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Reducing the complexity of finite-temperature auxiliary-field quantum Monte Carlo

Journal Article · · Computer Physics Communications
 [1];  [2];  [2]
  1. University of Washington, Seattle, WA (United States); OSTI
  2. Yale University, New Haven, CT (United States)
The auxiliary-field quantum Monte Carlo (AFMC) method is a powerful and widely used technique for ground-state and finite-temperature simulations of quantum many-body systems. Here we introduce several algorithmic improvements for finite-temperature AFMC calculations of dilute fermionic systems that reduce the computational complexity of most parts of the algorithm. This is principally achieved by reducing the number of single-particle states that contribute at each configuration of the auxiliary fields to a number that is of the order of the number of fermions. Our methods are applicable for both the canonical and grand-canonical ensembles. We demonstrate the reduced computational complexity of the methods for the homogeneous unitary Fermi gas.
Research Organization:
University of Washington, Seattle, WA (United States); Yale University, New Haven, CT (United States)
Sponsoring Organization:
USDOE; USDOE Office of Science (SC)
Grant/Contract Number:
AC02-05CH11231; FG02-00ER41132; FG02-91ER40608; SC0019521
OSTI ID:
1849345
Alternate ID(s):
OSTI ID: 1782011
Journal Information:
Computer Physics Communications, Journal Name: Computer Physics Communications Journal Issue: C Vol. 264; ISSN 0010-4655
Publisher:
ElsevierCopyright Statement
Country of Publication:
United States
Language:
English

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