4 citations · 4 across the 5 of their papers we have counts for
5 papers
Inequalities, identities, and bounds for divided differences of the exponential function
Qiulin Zeng, Nicholas Ezzell, Arman Babakhani +2
Let denote the divided difference of the exponential function. (i) We prove that exponential divided differences are log-submodular. (ii) We establish the…
Advanced measurement techniques in quantum Monte Carlo: The permutation matrix representation approach
Nic Ezzell, Itay Hen
In a typical finite temperature quantum Monte Carlo (QMC) simulation, estimators for simple static observables such as specific heat and magnetization are known. With a great deal…
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…
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…
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…