顶针之间的回火过渡
Tempered transitions between thimbles
摘要：
由于符号问题，具有复杂作用量的量子场论不能使用重要性抽样来研究。一种可能的解决方案是使用全纯梯度流，我们介绍了一种与莱夫谢茨顶针思想有关的方法。在许多情况下，该方法生成的概率分布是多模态的，并且标准蒙特卡罗抽样失败。我们提出了一个算法，采用回火的建议来解决这个问题。我们将此算法应用于0+1维Thirring模型在有限密度的参数集，标准采样失败，并表明回火建议解决这个问题。
英文摘要：
Quantum field theories with complex actions cannot be investigated using importance sampling due to the sign problem. One possible solution is to use the holomorphic gradient flow, a method we introduced related to the Lefschetz thimbles idea. In many cases the probability distribution generated by this method is multi-modal and standard Monte-Carlo sampling fails. We propose an algorithm that incorporates tempered proposals to solve this problem. We apply this algorithm to the 0+1 dimensional Thirring model at finite density for a parameter set where standard sampling fails and show that tempered proposals cure this problem.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
