quantumcomputingcost
provider:google-willow

Google Quantum AI — Willow

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Pricing model

Not commercially priced. Research-access only via competitive proposal programme.

1.Representative workload costs

Concrete circuit costs for common workload sizes. Where the pricing model is non-linear (per-program minimums, per-month subscriptions), the table surfaces the floor and break-even points.

Table 1 — Workload cost reference

WorkloadCost (USD)Note
Submission deadline 15 May 2026, notifications 1 Jul 2026n/aSelection by Google research review.
Production accessNot availableWillow is not available for commercial workloads in 2026.

2.Structural hardware advantage

105-qubit superconducting with below-threshold quantum error correction demonstrated to distance-7 surface code (Acharya et al., Nature, December 2024). The first hardware to demonstrate increasing logical qubits with increasing physical-qubit scale — a milestone result for fault-tolerant quantum computing.

3.Position in the 2026 stack

Research-only, frontier. Google's strategic position is academic / fundamental-science research rather than commercial cloud QPU access. Willow is shown publicly as a research milestone, not a buyable product.

4.Best-fit workloads

5.Pricing trap

Watch for: Do not budget Willow access for production workloads. If your project depends on Willow, you need an accepted research proposal — and that's not a procurement process, it's a research grant cycle.
Verification note. Early-access research programme only; selection via proposal, application deadline 15 May 2026, and Google states selected applicants have been notified. Willow is not yet available to the public and carries no published list price. Re-checked 2026-09-07. Below-threshold QEC demonstrated to distance-7 surface code (Nature, Dec 2024).

6.Source

https://quantumai.google/willowearlyaccess · verified 2026-09-07

See also: all providers index · methodology · comparative tables