Efficient sampling and counting algorithms for the Potts model on ℤᵈ at all temperatures

Christian Borgs, Jennifer T. Chayes, Tyler Helmuth, Will Perkins, Prasad Tetali. Efficient sampling and counting algorithms for the Potts model on ℤᵈ at all temperatures. In Konstantin Makarychev, Yury Makarychev, Madhur Tulsiani, Gautam Kamath 0001, Julia Chuzhoy, editors, Proccedings of the 52nd Annual ACM SIGACT Symposium on Theory of Computing, STOC 2020, Chicago, IL, USA, June 22-26, 2020. pages 738-751, ACM, 2020. [doi]

@inproceedings{BorgsCHPT20,
  title = {Efficient sampling and counting algorithms for the Potts model on ℤᵈ at all temperatures},
  author = {Christian Borgs and Jennifer T. Chayes and Tyler Helmuth and Will Perkins and Prasad Tetali},
  year = {2020},
  doi = {10.1145/3357713.3384271},
  url = {https://doi.org/10.1145/3357713.3384271},
  researchr = {https://researchr.org/publication/BorgsCHPT20},
  cites = {0},
  citedby = {0},
  pages = {738-751},
  booktitle = {Proccedings of the 52nd Annual ACM SIGACT Symposium on Theory of Computing, STOC 2020, Chicago, IL, USA, June 22-26, 2020},
  editor = {Konstantin Makarychev and Yury Makarychev and Madhur Tulsiani and Gautam Kamath 0001 and Julia Chuzhoy},
  publisher = {ACM},
  isbn = {978-1-4503-6979-4},
}