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Reinforcement Learning for Syndrome Extraction

This story is from 2026-09-14. It is preserved in the archive; the latest stories are on the live feed.

arXiv:2609.12020v1 Announce Type: new Abstract: A key subtask of quantum error correction is to extract a syndrome that, if nontrivial, signals an error. The number of possible ways to extract a syndrome grows exponentially with the syndrome size, and these implementations vary greatly in fault tol…

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  1. 2026-09-14 04:00 · arXiv cs.LG
    Reinforcement Learning for Syndrome Extraction

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