Key Laboratory of Theoretical and Computational Photochemistry, Ministry of Education, College of Chemistry, Beijing Normal University, Beijing 100875, China.
J Chem Phys. 2019 Dec 28;151(24):244114. doi: 10.1063/1.5128719.
Treating electron correlation more accurately and efficiently is at the heart of the development of electronic structure methods. In the present work, we explore the use of stochastic approaches to evaluate high-order electron correlation energies, whose conventional computational scaling is unpleasantly steep, being O(N) with respect to the system size N and the perturbation order n for the Møller-Plesset (MP) series. To this end, starting from Goldstone's time-dependent formulation of ab initio many-body perturbation theory (MBPT), we present a reformulation of MBPT, which naturally leads to a Monte Carlo scheme with O(nN + nN + f(n)) scaling at each step, where f(n) is a function of n depending on the specific numerical scheme. Proof-of-concept calculations demonstrate that the proposed quantum Monte Carlo algorithm successfully extends the previous Monte Carlo approaches for MP2 and MP3 to higher orders by overcoming the factorial scaling problem. For the first time, Goldstone's time-dependent formulation is made useful numerically for electron correlation energies, not only being purely as a theoretical tool.
更准确和有效地处理电子相关是发展电子结构方法的核心。在本工作中,我们探索了使用随机方法来评估高阶电子相关能,其常规计算复杂度令人不快地陡峭,对于 Møller-Plesset(MP)级数而言,其计算复杂度是 O(N)与系统大小 N 和微扰阶数 n 的函数。为此,从 Goldstone 的从头算多体微扰理论(MBPT)的时间相关表述出发,我们提出了一种 MBPT 的重表述,它自然导致了在每个步骤中具有 O(nN + nN + f(n))复杂度的蒙特卡罗方案,其中 f(n)是依赖于具体数值方案的 n 的函数。概念验证计算表明,所提出的量子蒙特卡罗算法通过克服阶乘复杂度问题,成功地将之前用于 MP2 和 MP3 的蒙特卡罗方法扩展到更高阶。Goldstone 的时间相关表述首次在电子相关能的数值计算中变得有用,而不仅仅是作为一种理论工具。