A Sim-to-Real Study of Surface-Code Decoder Benchmarking
Read the original on arXiv Machine Learning →The study benchmarks six quantum error‑correction decoders on the Willow processor, the first device operating below the surface‑code threshold, using a hierarchy of increasingly realistic noise models. By evaluating real hardware data across multiple code distances, bases, and round counts, the authors find that rank agreement with hardware emerges only when each operation type is assigned its own error rate. They also independently test NVIDIA’s Ising pre‑decoder, showing it offers no accuracy‑latency advantage over other decoders in most evaluations, and release the full evaluation pipeline and data for future comparisons.
Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv Machine Learning.