Worm Algorithm for Abelian Gauge-Higgs Models
classification
✦ hep-lat
cond-mat.stat-mech
keywords
algorithmwormabeliandualgauge-higgslocalmodelsrepresentation
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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.
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