Generalizes exponential slow mixing of Glauber dynamics from Ising to multi-state Potts models and gives a polymer-model based deterministic approximation algorithm for the partition function on random regular bipartite graphs in the low-temperature non-uniqueness regime.
Deterministic approximate counting of colorings with fewer than
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Counting and Sampling Anti-Ferromagnetic Potts Models on Random Regular Bipartite Graphs in the Non-uniqueness Regime
Generalizes exponential slow mixing of Glauber dynamics from Ising to multi-state Potts models and gives a polymer-model based deterministic approximation algorithm for the partition function on random regular bipartite graphs in the low-temperature non-uniqueness regime.