激发态计算与量子蒙特卡罗

J. Feldt, C. Filippi
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引用次数: 10

摘要

量子蒙特卡罗方法是一种近似随机求解薛定谔方程的第一性原理方法。与传统的量子化学方法相比,它们具有重要的优势,例如处理各种多体波函数的能力,粒子数量的良好标度,以及特别适合现代大规模并行计算机的算法的内在并行性。在本章中,我们将重点介绍两种最广泛用于电子结构问题的量子蒙特卡罗方法,即变分蒙特卡罗方法和扩散蒙特卡罗方法。我们特别关注波函数优化技术的最新进展,这是在基态和激发态都获得准确结果的一个具有挑战性和重要的步骤。最后,我们概述了分子系统激发态计算的现状,展示了量子蒙特卡罗方法在这一应用领域的潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Excited‐State Calculations with Quantum Monte Carlo
Quantum Monte Carlo methods are first-principle approaches that approximately solve the Schrodinger equation stochastically. As compared to traditional quantum chemistry methods, they offer important advantages such as the ability to handle a large variety of many-body wave functions, the favorable scaling with the number of particles, and the intrinsic parallelism of the algorithms which are particularly suitable to modern massively parallel computers. In this chapter, we focus on the two quantum Monte Carlo approaches most widely used for electronic structure problems, namely, the variational and diffusion Monte Carlo methods. We give particular attention to the recent progress in the techniques for the optimization of the wave function, a challenging and important step to achieve accurate results in both the ground and the excited state. We conclude with an overview of the current status of excited-state calculations for molecular systems, demonstrating the potential of quantum Monte Carlo methods in this field of applications.
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