Sparse-Blossom Decoding in Time
Ryo Mikami, Hayata Yamasaki · 2026 · arXiv
| 编号 QE291 | 主题 译码算法 | 链接 arXiv:2609.12262 |
摘要
摘要保留原文(英文)
摘要取自 arXiv / 出版方元数据,未作翻译,以保证与原文一致。
Matching-based decoding is widely used in quantum error correction, and accelerating it is key to enabling fast and scalable fault-tolerant quantum computation. Minimum-weight perfect matching (MWPM) decoding provides rigorous guarantees for error suppression, while sparse blossom enables its practical implementation at modest problem sizes. However, the runtime of existing sparse-blossom implementations unavoidably increases with problem size, motivating a rigorous parallelization framework that guarantees correctness and a runtime shorter than the syndrome-extraction timescale. Here, we pres
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