量子理论的算法方法2:集体行为方法与蒙特卡罗方法

I. Semenihin, Y. Ozhigov
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引用次数: 3

摘要

集体行为的方法是基于一群经典粒子对真实量子粒子的表示,这些经典粒子具有初始粒子的所有性质,但具有经典状态,如坐标和脉冲。蜂群仿真由于保留了经典的动力学描述方法,因而比分析方法更加灵活和强大。用扩散蒙特卡罗法计算电子的定态,说明了集体行为的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Algorithmic approach to quantum theory 2: method of collective behavior and Monte-Carlo method
The method of collective behavior is based on the representation of real quantum particle by the swarm of classical particles which have all properties of the initial particle but have classical states like coordinates and impulse. Simulation with swarms can be more flexible and powerful than analytical methods because it preserves the methodology of classical description of dynamics. The method of collective behavior is illustrated on the diffusion Monte Carlo way of calculating stationary states of electrons.
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