Paper Info
Title
mVMC - Open-source software for many-variable variational Monte Carlo method.
Abstract
mVMC (many-variable Variational Monte Carlo) is an open-source software package based on the variational Monte Carlo method applicable for a wide range of Hamiltonians for interacting fermion systems. In mVMC, we introduce more than ten thousands variational parameters and simultaneously optimize them by using the stochastic reconfiguration (SR) method. In this paper, we explain basics and user interfaces of mVMC. By using mVMC, users can perform the calculation by preparing only one input file of about ten lines for widely studied quantum lattice models, and can also perform it for general Hamiltonians by preparing several additional input files. We show the benchmark results of mVMC for the Hubbard model, the Heisenberg model, and the Kondo-lattice model. These benchmark results demonstrate that mVMC provides ground-state and low-energy-excited-state wave functions for interacting fermion systems with high accuracy.
Year
DOI
Venue
2019
10.1016/j.cpc.2018.08.014
Computer Physics Communications
Keywords
Field
DocType
Numerical linear algebra,Lattice fermion models,Variational Monte Carlo method
Statistical physics,Hubbard model,Kondo model,Mathematical analysis,Wave function,Variational Monte Carlo,ScaLAPACK,Heisenberg model,Application software,Numerical linear algebra,Mathematics
Journal
Volume
ISSN
Citations 
235
0010-4655
1
PageRank 
References 
Authors
0.37
2
9
Name
Order
Citations
PageRank
Takahiro Misawa121.21
Satoshi Morita210.71
Kazuyoshi Yoshimi322.56
Mitsuaki Kawamura410.71
Yuichi Motoyama510.37
Kota Ido610.37
Takahiro Ohgoe710.37
Masatoshi Imada810.71
Takeo Kato910.71