建议扫读 Quantum Monte Carlo and the Sign Problem · 89 analysis_scope: abstract_only

Removing Nodal and Support-Mismatch Pathologies in Variational Monte Carlo via Blurred Sampling

Zhou-Quan Wan, Roeland Wiersema, and Shiwei Zhang

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论文直接解决变分量子多体Monte Carlo中的节点和支撑不匹配问题，提出消除无穷方差与系统偏差的采样后处理方法。

该条目只有相关性判断，尚未生成结构化深度摘要。

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Author(s): Zhou-Quan Wan, Roeland Wiersema, and Shiwei Zhang A Monte Carlo postprocessing method called blurred sampling eliminates infinite variance and systematic bias in variational quantum many-body simulations. [Phys. Rev. X 16, 031059] Published Wed Sep 02, 2026