Machine learningStochastic Method
量子蒙特卡洛
量子蒙特卡洛（QMC）是一种用于计算量子多体系统基态性质的随机计算方法。QMC方法结合了经典蒙特卡洛采样和量子力学，是电子结构和凝聚态物理学中最精确的方法之一，对许多系统能达到亚百分之一的精度。
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来源
- Metropolis, N., Rosenbluth, A. W., et al. (1953). Equation of state calculations by fast computing machines. Journal of Chemical Physics, 21, 1087–1092. DOI: 10.1063/1.1699114 ↗
- Reynolds, P. J., Tobochnik, J., Gould, H. (1990). Diffusion quantum Monte Carlo. Computers in Physics, 4, 662–668. DOI: 10.1063/1.4822960 ↗
- Needs, R. J., et al. (2020). Variational and diffusion quantum Monte Carlo calculations with the CASINO code. The Journal of Chemical Physics, 152, 154106. DOI: 10.1063/1.5144288 ↗
如何引用本页
ScholarGate. (2026, June 3). Quantum Monte Carlo (QMC). ScholarGate. https://scholargate.app/zh/quantum-computing/quantum-monte-carlo
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