Nicholas Ezzell

University of Southern California — United States

Computer Science · Physical Sciences

3h-index51citations5works9.72yr avg
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Research Topics

Quantum Information and Cryptography(2), Quantum and electron transport phenomena(2), Quantum Computing Algorithms and Architecture(2), Forecasting Techniques and Applications(1), Quantum, superfluid, helium dynamics(1)

Publications5 total

Detecting Quantum and Classical Phase Transitions via Unsupervised Machine Learning of the Fisher Information Metric
arXiv (Cornell University)·2024Open Access
ClassiFIM: An Unsupervised Method To Detect Phase Transitions
arXiv (Cornell University)·2024Open Access
Dynamical simulation via quantum machine learning with provable generalization
Physical Review Research·2024· 29 citedOpen Access
Dynamical simulation via quantum machine learning with provable generalization
arXiv (Cornell University)·2022· 15 citedOpen Access
Out-of-distribution generalization for learning quantum dynamics
arXiv (Cornell University)·2022· 7 citedOpen Access

Frequent Co-authors

Joe Gibbs(3), Zoë Holmes(3), C. Matthias(3), Łukasz Cincio(3), Andrew Sornborger(3), Patrick J. Coles(3), Hsin-Yuan Huang(2), Victor Kasatkin(2), Evgeny Mozgunov(2), Daniel Lidar(2), Hsin-Yuan Huang(1), Utkarsh Mishra(1), Itay Hen(1)