Research and Publications

My research aims to reduce the noise and compliation overhead problem in NISQ era quantum computer and can be divided to two aspects: Pulse based approach and Gate based approach. And I am also working on extend quantum machine learning into applications in different areas.

I’m grateful for having collaborated with these inspiring people, who guide and help me alot in my research path: Yongshan Ding (Assistant Professor at Yale), Hanrui Wang (PhD Candidate at MIT), Jinglei Cheng (PhD student at Purdue), Zhongrui Wang (Assistant Professor at HKU).

Publication

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.Accepted to IEEE/ACM Design Automation Conference(DAC 2024).
  [arXiv]

• 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, Tongyang Li.Accepted to IEEE/ACM Design Automation Conference(DAC 2024).
  [arXiv]

• NAPA: Intermediate-level Variational Native-pulse Ansatz for Variational Quantum Algorithms(PAN: Pulse Ansatz on NISQ Machines).
  Zhiding Liang^, Jinglei Cheng^, Hang Ren, Hanrui Wang, Fei Hua, Zhixin Song, Yongshan Ding, Fred Chong, Song Han, Xuehai Qian, Yiyu Shi. Accepted to IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems(TCAD).
  [arXiv]

2023

• QuCS: A Lecture Series on Quantum Computer Software and System.
  Zhiding Liang, Hanrui Wang. Accepted to IEEE International Conference on Quantum Computing and Engineering (QCE 2023) and Quantum Science and Engineering Education (QSSEC23).
  [arXiv]

• 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. Accepted to IEEE/ACM Design Automation Conference(DAC 2023).
  [arXiv]

• Towards Advantages of Parameterized Quantum Pulses.
  Zhiding Liang, Jinglei Cheng, Zhixin Song, Hang Ren, Rui Yang, Hanrui Wang, Kecheng Liu, Peter Kogge, Tongyang Li, Yongshan Ding, Yiyu Shi. Accepted to 7th International Conference on Quantum Techinques in Machine Learning(QTML) for Poster Presentation, Full Paper in Submission.
  [arXiv]

• VIOLET: Visual Analytics for Explainable Quantum Neural Networks.
  Shaolun Ruan, Zhiding Liang, Qiang Guan, Paul Griffin, Xiaolin Wen, Yanna Lin, Yong Wang. Accepted to IEEE Transactions on Visualization and Computer Graphics(TVCG).
  [arXiv]

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. Accepted to IEEE International Conference on Quantum Computing and Engineering (QCE 2022).
  [arXiv]

• Improving Quantum Classifier Performance in NISQ Computers by Voting Strategy from Ensemble Learning .
  Ruiyang Qin, Zhiding Liang, Jinglei Cheng, Peter Kogge, Yiyu Shi. in submission.
  [arXiv]

• TopGen: Topology-Aware Bottom-Up Generator for Variational Quantum Circuits.
  Jinglei Cheng, Hanrui Wang, Zhiding Liang, Yiyu Shi, Song Han, Xuehai Qian. Under Review in IEEE Transcation on Computer.
  [arXiv]

• QuEst: Graph Transformer for Quantum Circuit Reliability Estimation.
  Hanrui Wang, Pengyu Liu, Jinglei Cheng, Zhiding Liang, Jinglei Cheng, Jiaqi Gu, Zirui Li, Yongshan Ding, Weiwen Jiang, Yiyu Shi, Xuehai Qian, David Z. Pan, Frederic T. Chong, Song Han. Accepted to IEEE/ACM International Conference on Computer-Aided Design (ICCAD 2022).
  [arXiv]

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. in Proc. of IEEE/ACM International Conference on Computer-Aided Design (ICCAD 2021).
  [arXiv]

• Exploration of Quantum Neural Architecture by Mixing Quantum Neuron Designs.
  Zhepeng Wang, Zhiding Liang, Shanglin Zhou, Caiwen Ding, Yiyu Shi, Weiwen Jiang. in Proc. of IEEE/ACM International Conference on Computer-Aided Design (ICCAD 2021).
  [arXiv]

2020

• A comprehensive understanding of conductive mechanism of RRAM: from electron conduction to ionic dynamics.
  Zhiding Liang. 2020 International Conference on Electrical Engineering and Control Technologies (CEECT 2020).