Machine learning vortices at the Kosterlitz-Thouless transition MJS Beach, A Golubeva, RG Melko Physical Review B 97 (4), 045207, 2018 | 191 | 2018 |
Super-resolving the Ising model with convolutional neural networks S Efthymiou, MJS Beach, RG Melko Physical Review B 99 (7), 075113, 2019 | 65 | 2019 |
QuCumber: wavefunction reconstruction with neural networks MJS Beach, I De Vlugt, A Golubeva, P Huembeli, B Kulchytskyy, X Luo, ... SciPost Physics 7 (1), 009, 2019 | 41 | 2019 |
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 | 37 | 2019 |
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 | 30 | 2016 |
Self-force on a charge outside a five-dimensional black hole MJS Beach, E Poisson, BG Nickel Physical Review D 89 (12), 124014, 2014 | 22 | 2014 |
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 |