稳定递归辅助场量子蒙特卡洛算法在正典集团:温度计和哈伯德模型的应用
Tong Shen1, Hatem Barghathi2, Jiangyong Yu3
1Department of Chemistry, Brown University, Providence, Rhode Island 02912, USA.
Physical review. E
|June 17, 2023
概括
我们开发了一种新的量子蒙特卡洛方法,用于模拟定律集中的有限量子系统. 这种方法提供了更好的性能和准确性,特别是在具有挑战性的模型,如费米子哈伯德模型.
科学领域:
- 量子多体物理学 量子多体物理学
- 统计力学 统计力学
- 计算物理 计算物理
背景情况:
- 有限大小的交互量子系统通常被描述为正规集体.
- 传统的数值方法在模拟这些系统时面临着一些局限性,例如近似或糟糕的缩放.
研究的目的:
- 介绍一种新的,稳定的辅助场量子蒙特卡罗方法,用于直接的法典集团模拟.
- 将这种方法应用于哈巴德子模型,以解决符号问题并提高性能.
- 量化激发的影响,并分析超冷原子的温度计.
主要方法:
- 开发了一种递归辅助场量子蒙特卡罗方法.
- 在1D和2D中模拟了哈伯德的费米子模型,包括符号问题制度.
- 采用估计器不可知的方法来量化激发和比较密度矩阵.
主要成果:
- 实现了费米子哈伯德模型的性能改善和快速趋同到基态值.
- 在正规合奏模拟中证明了该方法的稳定性和有效性.
- 在超冷原子温度测量中使用大规范集体分析识别了温度的潜在低估.
结论:
- 新的量子蒙特卡洛方法为规范集合模拟提供了一个强大的工具.
- 这些发现凸显了当前对超冷原子的温度计技术的局限性.
- 这项工作促进了量子系统的模拟和热力学性质的理解.
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