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Nic Ezzell
Nic Ezzell
Physics PhD Candidate, University of Southern California
Bestätigte E-Mail-Adresse bei usc.edu
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Zitiert von
Zitiert von
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Out-of-distribution generalization for learning quantum dynamics
MC Caro, HY Huang, N Ezzell, J Gibbs, AT Sornborger, L Cincio, ...
Nature Communications 14 (1), 3751, 2023
512023
Dynamical decoupling for superconducting qubits: a performance survey
N Ezzell, B Pokharel, L Tewala, G Quiroz, DA Lidar
Physical Review Applied 20 (6), 064027, 2023
50*2023
Dynamical simulation via quantum machine learning with provable generalization
J Gibbs, Z Holmes, MC Caro, N Ezzell, HY Huang, L Cincio, ...
Physical Review Research 6 (1), 013241, 2024
242024
Modeling the early stages of phase separation in disordered elastin-like proteins
Y Zhang, V Zai-Rose, CJ Price, NA Ezzell, GL Bidwell, JJ Correia, ...
Biophysical Journal 114 (7), 1563-1578, 2018
182018
Quantum mixed state compiling
N Ezzell, EM Ball, AU Siddiqui, MM Wilde, AT Sornborger, PJ Coles, ...
Quantum Science and Technology 8 (3), 035001, 2023
172023
The quantum low-rank approximation problem
N Ezzell, Z Holmes, PJ Coles
arXiv preprint arXiv:2203.00811, 2022
52022
Using quantum Monte Carlo to study quantum phase transitions
N Ezzell, L Barash, I Hen
Bulletin of the American Physical Society, 2024
2024
Bitstring-ChiFc: machine learning Fisher Information Metric from bitstrings
V Kasatkin, I Hen, N Ezzell, U Mishra, D Lidar, L Gupta, E Mozgunov
APS March Meeting Abstracts 2023, T60. 010, 2023
2023
Exploring and improving the uses of near-term quantum annealers
N Ezzell
2019
Sidedness and Heigh-Offset Effects on the 2D Self-Assembly of the Hexagonal Tiles of Bacterial Microcompartments
N Ezzell, P Doak, A Maksov, M Ziatdinov, M Fuentes-Cabrera, JP Mahalik
APS March Meeting Abstracts 2018, R48. 008, 2018
2018
Improving the Performance of Simulations of the Intrinsically Disordered N-Terminal Domain from P53
NA Ezzell, Y Zhang, ST Whitten, NC Fitzkee
Biophysical Journal 112 (3), 207a-208a, 2017
2017
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