Worm Algorithm for Continuous-space Path Integral Monte Carlo Simulations
Statistical Mechanics
2009-11-11 v4
Abstract
We present a new approach to path integral Monte Carlo (PIMC) simulations based on the worm algorithm, originally developed for lattice models and extended here to continuous-space many-body systems. The scheme allows for efficient computation of thermodynamic properties, including winding numbers and off-diagonal correlations, for systems of much greater size than that accessible to conventional PIMC. As an illustrative application of the method, we simulate the superfluid transition of Helium-four in two dimensions.
Cite
@article{arxiv.cond-mat/0510214,
title = {Worm Algorithm for Continuous-space Path Integral Monte Carlo Simulations},
author = {M. Boninsegni and N. Prokof'ev and B. Svistunov},
journal= {arXiv preprint arXiv:cond-mat/0510214},
year = {2009}
}
Comments
Fig. 2 differs from that of published version (includes data for larger system sizes)