Green Function Monte Carlo with Stochastic Reconfiguration
Condensed Matter
2009-10-31 v1
Abstract
A new method for the stabilization of the sign problem in the Green Function Monte Carlo technique is proposed. The method is devised for real lattice Hamiltonians and is based on an iterative ''stochastic reconfiguration'' scheme which introduces some bias but allows a stable simulation with constant sign. The systematic reduction of this bias is in principle possible. The method is applied to the frustrated J1-J2 Heisenberg model, and tested against exact diagonalization data. Evidence of a finite spin gap for J2/J1 >~ 0.4 is found in the thermodynamic limit.
Cite
@article{arxiv.cond-mat/9803107,
title = {Green Function Monte Carlo with Stochastic Reconfiguration},
author = {S. Sorella},
journal= {arXiv preprint arXiv:cond-mat/9803107},
year = {2009}
}
Comments
13 pages, RevTeX + 3 encapsulated postscript figures