Corning/ai4sci-surface-code-decoding

Sycamore surface-code decoding: materialized benchmark Predict a logical observable flip from repeated stabilizer detection events in a noisy quantum memory. The benchmark trains decoders that improve the reliability of encoded quantum information. It uses real Sycamore hard-readout experiments at code distances 3 and 5, not simulated soft-readout d11 data. Source: Google Quantum AI Sycamore memory experiments, Zenodo 6804040, CC-BY-4.0. Scientific model reference: Bausch et… See the full description on the dataset page: https://huggingface.co/datasets/Corning/ai4sci-surface-code-decoding.