English(EN) GSC-QEMit: A Telemetry-Driven Hierarchical Forecast-and-Bandit Framework for Adaptive Quantum Error Mitigation

GSC-QEMit框架将量子纠错能力提升9.0%

作者 PulseAugur 编辑部 · [2 个来源] · 2026-04-27 14:44

研究人员开发了GSC-QEMit，一个旨在自适应管理量子纠错的新框架。该系统利用遥测数据预测噪声波动，然后采用老虎机算法选择适当的纠错级别。在测试中，与未缓解的运行相比，GSC-QEMit将逻辑保真度提高了9.0%，同时还减少了不必要且资源消耗大的干预。 AI

影响为量子计算引入了一种新颖的自适应纠错策略，有望提高可靠性和效率。

排序理由这是一篇详细介绍量子纠错新框架的研究论文。

AI 生成摘要 · Google Gemini · 来自 2 个来源。我们如何撰写摘要 →

报道来源 [2]

arXiv cs.LG TIER_1 English(EN) · Steven Szachara, Sheeraja Rajakrishnan, Dylan Jay Van Allen, Jason Pollack, Travis Desell, Daniel Krutz · 2026-04-28 04:00

GSC-QEMit: A Telemetry-Driven Hierarchical Forecast-and-Bandit Framework for Adaptive Quantum Error Mitigation

arXiv:2604.24551v1 Announce Type: cross Abstract: Quantum error mitigation (QEM) is essential for extracting reliable results from near-term quantum devices, yet practical deployments must balance mitigation strength against runtime overhead under time-varying noise. We introduce…
arXiv cs.LG TIER_1 English(EN) · Daniel Krutz · 2026-04-27 14:44

GSC-QEMit: A Telemetry-Driven Hierarchical Forecast-and-Bandit Framework for Adaptive Quantum Error Mitigation

Quantum error mitigation (QEM) is essential for extracting reliable results from near-term quantum devices, yet practical deployments must balance mitigation strength against runtime overhead under time-varying noise. We introduce \emph{GSC-QEMit}, a telemetry-driven, \textbf{con…