AI RESEARCH

SAQ: Stabilizer-Aware Quantum Error Correction Decoder

arXiv CS.AI

ArXi:2512.08914v2 Announce Type: replace-cross Quantum Error Correction (QEC) decoding faces a fundamental accuracy-efficiency tradeoff. Classical methods like Minimum Weight Perfect Matching (MWPM) exhibit variable performance across noise models and suffer from polynomial complexity, while tensor network decoders achieve high accuracy but at prohibitively high computational cost. Recent neural decoders reduce complexity but lack the accuracy needed to compete with computationally expensive classical methods. We.