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Xian Wang
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Harnessing deep neural networks to solve inverse problems in quantum dynamics: machine-learned predictions of time-dependent optimal control fields
X Wang, A Kumar, CR Shelton, BM Wong
Physical Chemistry Chemical Physics 22 (40), 22889-22899, 2020
232020
NIC-CAGE: An open-source software package for predicting optimal control fields in photo-excited chemical systems
A Raza, C Hong, X Wang, A Kumar, CR Shelton, BM Wong
Computer Physics Communications 258, 107541, 2021
172021
Harnessing deep reinforcement learning to construct time-dependent optimal fields for quantum control dynamics
Y Gao, X Wang, N Yu, BM Wong
Physical Chemistry Chemical Physics 24 (39), 24012-24020, 2022
102022
Memory-Efficient Differentiable Programming for Quantum Optimal Control of Discrete Lattices
X Wang, P Kairys, SHK Narayanan, J Hückelheim, P Hovland
2022 IEEE/ACM Third International Workshop on Quantum Computing Software …, 2022
32022
TRAVOLTA: GPU acceleration and algorithmic improvements for constructing quantum optimal control fields in photo-excited systems
JM Rodríguez-Borbón, X Wang, AP Diéguez, KZ Ibrahim, BM Wong
Computer Physics Communications 296, 109017, 2024
22024
Accelerating quantum optimal control of multi-qubit systems with symmetry-based Hamiltonian transformations
X Wang, MS Okyay, A Kumar, BM Wong
AVS Quantum Science 5 (4), 2023
12023
Advanced experimental and computational approaches for advanced reduction of per-and polyfluoroalkyl substances
S Biswas, X Wang, BM Wong
Current Opinion in Chemical Engineering 44, 101017, 2024
2024
Accelerating the Quantum Optimal Control of Large Qubit Systems with Symmetry-based Hamiltonian Transformations and Linear Unitary Propagators
X Wang, B Wong, A Kumar
Bulletin of the American Physical Society, 2023
2023
Accelerating the Quantum Optimal Control of Multi-Qubit Systems With Symmetry-Based
X Wang
2023
YIG/Permalloy spin torque oscillator
B Arkook, C Safranski, R Rodriguez, X Wang, H Chang, M Wu, ...
Bulletin of the American Physical Society, 2018
2018
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Articles 1–10