| Expressive power of parametrized quantum circuits Y Du, MH Hsieh, T Liu, D Tao Physical Review Research 2 (3), 033125, 2020 | 131 | 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 | 49 | 2021 |
| 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 | 36 | 2021 |
| Learnability of quantum neural networks Y Du, MH Hsieh, T Liu, S You, D Tao PRX Quantum 2 (4), 040337, 2021 | 31 | 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 | 28 | 2022 |
| 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 | 24 | 2021 |
| 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 | 9 | 2020 |
| On exploring practical potentials of quantum auto-encoder with advantages Y Du, D Tao arXiv preprint arXiv:2106.15432, 2021 | 7 | 2021 |
| Quantum differentially private sparse regression learning Y Du, MH Hsieh, T Liu, S You, D Tao IEEE Transactions on Information Theory, 2022 | 5 | 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 | 4 | 2017 |
| 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 | 3 | 2022 |
| The dilemma of quantum neural networks Y Qian, X Wang, Y Du, X Wu, D Tao arXiv preprint arXiv:2106.04975, 2021 | 3 | 2021 |
| 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 | 2 | 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 | 2 | 2022 |
| 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 | 1 | 2022 |
Dacheng TaoThe University of SydneyVerified email at sydney.edu.au
