I am currently a Ph.D. student in the Department of Computer science and Engineering, University of Notre Dame, under the supervision of Prof. Yiyu Shi at University of Notre Dame. I also closely work with Prof. Yongshan Ding at Yale University, Prof. Weiwen Jiang at George Mason University, and Prof. Tongyang Li at Peking University.
I received my Bachelor’s degree from University of Wisconsin, Madison in Madison, WI, US, where I was worked with Professor. Juda Shohet in the Plasma Processing & Technology lab at UW-Madison.

Research

My research interests recently focus on quantum computing:

• Pulse Ansatz and Pulse Learning for Variational Quantum Algorithm
• Efficient Crosslayer Ansatz by Hardware and Software Co-design

I am also interested in outreach and education in software and system level quantum computing. I have organizing the Quantum Computer System Lecture Series (QuCS). I am also lead to organize the 2023 ACM/IEEE Quantum Computing for Drug Discovery Challenge at International Conference on Computer-Aided Design (ICCAD 2023).

Education

• University of Notre Dame. PhD student in Computer science and Engineering. 2021 - 2026 (Expected)
• University of Wisconsin, Madison. B.S. in Electrical Engineering. 2018 - 2020
• Auburn University. Computer Engineering transfer to UW-Madison. 2016-2018

Professional Experience

• JPMorgan Chase&Co. Research Technology Summer Associate - Quantum Computing. 2023 Summer
• Silan Microelectronics. Back-end Development Intern. 2018 Summer

Honors and Awards

• Edison Innovation Fellowship
  University of Notre Dame.
• 2023 ISCA Student Travel Grant.
  ISCA. 2023
• 2022 DAC Young Fellow with 500$ Travel Grant.
  DAC. 2022
• 2021 DAC Young Fellow.
  DAC. 2021
• Certificate of Quantum Excellence (100/100).
  IBM. 2021.
• Dean’s List.
  University of Wisconsin, Madison. 2018fall - 2020spring.
• Dean’s List.
  Auburn University. 2017spring - 2018spring.

News

• I lead to organize the 2023 ACM/IEEE Contest for Machine Learning on Hardware at International Conference on Computer-Aided Design (ICCAD) – Track 2: Quantum Computing for Drug Discovery Challenge ! Aug 22, 2023
• I am honored to be selected as Edison Innovation Fellow at University of Notre Dame, Cheers! Aug.2023
• One paper accepted to Quantum Science and Engineering Education track of QCE23, Cheers! July.2023
• One paper accepted to DAC, Cheers! Feb.2023
• I will join JPMorgan Chase & Co as a Global Technologies Research Associate Intern in Quantum Computing Program during June 2023 - Augest 2023.
• I will join Yale Quantum Insitute as a visiting scholar under supervised by Prof. Yongshan Ding during Feb 2023 - June 2023.
• I am happy to share I get married with Yiru Wang on Oct 12th in Las Vegas (officially married)!!! I fall in love with Yiru Wang for over four years and we finally together to make a family!
• One paper will apear on ICCAD, Cheers! Aug.2022
• One paper accepted to QCE, Cheers! June.2022
• Zhiding and Hanrui has organized quantum computing systems lecture series, please check Our Website sign up on the mail list and follow the update! Welcome to contact for give a talk in our series!
• Zhiding has been selected as a DAC Young Fellow, Cheers! Thanks for the 500$ travel grant from DAC! April.2022
• Become a contributor to TorchQuantum and aim to extend the functionabilty of support quantum pulse, thanks Hanrui! Feb.2022
• Zhiding has been selected as a DAC Young Fellow, Cheers! Nov.2021
• Two papers will be published on ICCAD, Cheers! Sep.2021
• Become a contributor to QFNN, design the QF-RobustNN to support Quantumflow, thanks Zhirui! Sep.2021
• Zhiding has joining University of Notre Dame as a PhD student in Computer Science and Engineering department under guidence of Prof. Yiyu Shi. July.2021

Publications

• Zhiding Liang, Hanrui Wang, “QuCS: A Lecture Series on Quantum Computer Software and System”. Accepted to the IEEE International Conference on Quantum Computing and Engineering. (QCE 2022) Quantum Science and Engineering Education (QSSEC23) track .
• 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”. Accepted to the 60th IEEE/ACM Design Automation Conference(DAC 2023)
• 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”. (arxiv)
• Zhiding Liang^, Hanrui Wang^, Jinglei Cheng, Yongshan Ding, Hang Ren, Zhengqi Gao, Duane Boning, Xuehai Qian, Song Han, Weiwen Jiang, Yiyu Shi, “Variational Quantum Pulse Learning”. Accepted to the IEEE International Conference on Quantum Computing and Engineering. (QCE 2022).
• 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”. Published in the Proceedings of 40th International Conference On Computer-Aided Design (ICCAD 2021).
• Zhiding Liang, “A comprehensive understanding of conductive mechanism of RRAM: from electron conduction to ionic dynamics”. Published in the 2nd International Conference on Electrical Engineering and Control Technologies (CEECT 2020)
• Jinglei Cheng, Hanrui Wang, Zhiding Liang, Yiyu Shi, Song Han, Xuehai Qian, “TopGen: Topology-Aware Bottom-Up Generator for Variational Quantum Circuits”. Under Revision at IEEE Transcations on Quantum Engineering (arxiv)
• Ruiyang Qin, Zhiding Liang, Jinglei Cheng, Peter Kogge, Yiyu Shi, “Improving Quantum Classifier Performance in NISQ Computers by Voting Strategy from Ensemble Learning”. (arxiv)
• Hanrui Wang, Junyu 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. “Graph Transformer for Quantum Circuit Reliability Prediction”. Accepted to the Proceedings of the 41th International Conference On Computer-Aided Design (ICCAD 2022).
• Zhepeng Wang, Zhiding Liang, Shanglin Zhou, Caiwen Ding, Yiyu Shi, Weiwen Jiang, “Exploration of Quantum Neural Architecture by Mixing Quantum Neuron Designs”. Published in the Proceedings of the 40th International Conference On Computer-Aided Design (ICCAD 2021).

Selected Talks

• Tutorial: TorchQuantum Case Study For Robust Quantum Circuits, International Conference On Computer-Aided Design (ICCAD), 2022
• Tutorial on TorchQuantum: A Fast Library for Parameterized Quantum Circuits, IEEE Quantum Week (QuantumWeek), 2022
• QuCS: A Lecture Series on Quantum Computer Software and System, IEEE Quantum Week (QuantumWeek), 2022
• Scalable Design-Program-Compilation Optimizations for Quantum Algorithms, Design Automation Conference (DAC), 2022
• A Quantum Machine Learning Co-Design Framework Towards Quantum Advantage, International Conference On Computer-Aided Design (ICCAD), 2021
• Tutorial of QuantumFlow, Embedded Systems Week (ESWEEK), 2021

Activity and Service

• Organizer of QuCS: Quantum Computer Systems Lecture Series
• Journal Reviewer: Quantum Information Processing
• Conference Reviewer: Neurips 2023, Quantum 22’ (Workshop in ACM/IEEE SEC)
• PC Member: QSEEC 2023
• Teaching Assistant. Operating System. University of Notre Dame (Silicon Valley Campus). 2022Spring
• Teaching Assistant. System Programming. University of Notre Dame. 2021Fall

Collaborators