Model-free quantum gate design and calibration using deep reinforcement learning O Shindi, Q Yu, P Girdhar, D Dong IEEE Transactions on Artificial Intelligence 5 (1), 346-357, 2023 | 12 | 2023 |
Filtering for a class of quantum systems with classical stochastic disturbances Q Yu, D Dong, I Petersen, M Emzir, Q Gao IEEE Transactions on Control Systems Technology 27 (6), 2774-2780, 2018 | 11 | 2018 |
On the capability of a class of quantum sensors Q Yu, Y Wang, D Dong, IR Petersen Automatica 129, 109612, 2021 | 10 | 2021 |
Hybrid filtering for a class of nonlinear quantum systems subject to classical stochastic disturbances Q Yu, D Dong, IR Petersen IEEE Transactions on Cybernetics 52 (2), 1073-1085, 2020 | 9 | 2020 |
Adaptive quantum process tomography via linear regression estimation Q Yu, D Dong, Y Wang, IR Petersen 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2020 | 6 | 2020 |
Quantum filtering for a qubit system subject to classical disturbances Q Yu, D Dong, I Petersen 2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2018 | 5 | 2018 |
Hybrid filtering for a class of quantum systems with classical disturbances Q Yu, D Dong, IR Petersen, Q Gao IFAC-PapersOnLine 50 (1), 11738-11743, 2017 | 5 | 2017 |
Generation of accessible sets for a class of quantum spin networks* Q Yu, Y Wang, D Dong, GY Xiang 2019 IEEE International Conference on Systems, Man and Cybernetics (SMC …, 2019 | 4 | 2019 |
A modified deep q-learning algorithm for control of two-qubit systems O Shindi, Q Yu, D Dong 2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2021 | 3 | 2021 |
Generation of accessible sets in the dynamical modeling of quantum network systems Q Yu, Y Wang, D Dong, IR Petersen, GY Xiang IEEE Transactions on Control of Network Systems 9 (2), 682-694, 2021 | 3 | 2021 |
Capability comparison of quantum sensors of single or two qubits for a spin chain system Q Yu, D Dong, Y Wang, IR Petersen IFAC-PapersOnLine 53 (2), 263-268, 2020 | 3 | 2020 |
Simultaneous estimation of parameters and the state of an optical parametric oscillator system Q Yu, S Yokoyama, D Dong, D McManus, H Yonezawa IEEE Transactions on Quantum Engineering 3, 1-9, 2022 | 2 | 2022 |
Quantum state tomography from observable time traces in closed quantum systems S Xiao, Y Wang, Q Yu, J Zhang, D Dong, IR Petersen Control Theory and Technology 22 (2), 222-234, 2024 | 1 | 2024 |
A modified Q-learning algorithm for control of two-qubit systems O Shindi, Q Yu, D Dong, J Tang 2020 International Conference on Machine Learning and Cybernetics (ICMLC …, 2020 | 1 | 2020 |
Robust Control of Uncertain Quantum Systems based on Physics-informed Neural Networks and Sampling Learning K Zhang, Q Yu, S Kuang IEEE Transactions on Artificial Intelligence, 2025 | | 2025 |
CO2 hydrate formation in superabsorbent hydrogels for carbon capture—A comparison of water-confined framework vs non-water framework F Zhang, Y Zhang, M Thanusing, Q Yu, LA Connal, W Lipiński, X Wang Chemical Engineering Journal 500, 157422, 2024 | | 2024 |
Quantum system identification and parameter estimation Y Wang, S Xiao, Q Yu, D Dong Science China Mathematics 54 (5), 1-38, 2024 | | 2024 |
A Modified Deep Q-Learning Algorithm for Optimal and Robust Quantum Gate Design of a Single Qubit System* O Shindi, Q Yu, P Girdhar, D Dong 2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2022 | | 2022 |
On hybrid quantum filtering and capability of quantum sensors Q Yu UNSW Sydney, 2019 | | 2019 |