A Sim-to-Real Study of Surface-Code Decoder Benchmarking
A new benchmarking study tests whether surface-code decoder rankings derived from simulated noise models hold on real quantum hardware. It uses Google's Willow processor, a device that has operated below the surface-code error-correction threshold, as the hardware testbed.
AI analysis — not reported by the source
What this could mean
- 0–2 yearsPlausible
If decoder rankings transfer from simulation to Willow-class hardware, error-correction teams could select and optimise surface-code decoders largely in simulation, reducing the need for repeated on-device benchmarking during early logical qubit experiments.
Below-threshold processors remain scarce and hardware benchmarking is expensive; a validated sim-to-real correspondence would make simulation-based decoder screening a practical default for near-term logical memory and stability tests.
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