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Yuxuan Du
Yuxuan Du
University of Sydney; JD Explore Academy
Verified email at uni.sydney.edu.au - Homepage
Title
Cited by
Cited by
Year
Expressive power of parametrized quantum circuits
Y Du, MH Hsieh, T Liu, D Tao
Physical Review Research 2 (3), 033125, 2020
1312020
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
492021
Quantum circuit architecture search for variational quantum algorithms
Y Du, T Huang, S You, MH Hsieh, D Tao
npj Quantum Information 8 (1), 1-8, 2022
39*2022
Quantum noise protects quantum classifiers against adversaries
Y Du, MH Hsieh, T Liu, D Tao, N Liu
Physical Review Research 3 (2), 023153, 2021
362021
Learnability of quantum neural networks
Y Du, MH Hsieh, T Liu, S You, D Tao
PRX Quantum 2 (4), 040337, 2021
312021
Efficient measure for the expressivity of variational quantum algorithms
Y Du, Z Tu, X Yuan, D Tao
Physical Review Letters 128 (8), 080506, 2022
282022
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
27*2021
Towards understanding the power of quantum kernels in the NISQ era
X Wang, Y Du, Y Luo, D Tao
Quantum 5, 531, 2021
242021
Efficient bipartite entanglement detection scheme with a quantum adversarial solver
XF Yin, Y Du, YY Fei, R Zhang, LZ Liu, Y Mao, T Liu, MH Hsieh, L Li, ...
Physical Review Letters 128 (11), 110501, 2022
10*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
10*2018
Quantum-inspired algorithm for general minimum conical hull problems
Y Du, MH Hsieh, T Liu, D Tao
Physical Review Research 2 (3), 033199, 2020
92020
On exploring practical potentials of quantum auto-encoder with advantages
Y Du, D Tao
arXiv preprint arXiv:2106.15432, 2021
72021
Quantum differentially private sparse regression learning
Y Du, MH Hsieh, T Liu, S You, D Tao
IEEE Transactions on Information Theory, 2022
52022
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
42017
DyRep: Bootstrapping Training with Dynamic Re-parameterization
T Huang, S You, B Zhang, Y Du, F Wang, C Qian, C Xu
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
32022
The dilemma of quantum neural networks
Y Qian, X Wang, Y Du, X Wu, D Tao
arXiv preprint arXiv:2106.04975, 2021
32021
A distributed learning scheme for variational quantum algorithms
Y Du, Y Qian, X Wu, D Tao
IEEE Transactions on Quantum Engineering 3, 1-16, 2022
2*2022
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
22022
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
22022
QAOA-in-QAOA: solving large-scale MaxCut problems on small quantum machines
Z Zhou, Y Du, X Tian, D Tao
arXiv preprint arXiv:2205.11762, 2022
12022
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Articles 1–20