Backflow Transformations via Neural Networks for Quantum Many-Body Wave Functions D Luo, BK Clark
Physical Review Letters 122 (22), 226401, 2019
140 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
94 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
63 2022 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
51 * 2021 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
50 2023 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
48 * 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
41 2021 Classical shadows for quantum process tomography on near-term quantum computers R Levy, D Luo, BK Clark
Physical Review Research 6 (1), 013029, 2024
36 2024 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
36 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
18 2018 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 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
10 2022 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
10 2021 Variational Neural-Network Ansatz for Continuum Quantum Field Theory JM Martyn, K Najafi, D Luo
Physical Review Letters 131 (8), 081601, 2023
8 2023 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
8 * 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
8 2022 Infinite Neural Network Quantum States: Entanglement and Training Dynamics D Luo, J Halverson
Machine Learning: Science and Technology, 2023
7 * 2023 Simulating quantum mechanics with a -term and an ’t Hooft anomaly on a synthetic dimension J Shen, D Luo, C Huang, BK Clark, AX El-Khadra, B Gadway, P Draper
Physical Review D 105 (7), 074505, 2022
7 2022 GenPhys: From Physical Processes to Generative Models Z Liu, D Luo, Y Xu, T Jaakkola, M Tegmark
arXiv preprint arXiv:2304.02637, 2023
6 2023 QuACK: Accelerating Gradient-Based Quantum Optimization with Koopman Operator Learning D Luo, J Shen, R Dangovski, M Soljacic
Thirty-seventh Conference on Neural Information Processing Systems, 2023
5 * 2023