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2020 – today
- 2024
[j2]Zhiding Liang
, Jinglei Cheng, Hang Ren, Hanrui Wang, Fei Hua, Zhixin Song, Yongshan Ding, Frederic T. Chong, Song Han, Xuehai Qian, Yiyu Shi:
NAPA: Intermediate-Level Variational Native-Pulse Ansatz for Variational Quantum Algorithms. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 43(6): 1834-1847 (2024)- [j1]Shaolun Ruan, Zhiding Liang, Qiang Guan, Paul Griffin, Xiaolin Wen, Yanna Lin, Yong Wang:
VIOLET: Visual Analytics for Explainable Quantum Neural Networks. IEEE Trans. Vis. Comput. Graph. 30(6): 2862-2874 (2024) - [c8]Zhiding Liang, Zhixin Song, Jinglei Cheng, Hang Ren, Tianyi Hao, Rui Yang, Yiyu Shi, Tongyang Li:
Combining Parameterized Pulses and Contextual Subspace for More Practical VQE. DAC 2024: 122:1-122:6 - [c7]Zhiding Liang, Gang Liu, Zheyuan Liu, Jinglei Cheng, Tianyi Hao, Kecheng Liu, Hang Ren, Zhixin Song, Ji Liu, Fanny Ye, Yiyu Shi:
Invited: Graph Learning for Parameter Prediction of Quantum Approximate Optimization Algorithm. DAC 2024: 361:1-361:4 - [i16]Zhiding Liang, Gang Liu, Zheyuan Liu, Jinglei Cheng, Tianyi Hao, Kecheng Liu, Hang Ren, Zhixin Song, Ji Liu, Fanny Ye, Yiyu Shi:
Graph Learning for Parameter Prediction of Quantum Approximate Optimization Algorithm. CoRR abs/2403.03310 (2024) - [i15]Yifeng Peng, Xinyi Li, Zhiding Liang, Ying Wang:
Qsco: A Quantum Scoring Module for Open-set Supervised Anomaly Detection. CoRR abs/2405.16368 (2024) - [i14]Yidong Zhou, Jintai Chen, Jinglei Cheng, Gopal Karemore, Marinka Zitnik, Frederic T. Chong, Junyu Liu, Tianfan Fu, Zhiding Liang:
Quantum-machine-assisted Drug Discovery: Survey and Perspective. CoRR abs/2408.13479 (2024) - [i13]Dannong Wang, Jintai Chen, Zhiding Liang, Tianfan Fu, Xiao-Yang Liu:
Quantum-inspired Reinforcement Learning for Synthesizable Drug Design. CoRR abs/2409.09183 (2024) - [i12]Xiangyu Ren, Junjie Wan, Zhiding Liang, Antonio Barbalace:
Tackling Coherent Noise in Quantum Computing via Cross-Layer Compiler Optimization. CoRR abs/2410.09664 (2024) - [i11]Kecheng Liu, Yidong Zhou, Haochen Luo, Lingjun Xiong, Yuchen Zhu, Eilis Casey, Jinglei Cheng, Samuel Yen-Chi Chen, Zhiding Liang:
ECDQC: Efficient Compilation for Distributed Quantum Computing with Linear Layout. CoRR abs/2410.23857 (2024) - 2023
- [c6]Zhiding Liang, Zhixin Song, Jinglei Cheng, Zichang He, Ji Liu, Hanrui Wang, Ruiyang Qin, Yiru Wang, Song Han, Xuehai Qian, Yiyu Shi:
Hybrid Gate-Pulse Model for Variational Quantum Algorithms. DAC 2023: 1-6 - [c5]Zhiding Liang, Hanrui Wang:
QuCS: A Lecture Series on Quantum Computer Software and System. QCE 2023: 40-48 - [i10]Zhiding Liang, Hanrui Wang:
QuCS: A Lecture Series on Quantum Computer Software and System. CoRR abs/2309.15908 (2023) - [i9]Hanrui Wang, Yilian Liu, Pengyu Liu, Jiaqi Gu, Zirui Li, Zhiding Liang, Jinglei Cheng, Yongshan Ding, Xuehai Qian, Yiyu Shi, David Z. Pan, Frederic T. Chong, Song Han:
RobustState: Boosting Fidelity of Quantum State Preparation via Noise-Aware Variational Training. CoRR abs/2311.16035 (2023) - [i8]Shaolun Ruan, Zhiding Liang, Qiang Guan, Paul Griffin, Xiaolin Wen, Yanna Lin, Yong Wang:
VIOLET: Visual Analytics for Explainable Quantum Neural Networks. CoRR abs/2312.15276 (2023) - 2022
- [c4]Hanrui Wang, Zhiding Liang, Jiaqi Gu, Zirui Li, Yongshan Ding, Weiwen Jiang, Yiyu Shi, David Z. Pan, Frederic T. Chong, Song Han:
TorchQuantum Case Study for Robust Quantum Circuits. ICCAD 2022: 136:1-136:9 - [c3]Zhiding Liang, Hanrui Wang, Jinglei Cheng, Yongshan Ding, Hang Ren, Zhengqi Gao, Zhirui Hu, Duane S. Boning, Xuehai Qian, Song Han, Weiwen Jiang, Yiyu Shi:
Variational Quantum Pulse Learning. QCE 2022: 556-565 - [i7]Zhiding Liang, Jinglei Cheng, Hang Ren, Hanrui Wang, Fei Hua, Yongshan Ding, Fred Chong, Song Han, Yiyu Shi, Xuehai Qian:
PAN: Pulse Ansatz on NISQ Machines. CoRR abs/2208.01215 (2022) - [i6]Ruiyang Qin, Zhiding Liang, Jinglei Cheng, Peter M. Kogge, Yiyu Shi:
Improving Quantum Classifier Performance in NISQ Computers by Voting Strategy from Ensemble Learning. CoRR abs/2210.01656 (2022) - [i5]Jinglei Cheng, Hanrui Wang, Zhiding Liang, Yiyu Shi, Song Han, Xuehai Qian:
TopGen: Topology-Aware Bottom-Up Generator for Variational Quantum Circuits. CoRR abs/2210.08190 (2022) - [i4]Hanrui Wang, Pengyu Liu, Jinglei Cheng, Zhiding Liang, Jiaqi Gu, Zirui Li, Yongshan Ding, Weiwen Jiang, Yiyu Shi, Xuehai Qian, David Z. Pan, Frederic T. Chong, Song Han:
QuEst: Graph Transformer for Quantum Circuit Reliability Estimation. CoRR abs/2210.16724 (2022) - [i3]Zhiding Liang, Zhixin Song, Jinglei Cheng, Zichang He, Ji Liu, Hanrui Wang, Ruiyang Qin, Yiru Wang, Song Han, Xuehai Qian, Yiyu Shi:
Hybrid Gate-Pulse Model for Variational Quantum Algorithms. CoRR abs/2212.00661 (2022) - 2021
- [c2]Zhiding Liang, Zhepeng Wang, Junhuan Yang, Lei Yang, Yiyu Shi, Weiwen Jiang:
Can Noise on Qubits Be Learned in Quantum Neural Network? A Case Study on QuantumFlow (Invited Paper). ICCAD 2021: 1-7 - [c1]Zhepeng Wang, Zhiding Liang, Shanglin Zhou, Caiwen Ding, Yiyu Shi, Weiwen Jiang:
Exploration of Quantum Neural Architecture by Mixing Quantum Neuron Designs: (Invited Paper). ICCAD 2021: 1-7 - [i2]Zhiding Liang, Zhepeng Wang, Junhuan Yang, Lei Yang, Jinjun Xiong, Yiyu Shi, Weiwen Jiang:
Can Noise on Qubits Be Learned in Quantum Neural Network? A Case Study on QuantumFlow. CoRR abs/2109.03430 (2021) - [i1]Zhepeng Wang, Zhiding Liang, Shanglin Zhou, Caiwen Ding, Jinjun Xiong, Yiyu Shi, Weiwen Jiang:
Exploration of Quantum Neural Architecture by Mixing Quantum Neuron Designs. CoRR abs/2109.03806 (2021)
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