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Matthew J. S. Beach
Matthew J. S. Beach
Applied Scientist, AWS
Zweryfikowany adres z amazon.com - Strona główna
Tytuł
Cytowane przez
Cytowane przez
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Machine learning vortices at the Kosterlitz-Thouless transition
MJS Beach, A Golubeva, RG Melko
Physical Review B 97 (4), 045207, 2018
1942018
Super-resolving the Ising model with convolutional neural networks
S Efthymiou, MJS Beach, RG Melko
Physical Review B 99 (7), 075113, 2019
742019
QuCumber: wavefunction reconstruction with neural networks
MJS Beach, IJS De Vlugt, A Golubeva, P Huembeli, B Kulchytskyy, X Luo, ...
SciPost Physics 7 (1), 009, 2019
422019
Making Trotters Sprint: A Variational Imaginary Time Ansatz for Quantum Many-body Systems
MJS Beach, RG Melko, T Grover, TH Hsieh
Physical Review B 100 (9), 094434, 2019
382019
Entanglement entropy from one-point functions in holographic states
MJS Beach, J Lee, C Rabideau, M Van Raamsdonk
Journal of High Energy Physics 2016 (6), 1-29, 2016
302016
Self-force on a charge outside a five-dimensional black hole
MJS Beach, E Poisson, BG Nickel
Physical Review D 89 (12), 124014, 2014
222014
Resource-Optimized Grouping Shadow for Efficient Energy Estimation
M Li, M Lin, MJS Beach
https://arxiv.org/abs/2406.17252, 2024
2024
Explorations in machine learning for interacting many-body systems
MJS Beach
University of Waterloo, 2020
2020
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