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
Join the team
Fully funded PhD openings in group for Spring/Fall 2025, if you are admitted to RPI at Fall 2024 and still in rotation, you can also feel free to contact!