Backflow Transformations via Neural Networks for Quantum Many-Body Wave Functions D Luo, BK Clark
Physical Review Letters 122 (22), 226401, 2019
168 2019 Deep Learning Enabled Strain Mapping of Single-Atom Defects in Two-Dimensional Transition Metal Dichalcogenides with Sub-Picometer Precision CH Lee, A Khan, D Luo, TP Santos, C Shi, BE Janicek, S Kang, W Zhu, ...
Nano Letters 20 (5), 3369-3377, 2020
111 2020 Autoregressive neural network for simulating open quantum systems via a probabilistic formulation D Luo, Z Chen, J Carrasquilla, BK Clark
Physical review letters 128 (9), 090501, 2022
95 * 2022 Classical shadows for quantum process tomography on near-term quantum computers R Levy, D Luo, BK Clark
Physical Review Research 6 (1), 013029, 2024
83 2024 Gauge-invariant and anyonic-symmetric autoregressive neural network for quantum lattice models D Luo, Z Chen, K Hu, Z Zhao, VM Hur, BK Clark
Physical Review Research 5 (1), 013216, 2023
63 * 2023 Probabilistic simulation of quantum circuits with the Transformer J Carrasquilla, D Luo, F Pérez, A Milsted, BK Clark, M Volkovs, L Aolita
Physical Review A 104 (3), 032610, 2021
62 * 2021 Framework for simulating gauge theories with dipolar spin systems D Luo, J Shen, M Highman, BK Clark, B DeMarco, AX El-Khadra, ...
Physical Review A 102 (3), 032617, 2020
62 * 2020 Gauge equivariant neural networks for quantum lattice gauge theories D Luo, G Carleo, BK Clark, J Stokes
Physical Review Letters 127 (27), 276402, 2021
56 2021 Protocol Discovery for the Quantum Control of Majoranas by Differentiable Programming and Natural Evolution Strategies L Coopmans, D Luo, G Kells, BK Clark, J Carrasquilla
PRX Quantum 2 (2), 020332, 2021
44 * 2021 Beyond many-body localized states in a spin-disordered Hubbard model X Yu, D Luo, BK Clark
Physical Review B 98 (11), 115106, 2018
22 2018 Gauge Equivariant Neural Networks for 2+ 1D U (1) Gauge Theory Simulations in Hamiltonian Formulation D Luo, S Yuan, J Stokes, BK Clark
NeurIPS 2022 AI for Science Workshop, 2022
17 2022 ANTN: Bridging Autoregressive Neural Networks and Tensor Networks for Quantum Many-Body Simulation Z Chen, L Newhouse, E Chen, D Luo, M Soljacic
Thirty-seventh Conference on Neural Information Processing Systems, 2023
15 * 2023 Simulating 2+ 1D Lattice Quantum Electrodynamics at Finite Density with Neural Flow Wavefunctions Z Chen, D Luo, K Hu, BK Clark
arXiv preprint arXiv:2212.06835, 2022
15 2022 QuACK: accelerating gradient-based quantum optimization with koopman operator learning D Luo, J Shen, R Dangovski, M Soljacic
Advances in Neural Information Processing Systems 36, 2024
14 * 2024 Variational Neural-Network Ansatz for Continuum Quantum Field Theory JM Martyn, K Najafi, D Luo
Physical Review Letters 131 (8), 081601, 2023
14 2023 Spacetime Neural Network for High Dimensional Quantum Dynamics J Wang, Z Chen, D Luo, Z Zhao, VM Hur, BK Clark
38th International Conference on Machine Learning Workshop on ”Beyond first …, 2021
13 2021 GenPhys: From Physical Processes to Generative Models Z Liu, D Luo, Y Xu, T Jaakkola, M Tegmark
arXiv preprint arXiv:2304.02637, 2023
11 2023 Finite-volume pionless effective field theory for few-nucleon systems with differentiable programming X Sun, W Detmold, D Luo, PE Shanahan
Physical Review D 105 (7), 074508, 2022
11 2022 Infinite neural network quantum states: entanglement and training dynamics D Luo, J Halverson
Machine Learning: Science and Technology 4 (2), 025038, 2023
10 * 2023 Simulating quantum mechanics with a J Shen, D Luo, C Huang, BK Clark, AX El-Khadra, B Gadway, P Draper
Physical Review D 105 (7), 074505, 2022
9 2022 