| Variational quantum singular value decomposition X Wang, Z Song, Y Wang Quantum 5, 483, 2021 | 86 | 2021 |
| Variational quantum algorithms for trace distance and fidelity estimation R Chen, Z Song, X Zhao, X Wang Quantum Science and Technology 7 (1), 015019, 2021 | 62 | 2021 |
| VSQL: Variational shadow quantum learning for classification G Li, Z Song, X Wang Proceedings of the AAAI conference on artificial intelligence 35 (9), 8357-8365, 2021 | 53 | 2021 |
| Practical distributed quantum information processing with LOCCNet X Zhao, B Zhao, Z Wang, Z Song, X Wang npj Quantum Information 7 (1), 159, 2021 | 30* | 2021 |
| Hybrid gate-pulse model for variational quantum algorithms Z Liang, Z Song, J Cheng, Z He, J Liu, H Wang, R Qin, Y Wang, S Han, ... 2023 60th ACM/IEEE Design Automation Conference (DAC), 1-6, 2023 | 26 | 2023 |
| Detecting and quantifying entanglement on near-term quantum devices K Wang, Z Song, X Zhao, Z Wang, X Wang npj Quantum Information 8 (1), 52, 2022 | 26 | 2022 |
| Napa: intermediate-level variational native-pulse ansatz for variational quantum algorithms Z Liang, J Cheng, H Ren, H Wang, F Hua, Z Song, Y Ding, FT Chong, ... IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2024 | 24 | 2024 |
| Towards advantages of parameterized quantum pulses Z Liang, J Cheng, Z Song, H Ren, R Yang, K Liu, P Kogge, T Li, Y Ding, ... arXiv preprint arXiv:2304.09253, 2023 | 12 | 2023 |
| Privacy-preserving quantum federated learning via gradient hiding C Li, N Kumar, Z Song, S Chakrabarti, M Pistoia Quantum Science and Technology 9 (3), 035028, 2024 | 11 | 2024 |
| Fully quantum algorithm for lattice Boltzmann methods with application to partial differential equations S Kocherla, Z Song, FE Chrit, B Gard, EF Dumitrescu, A Alexeev, ... arXiv preprint arXiv:2305.07148, 2023 | 7 | 2023 |
| Graph learning for parameter prediction of quantum approximate optimization algorithm Z Liang, G Liu, Z Liu, J Cheng, T Hao, K Liu, H Ren, Z Song, J Liu, F Ye, ... Proceedings of the 61st ACM/IEEE Design Automation Conference, 1-4, 2024 | 6 | 2024 |
| A two-circuit approach to reducing quantum resources for the quantum lattice Boltzmann method S Kocherla, A Adams, Z Song, A Alexeev, SH Bryngelson arXiv preprint arXiv:2401.12248, 2024 | 4 | 2024 |
| Incompressible Navier–Stokes solve on noisy quantum hardware via a hybrid quantum–classical scheme Z Song, R Deaton, B Gard, SH Bryngelson Computers & Fluids 288, 106507, 2025 | 2 | 2025 |
| Fully quantum algorithm for mesoscale fluid simulations with application to partial differential equations S Kocherla, Z Song, FE Chrit, B Gard, EF Dumitrescu, A Alexeev, ... AVS Quantum Science 6 (3), 2024 | 2 | 2024 |
| Combining Parameterized Pulses and Contextual Subspace for More Practical VQE Z Liang, Z Song, J Cheng, H Ren, T Hao, R Yang, Y Shi, T Li Proceedings of the 61st ACM/IEEE Design Automation Conference, 1-6, 2024 | 1 | 2024 |
| EPOC: A Novel Pulse Generation Framework Incorporating Advanced Synthesis Techniques for Quantum Circuits J Cheng, Y Zhu, Y Zhou, H Ren, Z Song, Z Liang arXiv preprint arXiv:2405.03804, 2024 | 1 | 2024 |
| Incompressible flow simulation via a hybrid quantum-classical approach and variational algorithm Z Song, B Gard, S Bryngelson Bulletin of the American Physical Society, 2024 | | 2024 |
| A multiple-circuit approach to quantum resource reduction with application to the quantum lattice Boltzmann method M Lee, Z Song, S Kocherla, A Adams, A Alexeev, SH Bryngelson arXiv e-prints, arXiv: 2401.12248, 2024 | | 2024 |
| Hybrid classical-quantum algorithm for solving the incompressible Navier-Stokes equations on quantum hardware Z Song, B Gard, S Bryngelson Bulletin of the American Physical Society, 2023 | | 2023 |
Xin WangAssociate Professor, AI Thrust, Hong Kong University of Science and Technology (Guangzhou)Adresă de e-mail confirmată pe hkust-gz.edu.cn
