Multibondic Cluster Algorithm for Monte Carlo Simulations of First-Order Phase Transitions
Wolfhard Janke, Stefan Kappler
Abstract
Inspired by the multicanonical approach to simulations of first-order phase transitions we propose for q-state Potts models a combination of cluster updates with reweighting of the bond configurations in the Fortuin-Kastelein-Swendsen-Wang representation of this model. Numerical tests for the two-dimensional models with q=7, 10 and 20 show that the autocorrelation times of this algorithm grow with the system size V as τ Vα, where the exponent takes the optimal random walk value of α≈ 1.
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