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Coarse-graining of many-body path integrals: Theory and numerical approximations

机译:许多身体路径积分的粗大谷物:理论和数值近似

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摘要

Feynman's imaginary time path integral approach to quantum statistical mechanics provides a theoretical formalism for including nuclear quantum effects (NQEs) in simulation of condensed matter systems. Sinitskiy and Voth [J. Chem. Phys. 143, 094104 (2015)] have presented the coarse-grained path integral (CG-PI) theory, which provides a reductionist coarse-grained representation of the imaginary time path integral based on the quantum-classical isomorphism. In this paper, the many-body generalization of the CG-PI theory is presented. It is shown that the N interacting particles obeying quantum Boltzmann statistics can be represented as a system of N pairs of classical-like pseudoparticles coupled to each other analogous to the pseudoparticle pair of the one-body theory. Moreover, we present a numerical CG-PI (n-CG-PI) method applying a simple approximation to the coupling scheme between the pseudoparticles due to numerical challenges of directly implementing the full many-body CG-PI theory. Structural correlations of two liquid systems are investigated to demonstrate the performance of the n-CG-PI method. Both the many-body CG-PI theory and the n-CG-PI method not only present reductionist views of the many-body quantum Boltzmann statistics but also provide theoretical and numerical insight into how to explicitly incorporate NQEs in the representation of condensed matter systems with minimal additional degrees of freedom. Published under license by AIP Publishing.
机译:FEYNMAN的虚数路径整体方法对量子统计力学的积分方法为包括核量子效应(NQES)进行了核心效应(NQES)的理论形式主义。 sinitskiy和冒险[J.化学。物理。 143,094104(2015)]介绍了粗粒子的路径积分(CG-PI)理论,其提供了基于量子古典同构的假想时间路径积分的还原剂粗粒度表示。在本文中,提出了CG-PI理论的许多身体泛化。结果表明,遵循量子玻璃板统计的N相互作用颗粒可以表示为彼此耦合的n对古典伪颗粒的系统,类似于对一个体理论的伪粒子对。此外,我们提出了一种数值CG-PI(N-CG-PI)方法,其由于直接实现全身CG-PI理论的数值挑战而对伪座之间的耦合方案应用于封装方案。研究了两个液体系统的结构相关性以证明N-CG-PI方法的性能。许多身体CG-PI理论和N-CG-PI方法不仅存在许多Quantum Boltzmann统计的还原剂视图,还提供了对如何在炼细系统的表示中明确地合并NQES的理论和数值见解额外的自由度最小。通过AIP发布在许可证下发布。

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