Discovering quasiorder parameters in the Potts model: A bridge between machine learning and critical phenomena

Yi-Lun Du, Nan Su, Konrad Tywoniuk

Machine-learning (ML) models trained on Ising spin configurations have demonstrated surprising effectiveness in classifying phases of Potts models, even when processing severely re…