2 papers
quant-ph2024
Detecting Quantum and Classical Phase Transitions via Unsupervised Machine Learning of the Fisher Information Metric
Victor Kasatkin, Evgeny Mozgunov, Nicholas Ezzell +1
The detection of quantum and classical phase transitions in the absence of an order parameter is possible using the Fisher information metric (FIM), also known as fidelity suscepti…
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…