Worm algorithms for the 3-state Potts model with magnetic field and chemical potential

Abstract

We discuss worm algorithms for the 3-state Potts model with external field and chemical potential. The complex phase problem of this system can be overcome by using a flux representation where the new degrees of freedom are dimer and monomer variables. Working with this representation we discuss two different generalizations of the conventional Prokof'ev-Svistunov algorithm suitable for Monte Carlo simulations of the model at arbitrary chemical potential and evaluate their performance.

23 pages, 8 figures

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Cited by in corpus (2)

• Surface worm algorithm for abelian Gauge-Higgs systems on the lattice
• A novel density of state method for complex action systems