| Efficient 2D tensor network simulation of quantum systems Y Pang, T Hao, A Dugad, Y Zhou, E Solomonik SC20: International conference for high performance computing, networking …, 2020 | 19 | 2020 |
| A quantum-inspired tensor network algorithm for constrained combinatorial optimization problems T Hao, X Huang, C Jia, C Peng Frontiers in Physics 10, 906590, 2022 | 11 | 2022 |
| Exploiting in-constraint energy in constrained variational quantum optimization T Hao, R Shaydulin, M Pistoia, J Larson 2022 IEEE/ACM Third International Workshop on Quantum Computing Software …, 2022 | 7 | 2022 |
| Enabling High Performance Debugging for Variational Quantum Algorithms using Compressed Sensing T Hao, K Liu, S Tannu Proceedings of the 50th Annual International Symposium on Computer …, 2023 | 3 | 2023 |
| SpacePulse: 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 arXiv preprint arXiv:2311.17423, 2023 | 2 | 2023 |
| Variational Quantum Algorithm Landscape Reconstruction by Low-Rank Tensor Completion T Hao, Z He, R Shaydulin, M Pistoia, S Tannu arXiv preprint arXiv:2405.10941, 2024 | | 2024 |
| 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, ... arXiv preprint arXiv:2403.03310, 2024 | | 2024 |
| Improving Performance and Debuggability of Variational Quantum Algorithms using Compressed Sensing K Liu, T Hao, S Tannu APS March Meeting Abstracts 2023, F70. 003, 2023 | | 2023 |
| Tetris: A Compilation Framework for VQA Applications in Quantum Computing Y Jin, Z Li, F Hua, T Hao, H Zhou, Y Huang, EZ Zhang | | |
