Laboratory for Innovative and Advanced Next-Gen Computing

2024

colored indicate lab members, * indicate equal contribution

Synergizing Quantum Techniques with Machine Learning for Advancing Drug Discovery Challenge

Zhiding Liang, Zichang He, Yue Sun, Dylan Herman, Xiaowei Xu, Weiwen Jiang, Di Wu, Marco Pistoia, and Yiyu Shi

Scientific Reports

HyQ2: A Hybrid Quantum Neural Network for NextG Vulnerability Detection 

Yifeng Peng, Xinyi Li, Zhiding Liang, and Ying Wang

IEEE Transactions on Quantum Engineering (TQE)

Compiler Optimizations for Quantum Approximate Optimization Algorithm

Yuchen Zhu*, Yidong Zhou*, Jinglei Cheng*, Yuwei Jin*, Boxi Li, Siyuan Niu, and Zhiding Liang

43rd ACM/IEEE International Conference on Computer-Aided Design (ICCAD 2024)

Invited Paper

NAPA: Intermediate-level Variational Native-pulse Ansatz for Variational Quantum Algorithm

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

IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. (TCAD)

Highlighted in IBM Qiskit

VIOLET: Visual Analytics for Explainable Quantum Neural Networks

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

IEEE Transactions on Visualization and Computer Graphics. (TVCG)

SpacePulse: Combining Parameterized Pulses and Contextual Subspace for More Practical VQE

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

61th IEEE/ACM Design Automation Conference. (DAC 2024) 

Graph Machine Learning for Variational Quantum Algorithms

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

61th IEEE/ACM Design Automation Conference. (DAC 2024) 

Invited Paper

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

60th IEEE/ACM Design Automation Conference. (DAC 2023)

QuCS: A Lecture Series on Quantum Computer Software and System

Zhiding Liang, Hanrui Wang

IEEE International Conference on Quantum Computing and Engineering. (QCE 2023)

2022

Variational Quantum Pulse Learning

Zhiding Liang*, Hanrui Wang*, Jinglei Cheng, Yongshan Ding, Hang Ren, Zhengqi Gao, Duane Boning, Xuehai Qian, Song Han, Weiwen Jiang, Yiyu Shi

IEEE International Conference on Quantum Computing and Engineering. (QCE 2022)

TorchQuantum Case Study for Robust Quantum Circuits

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

41th International Conference On Computer-Aided Design. (ICCAD 2022)

Invited Paper

2021

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

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

40th International Conference On Computer-Aided Design (ICCAD 2021).

Exploration of Quantum Neural Architecture by Mixing Quantum Neuron Designs

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

40th International Conference On Computer-Aided Design. (ICCAD 2021)

Invited Paper