence behind quantum error correction. Research teams studying programmable quantum simulation through restricted partner access.
QubitWire’s editorial assessment of practical fit.
Selected research partners
Willow is not publicly available. The May 15, 2026 early-access deadline has passed and selected applicants have been notified. Hardware use requires an approved group and authorized Google Cloud project.
A better-protected logical memory does not by itself demonstrate the complete set of fault-tolerant operations needed for useful algorithms. Simulation results and memory results measure different capabilities.
The next question to watch
Can the demonstrated memory protection be extended to reliable logical operations and larger computations with the required real-time control?
A research question, not a promised milestone.
QubitWire coverage
Research · Published · Source report · Sources checked
An October 8 simulation preprint proposes virtual error cancellation using stored syndrome records. The useful question is how much accuracy offline analysis buys after its full cost is counted.
Research · Published · Source report · Sources checked
Circuit simulations suggest flat roughly 100-qubit modules with sparse boundary connections could cut memory overhead tenfold or more versus surface codes.
A reinforcement-learning experiment improves stability under injected drift and fine-tunes an already calibrated processor.
Open research questions
Editorial questions for this profile. No reviewed closure decision has been recorded; unanswered questions do not lower the official score.
Open research question
Can the demonstrated memory protection be extended to reliable logical operations and larger computations with the required real-time control?
What evidence would help
A source addressing this question must identify the named system, experiment or deployment, its conditions, measured outcome and remaining limitations. Does the result report errors, circuit depth and a credible classical baseline?
What would resolve it?
An editorial review must explain which part of this question the evidence resolves. A roadmap or an announcement alone does not close it.
No resolved, partial or disputed outcome is asserted without a reviewed transition and its evidence.
Which named system or service can I use under the documented access route?
What evidence would help
Check the current terms for selected research partners. Identify the system version, eligibility, restrictions and whether the result used hardware or simulation.
What would resolve it?
Current primary documentation must identify the offering, eligible user and access conditions. An unspecified company-level access claim is insufficient.
No resolved, partial or disputed outcome is asserted without a reviewed transition and its evidence.
Can you access the named system today, and under which plan?
What evidence would help
Provide the source location, relevant product or generation, workload, resource constraints and reported uncertainty. Keep measurements, simulations and announced targets distinct.
What would resolve it?
A source reviewer must map the evidence to this exact scope. Missing disclosure remains unknown; it is not technical failure.
No resolved, partial or disputed outcome is asserted without a reviewed transition and its evidence.
Questions are drawn from the existing brief and sector reading guide. Research brief reviewed 13 Oct 2026. Following stores a local bookmark; it does not send email alerts or imply a scheduled review.
Since your review
Scope: Google Quantum AI. Reading a page never marks its records reviewed.
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These are the existing assessment claims and their recorded criterion links. A source link is not an independent replication. New research does not change these published ratings automatically.
Google Quantum AI and collaborators report below-threshold surface-code memories on Willow, including a logical memory exceeding the lifetime of its best physical qubit.
Program describes access for selected researchers, states Willow is not publicly available, and says selected applicants have been notified after a 15 May 2026 deadline.
Repeated coverage can describe the same experiment. The assessment does not contain a reviewed claim-family grouping, so the number of links is never shown as a replication count. Source pages can change independently of this saved assessment; the original source text is not archived here.
Google Quantum AI and collaborators report below-threshold surface-code memories on Willow, including a logical memory exceeding the lifetime of its best physical qubit.
Program describes access for selected researchers, states Willow is not publicly available, and says selected applicants have been notified after a 15 May 2026 deadline.
Google-affiliated research preprint proposes post-processing stored syndrome records to mitigate logical estimates; reports distance-seven surface-code simulations. No new hardware benchmark, public access entitlement or universal fault-tolerant demonstration is established.
