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Binary tree summation Monte Carlo method for Potts models

Jian-Sheng Wang·Oner Kozan·Robert H. Swendsen
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Abstract

We give a new sampling algorithm for the Potts model based on the Fortuin-Kasteleyn transformation. The method produces independent samples and sums up a large number of configurations for each sweep. The partition function and thermodynamic averages for all values of the temperature can be computed from a single run. We compare the results with exact 2D Ising model.

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Jian-Sheng Wang, Oner Kozan, Robert H. Swendsen. 2002-03-12. Binary tree summation Monte Carlo method for Potts models. https://arxiv.org/abs/cond-mat/0203264

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