| Variational quantum pulse learning Z Liang, H Wang, J Cheng, Y Ding, H Ren, X Qian, S Han, W Jiang, Y Shi QCE 2022, 2022 | 43 | 2022 |
| TorchQuantum Case Study for Robust Quantum Circuits H Wang, Z Liang, J Gu, Z Li, Y Ding, W Jiang, Y Shi, DZ Pan, FT Chong, ... ICCAD 2022, 1-9, 2022 | 34* | 2022 |
| Pan: Pulse ansatz on nisq machines Z Liang, J Cheng, H Ren, H Wang, F Hua, Y Ding, F Chong, S Han, Y Shi, ... TCAD, 2022 | 30* | 2022 |
| Can noise on qubits be learned in quantum neural network? a case study on quantumflow Z Liang, Z Wang, J Yang, L Yang, Y Shi, W Jiang ICCAD 2021, 2021 | 28 | 2021 |
| Exploration of quantum neural architecture by mixing quantum neuron designs Z Wang, Z Liang, S Zhou, C Ding, Y Shi, W Jiang ICCAD 2021, 2021 | 27 | 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, ... DAC 2023, 2022 | 14 | 2022 |
| Unleashing the potential of llms for quantum computing: A study in quantum architecture design Z Liang, J Cheng, R Yang, H Ren, Z Song, D Wu, X Qian, T Li, Y Shi arXiv preprint arXiv:2307.08191, 2023 | 11 | 2023 |
| Topgen: Topology-aware bottom-up generator for variational quantum circuits J Cheng, H Wang, Z Liang, Y Shi, S Han, X Qian arXiv preprint arXiv:2210.08190, 2022 | 11 | 2022 |
| 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 | 7 | 2023 |
| Improving quantum classifier performance in nisq computers by voting strategy from ensemble learning R Qin, Z Liang, J Cheng, P Kogge, Y Shi arXiv preprint arXiv:2210.01656, 2022 | 5 | 2022 |
| Robuststate: Boosting fidelity of quantum state preparation via noise-aware variational training H Wang, Y Liu, P Liu, J Gu, Z Li, Z Liang, J Cheng, Y Ding, X Qian, Y Shi, ... arXiv preprint arXiv:2311.16035, 2023 | 3 | 2023 |
| Napa: intermediate-level variational native-pulse ansatz for variational quantum algorithms.(2023) Z Liang, J Cheng, H Ren, H Wang, F Hua, Z Song, Y Ding, F Chong, ... arXiv preprint arXiv:2208.01215, 2023, 2023 | 3 | 2023 |
| Fidelity estimator, randomized benchmarking and ZNE for quantum pulses J Cheng, Z Liang, R Yang, H Ren, Y Shi, T Li, X Qian arXiv preprint arXiv:2305.12597, 2023 | 2 | 2023 |
| A comprehensive understanding of conductive mechanism of RRAM: from electron conduction to ionic dynamics Z Liang CEECT 2020, 2020 | 2 | 2020 |
| VIOLET: Visual Analytics for Explainable Quantum Neural Networks S Ruan, Z Liang, Q Guan, P Griffin, X Wen, Y Lin, Y Wang TVCG, 2023 | 1 | 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 DAC 2024, 2023 | 1 | 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, ... DAC 2024, 2024 | | 2024 |
| QuCS: A Lecture Series on Quantum Computer Software and System Z Liang, H Wang QCE 2023 QSEEC 2023, 2023 | | 2023 |
Yiyu ShiUniversity of Notre DameVerified email at nd.edu
