We study the performance of Markov chains for the q-state ferromagnetic Potts model on random regular graphs. While the cases of the grid and the complete graph are by now well …
We give algorithms for approximating the partition function of the ferromagnetic $ q $-color Potts model on graphs of maximum degree $ d $. Our primary contribution is a fully …
A Blanca, R Gheissari - 2023 IEEE 64th Annual Symposium on …, 2023 - ieeexplore.ieee.org
Sampling from the q-state ferromagnetic Potts model is a fundamental question in statistical physics, probability theory, and theoretical computer science. On general graphs, this …
R Gheissari, A Sinclair - Proceedings of the 54th Annual ACM SIGACT …, 2022 - dl.acm.org
Glauber dynamics on spin systems are well known to suffer exponential slowdowns at low temperatures due to the emergence of multiple metastable phases, separated by narrow …
We consider the problem of sampling from the ferromagnetic $ q $-state Potts model on the random $ d $-regular graph with parameter $\beta> 0$. A key difficulty that arises in …
We consider the performance of Glauber dynamics for the random cluster model with real parameter $ q> 1$ and temperature $\beta> 0$. Recent work by Helmuth, Jenssen and …
A Blanca, A Sinclair, X Zhang - Combinatorics, Probability and …, 2022 - cambridge.org
The random-cluster model is a unifying framework for studying random graphs, spin systems and electrical networks that plays a fundamental role in designing efficient Markov Chain …
A Blanca, R Gheissari - Probability Theory and Related Fields, 2024 - Springer
Sampling from the q-state ferromagnetic Potts model is a fundamental question in statistical physics, probability theory, and theoretical computer science. On general graphs, this …
Sampling from the $ q $-state ferromagnetic Potts model is a fundamental question in statistical physics, probability theory, and theoretical computer science. On general graphs …