Machine learningMonte Carlo Method
路径积分蒙特卡洛
路径积分蒙特卡洛（PIMC）是一种计算量子系统热力学和结构性质的计算方法，它利用费曼的路径积分公式。PIMC由David Ceperley及其同事在20世纪90年代严格发展起来，它将量子粒子视为高维空间中的经典聚合物，从而能够有效地对量子统计进行蒙特卡洛采样。
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来源
- Feynman, R. P. (1948). Space-time approach to non-relativistic quantum mechanics. Reviews of Modern Physics, 20, 367–387. DOI: 10.1103/RevModPhys.20.367 ↗
- Ceperley, D. M. (1995). Path integrals in the theory of condensed helium. Reviews of Modern Physics, 67, 279–355. DOI: 10.1103/RevModPhys.67.279 ↗
- Trofimov, D., et al. (2020). Practical path integral Monte Carlo. Annual Review of Computational Physics, 2, 165–190. link ↗
如何引用本页
ScholarGate. (2026, June 3). Path Integral Monte Carlo (PIMC). ScholarGate. https://scholargate.app/zh/quantum-computing/path-integral-monte-carlo
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