Coarse-grained loop algorithms for Monte Carlo simulation of quantum spin systems
Statistical Mechanics
2009-11-07 v3
Abstract
Recently, Syljuasen and Sandvik proposed a new framework for constructing algorithms of quantum Monte Carlo simulation. While it includes new classes of powerful algorithms, it is not straightforward to find an efficient algorithm for a given model. Based on their framework, we propose an algorithm that is a natural extension of the conventional loop algorithm with the split-spin representation. A complete table of the vertex density and the worm-scattering probability is presented for the general XXZ model of an arbitrary S with a uniform magnetic field.
Cite
@article{arxiv.cond-mat/0205472,
title = {Coarse-grained loop algorithms for Monte Carlo simulation of quantum spin systems},
author = {Kenji Harada and Naoki Kawashima},
journal= {arXiv preprint arXiv:cond-mat/0205472},
year = {2009}
}
Comments
12 pages, 7 figures, insert a word "squared" in the first line of the caption of Fig.7 and correct the label of vertical axis of Fig.7