Worm Algorithm for Abelian Gauge-Higgs Models
High Energy Physics - Lattice
2013-04-12 v1 Statistical Mechanics
Abstract
We present the surface worm algorithm (SWA) which is a generalization of the Prokof'ev Svistunov worm algorithm to perform the simulation of the dual representation (surfaces and loops) of Abelian gauge-Higgs models on a lattice. We compare the SWA to a local Metropolis update in the dual representation and show that the SWA outperforms the local update for a wide range of parameters.
Cite
@article{arxiv.1304.3278,
title = {Worm Algorithm for Abelian Gauge-Higgs Models},
author = {Ydalia Delgado and Alexander Schmidt},
journal= {arXiv preprint arXiv:1304.3278},
year = {2013}
}
Comments
6 pages, 6 figures. Proceedings for "Excited QCD 2013", Sarajevo, 03-09 Feb, 2013