Zhiding Liang

According to our database, Zhiding Liang authored at least 24 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

VIOLET: Visual Analytics for Explainable Quantum Neural Networks.

Shaolun Ruan, Zhiding Liang, Qiang Guan, Paul Griffin, Xiaolin Wen, Yanna Lin, Yong Wang

IEEE Trans. Vis. Comput. Graph., June, 2024

NAPA: Intermediate-Level Variational Native-Pulse Ansatz for Variational Quantum Algorithms.

Zhiding Liang, Jinglei Cheng, Hang Ren, Hanrui Wang, Fei Hua, Zhixin Song, Yongshan Ding, Frederic T. Chong, Song Han, Xuehai Qian, Yiyu Shi

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., June, 2024

Efficient Circuit Cutting and Scheduling in a Multi-Node Quantum System with Dynamic EPR Pairs.

Zefan Du, Wenrui Zhang, Wenqi Wei, Juntao Chen, Tao Han, Zhiding Liang, Ying Mao

CoRR, 2024

ECDQC: Efficient Compilation for Distributed Quantum Computing with Linear Layout.

Kecheng Liu, Yidong Zhou, Haochen Luo, Lingjun Xiong, Yuchen Zhu, Eilis Casey, Jinglei Cheng, Samuel Yen-Chi Chen, Zhiding Liang

CoRR, 2024

Tackling Coherent Noise in Quantum Computing via Cross-Layer Compiler Optimization.

Xiangyu Ren, Junjie Wan, Zhiding Liang, Antonio Barbalace

CoRR, 2024

Quantum-inspired Reinforcement Learning for Synthesizable Drug Design.

Dannong Wang, Jintai Chen, Zhiding Liang, Tianfan Fu, Xiao-Yang Liu

CoRR, 2024

Quantum-machine-assisted Drug Discovery: Survey and Perspective.

Yidong Zhou, Jintai Chen, Jinglei Cheng, Gopal Karemore, Marinka Zitnik, Frederic T. Chong, Junyu Liu, Tianfan Fu, Zhiding Liang

CoRR, 2024

Qsco: A Quantum Scoring Module for Open-set Supervised Anomaly Detection.

Yifeng Peng, Xinyi Li, Zhiding Liang, Ying Wang

CoRR, 2024

Graph Learning for Parameter Prediction of Quantum Approximate Optimization Algorithm.

Zhiding Liang, Gang Liu, Zheyuan Liu, Jinglei Cheng, Tianyi Hao, Kecheng Liu, Hang Ren, Zhixin Song, Ji Liu, Fanny Ye, Yiyu Shi

CoRR, 2024

Combining Parameterized Pulses and Contextual Subspace for More Practical VQE.

Zhiding Liang, Zhixin Song, Jinglei Cheng, Hang Ren, Tianyi Hao, Rui Yang, Yiyu Shi, Tongyang Li

Proceedings of the 61st ACM/IEEE Design Automation Conference, 2024

Invited: Graph Learning for Parameter Prediction of Quantum Approximate Optimization Algorithm.

Zhiding Liang, Gang Liu, Zheyuan Liu, Jinglei Cheng, Tianyi Hao, Kecheng Liu, Hang Ren, Zhixin Song, Ji Liu, Fanny Ye, Yiyu Shi

Proceedings of the 61st ACM/IEEE Design Automation Conference, 2024

2023

RobustState: Boosting Fidelity of Quantum State Preparation via Noise-Aware Variational Training.

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

CoRR, 2023

QuCS: A Lecture Series on Quantum Computer Software and System.

Zhiding Liang, Hanrui Wang

Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2023

Hybrid Gate-Pulse Model for Variational Quantum Algorithms.

Zhiding Liang, Zhixin Song, Jinglei Cheng, Zichang He, Ji Liu, Hanrui Wang, Ruiyang Qin, Yiru Wang, Song Han, Xuehai Qian, Yiyu Shi

Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023

2022

QuEst: Graph Transformer for Quantum Circuit Reliability Estimation.

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

CoRR, 2022

TopGen: Topology-Aware Bottom-Up Generator for Variational Quantum Circuits.

Jinglei Cheng, Hanrui Wang, Zhiding Liang, Yiyu Shi, Song Han, Xuehai Qian

CoRR, 2022

Improving Quantum Classifier Performance in NISQ Computers by Voting Strategy from Ensemble Learning.

Ruiyang Qin, Zhiding Liang, Jinglei Cheng, Peter M. Kogge, Yiyu Shi

CoRR, 2022

PAN: Pulse Ansatz on NISQ Machines.

Zhiding Liang, Jinglei Cheng, Hang Ren, Hanrui Wang, Fei Hua, Yongshan Ding, Fred Chong, Song Han, Yiyu Shi, Xuehai Qian

CoRR, 2022

Variational Quantum Pulse Learning.

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

Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2022

TorchQuantum Case Study for Robust Quantum Circuits.

Hanrui Wang, Zhiding Liang, Jiaqi Gu, Zirui Li, Yongshan Ding, Weiwen Jiang, Yiyu Shi, David Z. Pan, Frederic T. Chong, Song Han

Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided Design, 2022

2021

Exploration of Quantum Neural Architecture by Mixing Quantum Neuron Designs.

Zhepeng Wang, Zhiding Liang, Shanglin Zhou, Caiwen Ding, Jinjun Xiong, Yiyu Shi, Weiwen Jiang

CoRR, 2021

Can Noise on Qubits Be Learned in Quantum Neural Network? A Case Study on QuantumFlow.

Zhiding Liang, Zhepeng Wang, Junhuan Yang, Lei Yang, Jinjun Xiong, Yiyu Shi, Weiwen Jiang

CoRR, 2021

Exploration of Quantum Neural Architecture by Mixing Quantum Neuron Designs: (Invited Paper).

Zhepeng Wang, Zhiding Liang, Shanglin Zhou, Caiwen Ding, Yiyu Shi, Weiwen Jiang

Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2021

Can Noise on Qubits Be Learned in Quantum Neural Network? A Case Study on QuantumFlow (Invited Paper).

Zhiding Liang, Zhepeng Wang, Junhuan Yang, Lei Yang, Yiyu Shi, Weiwen Jiang

Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2021