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Quantum decoder performance studied on Willow processor

By PulseAugur Editorial · [1 sources] ·

A new study published on arXiv investigates the performance of quantum error-correction decoders by comparing synthetic noise models with real-world hardware data from the Willow processor. The research found that rank agreement between synthetic and hardware evaluations improves significantly when the noise model assigns unique error rates to each operation type. Additionally, NVIDIA's Ising pre-decoder showed no accuracy-latency advantage under specific hardware conditions, with other decoders performing comparably or better. AI

RANK_REASON The cluster contains a research paper detailing a study on quantum error-correction decoders. [lever_c_demoted from research: ic=1 ai=0.1]

Read on arXiv cs.LG →

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Quantum decoder performance studied on Willow processor

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The cluster contains a research paper detailing a study on quantum error-correction decoders. [lever_c_demoted from research: ic=1 ai=0.1]
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COVERAGE [1]

  1. arXiv cs.LG TIER_1 English(EN) · Shay J. Manor, Leila S. Erhili, Yassine Jebbouri ·

    A Sim-to-Real Study of Surface-Code Decoder Benchmarking

    arXiv:2609.04557v1 Announce Type: cross Abstract: Quantum error-correction decoders are typically benchmarked against synthetic circuit-level noise, under the assumption that a decoder's ranking under such noise transfers to hardware and improves as the noise model becomes more r…

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