Jinglei Cheng (J.C.)

Jinglei Cheng (J.C.)

I'm a CS PhD student at Purdue University. My research interests include quantum computing and computer architecture.

About me

Hi, welcome to Jinglei Cheng’s homepage!~

I am currently a Ph.D. student in the Department of Computer Science at Purdue University. My advisor is Associate Professor. Xuehai Qian.

I received my Bachelor’s Degree from Tsinghua University in 2018, where I was working with Professor. Tianling Ren and Professor. Shouyi Yin.

Before transfering to Purdue in Fall 2022, I spent four years (2018~2022) in Viterbi School of Engineering at University of Southern California as a Ph.D. student.

Research

My research interests lie in the area of Quantum Computing. I am working on projects that can enhance the performance of existing quantum devices by decreasing compilation overhead and circuit latency. To optimize the compilation workflow for applications such as Variational Quantum Eigensolver (VQE) and Quantum Machine Learning (QML), different techniques such as quantum optimal control and graph transformer are used.

Education

  • Purdue University. PhD student in Computer Science. 2022-2024 (Expected)
  • University of Southern California. PhD student in Electrical Engineering. 2018-2022 (Transfered to Purdue)
  • University of Southern California. M.S. in Electrical Engineering. 2018-2020
  • Tsinghua University. B.E. in Microelectronics. 2014-2018

Publications

  • Jinglei Cheng, Zhiding Liang, Rui Yang, Hang Ren, Yiyu Shi, Tongyang Li, Xuehai Qian, “Fidelity estimator, randomized benchmarking and ZNE for quantum pulses”. arXiv preprint arXiv:2305.12597, 2023. (PDF)
  • Zhiding Liang, Jinglei Cheng, Song Zhixin, Hang Ren, Rui Yang, Hanrui Wang, Kecheng Liu, Peter Kogge, Tongyang Li, Yongshan Ding, Yiyu Shi, “Towards advantages of parameterized quantum pulses”. arXiv preprint arXiv:2304.09253, 2023. (PDF)
  • Zhiding Liang, Gang Liu, Zheyuan Liu, Jinglei Cheng, Tianyi Hao, Kecheng Liu, Hang Ren, Zhixin Song, Ji Liu, Fanny Ye, Yiyu Shi, “Graph Learning for Parameter Prediction of Quantum Approximate Optimization Algorithm”. arXiv preprint arXiv:2403.03310, 2024. (PDF)
  • Zhiding Liang, Zhixin Song, Jinglei Cheng, Hang Ren, Tianyi Hao, Rui Yang, Yiyu Shi, Tongyang Li, “SpacePulse: Combining Parameterized Pulses and Contextual Subspace for More Practical VQE”. arXiv preprint arXiv:2311.17423, 2023. (PDF)
  • 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, “Robuststate: Boosting fidelity of quantum state preparation via noise-aware variational training”. arXiv preprint arXiv:2311.16035, 2023. (PDF)
  • Zhiding Liang, Jinglei Cheng, Hang Ren, Hanrui Wang, Fei Hua, Zhixin Song, Yongshan Ding, Frederic T Chong, Song Han, Xuehai Qian, Yiyu Shi, “NAPA: intermediate-level variational native-pulse ansatz for variational quantum algorithms”. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2024. (PDF)
  • Zhiding Liang, Jinglei Cheng, Rui Yang, Hang Ren, Zhixin Song, Di Wu, Xuehai Qian, Tongyang Li, Yiyu Shi, “Unleashing the potential of llms for quantum computing: A study in quantum architecture design”. arXiv preprint arXiv:2307.08191, 2023. (PDF)
  • Keyu Ning, Houfang Liu, Zhenyi Ju, Chi Fang, Caihua Wan, Jinglei Cheng, Xiao Liu, Linsen Li, Jiafeng Feng, Hongxiang Wei, Xiufeng Han, Yi Yang, Tian-Ling Ren, “Magneto-Seebeck effect in magnetic tunnel junctions with perpendicular anisotropy”. AIP Advances, 2017. (PDF)
  • 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”. 2023 Design Automation Conference (DAC), 2022. (PDF)
  • 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, “Quest: Graph transformer for quantum circuit reliability estimation”. arXiv preprint arXiv:2210.16724, 2022. (PDF)
  • Jinglei Cheng, Hanrui Wang, Zhiding Liang, Yiyu Shi, Song Han, Xuehai Qian, “Topgen: Topology-aware bottom-up generator for variational quantum circuits”. arXiv preprint arXiv:2210.08190, 2022. (PDF)
  • Ruiyang Qin, Zhiding Liang, Jinglei Cheng, Peter Kogge, Yiyu Shi, “Improving quantum classifier performance in nisq computers by voting strategy from ensemble learning”. arXiv preprint arXiv:2210.01656, 2022. (PDF)
  • Youwei Zhuo, Jinglei Cheng, Qinyi Luo, Jidong Zhai, Yanzhi Wang, Zhongzhi Luan, Xuehai Qian, “CSE: Parallel finite state machines with convergence set enumeration”. 2018 51st Annual IEEE/ACM International Symposium on Microarchitecture (MICRO), 2018. (PDF)
  • 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, “Variational quantum pulse learning”. 2022 IEEE International Conference on Quantum Computing and Engineering (QCE), 2022. (PDF)
  • Jinglei Cheng, Haoqing Deng, Xuehai Qian, “Accqoc: Accelerating quantum optimal control based pulse generation”. 2020 ACM/IEEE 47th Annual International Symposium on Computer Architecture (ISCA), 2020. (PDF)