Yuxuan Du
Yuxuan Du
University of Sydney; JD Explore Academy
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Expressive power of parametrized quantum circuits
Y Du, MH Hsieh, T Liu, D Tao
Physical Review Research 2 (3), 033125, 2020
Experimental quantum generative adversarial networks for image generation
HL Huang, Y Du, M Gong, Y Zhao, Y Wu, C Wang, S Li, F Liang, J Lin, ...
Physical Review Applied 16 (2), 024051, 2021
Quantum noise protects quantum classifiers against adversaries
Y Du, MH Hsieh, T Liu, D Tao, N Liu
Physical Review Research 3 (2), 023153, 2021
Quantum circuit architecture search: error mitigation and trainability enhancement for variational quantum solvers
Y Du, T Huang, S You, MH Hsieh, D Tao
arXiv preprint arXiv:2010.10217, 2020
A Grover-search based quantum learning scheme for classification
Y Du, MH Hsieh, T Liu, D Tao
New Journal of Physics 23 (2), 023020, 2021
Learnability of quantum neural networks
Y Du, MH Hsieh, T Liu, S You, D Tao
PRX Quantum 2 (4), 040337, 2021
Towards understanding the power of quantum kernels in the NISQ era
X Wang, Y Du, Y Luo, D Tao
Quantum 5, 531, 2021
Efficient measure for the expressivity of variational quantum algorithms
Y Du, Z Tu, X Yuan, D Tao
Physical Review Letters 128 (8), 080506, 2022
Quantum Divide-and-Conquer Anchoring for Separable Non-negative Matrix Factorization
DT Yuxuan Du, Tongliang Liu, Yinan Li, Runyao Duan
Proceedings of the Twenty-Seventh International Joint Conference on …, 2018
Efficient online quantum generative adversarial learning algorithms with applications
Y Du, MH Hsieh, D Tao
arXiv preprint arXiv:1904.09602, 2019
On exploring practical potentials of quantum auto-encoder with advantages
Y Du, D Tao
arXiv preprint arXiv:2106.15432, 2021
Quantum-inspired algorithm for general minimum conical hull problems
Y Du, MH Hsieh, T Liu, D Tao
Physical Review Research 2 (3), 033199, 2020
Quantum differentially private sparse regression learning
Y Du, MH Hsieh, T Liu, S You, D Tao
IEEE Transactions on Information Theory, 2022
New insights on the magnetic properties of ferromagnetic FePd3 single-crystals encapsulated inside carbon nanomaterials
FS Boi, Y Du, S Ivaturi, Y He, S Wang
Materials Research Express 4 (3), 035021, 2017
A distributed learning scheme for variational quantum algorithms
Y Du, Y Qian, X Wu, D Tao
IEEE Transactions on Quantum Engineering, 1-1, 2022
DyRep: Bootstrapping Training with Dynamic Re-parameterization
T Huang, S You, B Zhang, Y Du, F Wang, C Qian, C Xu
arXiv preprint arXiv:2203.12868, 2022
Quantum circuit architecture search on a superconducting processor
K Linghu, Y Qian, R Wang, MJ Hu, Z Li, X Li, H Xu, J Zhang, T Ma, P Zhao, ...
arXiv preprint arXiv:2201.00934, 2022
The dilemma of quantum neural networks
Y Qian, X Wang, Y Du, X Wu, D Tao
arXiv preprint arXiv:2106.04975, 2021
Theory of Quantum Generative Learning Models with Maximum Mean Discrepancy
Y Du, Z Tu, B Wu, X Yuan, D Tao
arXiv preprint arXiv:2205.04730, 2022
Efficient and practical quantum compiler towards multi-qubit systems with deep reinforcement learning
Q Chen, Y Du, Q Zhao, Y Jiao, X Lu, X Wu
arXiv preprint arXiv:2204.06904, 2022
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