AI RESEARCH
Rethink the Role of Neural Decoders in Quantum Error Correction
arXiv CS.AI
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ArXi:2605.12046v1 Announce Type: cross Quantum error correction (QEC) is essential for enabling quantum advantages, with decoding as a central algorithmic primitive. Owing to its importance and intrinsic difficulty, substantial effort has been made to QEC decoder design, among which neural decoders have recently emerged as a promising data-driven paradigm. Despite this progress, practical deployment remains hindered by a fundamental accuracy-latency tradeoff, often on the microsecond timescale.