MULTIBONDIC CLUSTER ALGORITHM

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 Fo rtuin-Kastelein-Swendsen-Wang representation of this model. Numerical tests for the two-dimensional models with q = 7, 10 and 20 show that t he autocorrelation times of this algorithm grow with the system size V as tau proportional to V-alpha, where the exponent takes the optimal random walk value of alpha approximate to 1.