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cs.LG2024
ClassiFIM: An Unsupervised Method To Detect Phase Transitions
Victor Kasatkin, Evgeny Mozgunov, Nicholas Ezzell +3
Estimation of the Fisher Information Metric (FIM-estimation) is an important task that arises in unsupervised learning of phase transitions, a problem proposed by physicists. This…
cond-mat.stat-mech2024★ 4 cited
A universal black-box quantum Monte Carlo approach to quantum phase transitions
Nic Ezzell, Lev Barash, Itay Hen
We derive exact, universal, closed-form quantum Monte Carlo estimators for finite-temperature energy susceptibility and fidelity susceptibility, applicable to essentially arbitrary…