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Title: The HANDE-QMC Project: Open-Source Stochastic Quantum Chemistry from the Ground State Up

Journal Article · · Journal of Chemical Theory and Computation
 [1];  [2];  [3];  [3]; ORCiD logo [3]; ORCiD logo [4];  [3];  [5]; ORCiD logo [6]; ORCiD logo [3]; ORCiD logo [7];  [1]; ORCiD logo [3];  [8];  [1];  [1];  [9]; ORCiD logo [10]
  1. Imperial College, London (United Kingdom)
  2. Univ. Chemical Lab., Cambridge (United Kingdom); St. John's College, Cambridge (United Kingdom)
  3. Univ. Chemical Lab., Cambridge (United Kingdom)
  4. Imperial College, London (United Kingdom); Univ. of Illinois, Urbana-Champaign, IL (United States)
  5. Univ. of Cambridge (United Kingdom). Cavendish Lab.; Kavli Inst. for Cosmology, Cambridge (United Kingdom); Gonville & Caius College, Cambridge (United Kingdom)
  6. Imperial College, London (United Kingdom); Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
  7. Univ. of Tromso (Norway); Virginia Polytechnic Inst. and State Univ. (Virginia Tech), Blacksburg, VA (United States)
  8. Univ. of Iowa, Iowa City, IA (United States)
  9. Univ. of Science and Technology, Hefei (China)
  10. Univ. Chemical Lab., Cambridge (United Kingdom); Imperial College, London (United Kingdom)

Building on the success of Quantum Monte Carlo techniques such as diffusion Monte Carlo, alternative stochastic approaches to solve electronic structure problems have emerged over the past decade. The full configuration interaction quantum Monte Carlo (FCIQMC) method allows one to systematically approach the exact solution of such problems, for cases where very high accuracy is desired. The introduction of FCIQMC has subsequently led to the development of coupled cluster Monte Carlo (CCMC) and density matrix quantum Monte Carlo (DMQMC), allowing stochastic sampling of the coupled cluster wave function and the exact thermal density matrix, respectively. In this Article, we describe the HANDE-QMC code, an open-source implementation of FCIQMC, CCMC and DMQMC, including initiator and semistochastic adaptations. We describe our code and demonstrate its use on three example systems; a molecule (nitric oxide), a model solid (the uniform electron gas), and a real solid (diamond). An illustrative tutorial is also included.

Research Organization:
Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)
Sponsoring Organization:
USDOE National Nuclear Security Administration (NNSA)
Grant/Contract Number:
AC52-07NA27344
OSTI ID:
1526160
Report Number(s):
LLNL-JRNL--768899; 957132
Journal Information:
Journal of Chemical Theory and Computation, Journal Name: Journal of Chemical Theory and Computation Journal Issue: 3 Vol. 15; ISSN 1549-9618
Publisher:
American Chemical SocietyCopyright Statement
Country of Publication:
United States
Language:
English

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Cited By (8)

Improved walker population control for full configuration interaction quantum Monte Carlo journal November 2020
An optimized twist angle to find the twist-averaged correlation energy applied to the uniform electron gas text January 2019
Using density matrix quantum Monte Carlo for calculating exact-on-average energies for ab-initio Hamiltonians in a finite basis set preprint January 2019
An optimized twist angle to find the twist-averaged correlation energy applied to the uniform electron gas journal May 2019
An auxiliary-Field quantum Monte Carlo perspective on the ground state of the dense uniform electron gas: An investigation with Hartree-Fock trial wavefunctions journal August 2019
Stochastic perturbation theory in a limited configuration space journal September 2019
Dataset for “Piecewise Interaction Picture Density Matrix Quantum Monte Carlo” dataset January 2022
An optimized twist angle to find the twist-averaged correlation energy applied to the uniform electron gas text January 2019