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Observations on variational and projector Monte Carlo methods

Journal Article · · Journal of Chemical Physics
DOI:https://doi.org/10.1063/1.4933112· OSTI ID:1469560
 [1]
  1. Cornell Univ., Ithaca, NY (United States). Laboratory of Atomic and Solid State Physics; Laboratory of Atomic and Solid State Physics, Cornell University, Ithaca, New York 14853
In this work, variational Monte Carlo and various projector Monte Carlo (PMC) methods are presented in a unified manner. Similarities and differences between the methods and choices made in designing the methods are discussed. Both methods where the Monte Carlo walk is performed in a discrete space and methods where it is performed in a continuous space are considered. It is pointed out that the usual prescription for importance sampling may not be advantageous depending on the particular quantum Monte Carlo method used and the observables of interest, so alternate prescriptions are presented. The nature of the sign problem is discussed for various versions of PMC methods. A prescription for an exact PMC method in real space, i.e., a method that does not make a fixed-node or similar approximation and does not have a finite basis error, is presented. This method is likely to be practical for systems with a small number of electrons. Lastly, approximate PMC methods that are applicable to larger systems and go beyond the fixed-node approximation are also discussed.
Research Organization:
Cornell Univ., Ithaca, NY (United States)
Sponsoring Organization:
USDOE Office of Science (SC)
Grant/Contract Number:
SC0006650
OSTI ID:
1469560
Alternate ID(s):
OSTI ID: 1224329
OSTI ID: 22493144
Journal Information:
Journal of Chemical Physics, Journal Name: Journal of Chemical Physics Journal Issue: 16 Vol. 143; ISSN JCPSA6; ISSN 0021-9606
Publisher:
American Institute of Physics (AIP)Copyright Statement
Country of Publication:
United States
Language:
English

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Cited By (10)

Improved walker population control for full configuration interaction quantum Monte Carlo journal November 2020
Stochastic differential equation approach to understanding the population control bias in full configuration interaction quantum Monte Carlo text January 2021
Ab-initio Quantum Monte Carlo study of ultracold atomic mixtures preprint January 2021
Complementary first and second derivative methods for ansatz optimization in variational Monte Carlo journal January 2019
Driven-dissipative quantum Monte Carlo method for open quantum systems journal May 2018
Infinite variance in fermion quantum Monte Carlo calculations journal March 2016
Projector Quantum Monte Carlo Method for Nonlinear Wave Functions journal April 2017
Variational Excitations in Real Solids: Optical Gaps and Insights into Many-Body Perturbation Theory journal July 2019
Projector Quantum Monte Carlo Method for Nonlinear Wave Functions text January 2017
Infinite Variance in Fermion Quantum Monte Carlo Calculations text January 2015

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