Title: A random-sampling method as an efficient alternative to variational Monte Carlo for solving Gutzwiller wavefunctions

Journal Article · · Journal of Physics Communications
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Abstract We present a random-sampling (RS) method for evaluating expectation values of physical quantities using the variational approach. We demonstrate that the RS method is computationally more efficient than the variational Monte Carlo method using the Gutzwiller wavefunctions applied on single-band Hubbard models as an example. Non-local constraints can also been easily implemented in the current scheme that capture the essential physics in the limit of strong on-site repulsion. In addition, we extend the RS method to study the antiferromagnetic states with multiple variational parameters for 1D and 2D Hubbard models.

Research Organization:
Ames Laboratory (AMES), Ames, IA (United States)
Sponsoring Organization:
USDOE; USDOE Office of Science (SC), Basic Energy Sciences (BES). Materials Sciences & Engineering Division
Grant/Contract Number:
AC02-07CH11358
OSTI ID:
1834413
Report Number(s):
IS-J-10,671
Journal Information:
Journal of Physics Communications, Journal Name: Journal of Physics Communications Journal Issue: 12 Vol. 5; ISSN 2399-6528
Publisher:
IOP PublishingCopyright Statement
Country of Publication:
United Kingdom
Language:
English

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