3οΈβ£ rd year Ph.D. Student
π« Kyushu University
π Quantum computing, Software testing
π± Iβm currently learning quantum machine learning...
π Zhao, P., Miao, Z., and Lan, S., Zhao, J. Bugs4Q: A benchmark of existing bugs to enable controlled testing and debugging studies for quantum programs, Journal of Systems and Software, Volume 205, 2023, 111805, ISSN 0164-1212.
π Zhao, P., Wu, X., Luo, J., Li, Z., Zhao, J. (2023, July). An Empirical Study of Bugs in Quantum Machine Learning Frameworks. Best student paper of the IEEE International Conference on Quantum Software (QSW 2023) (pp. 68-75).
π Zhao, P., Wu, X., Li, Z., Zhao, J. (2023, May). QChecker: Detecting Bugs in Quantum Programs via Static Analysis. The 4th International Workshop on Quantum Software Engineering (Q-SE 2023) (pp. 50-57).
π Zhao, P., Zhao, J., and Ma, L. (2021, June). Identifying bug patterns in quantum programs. In 2021 IEEE/ACM 2nd International Workshop on Quantum Software Engineering (Q-SE 2021) (pp. 16-21). IEEE.
π Zhao, P., Zhao, J., Miao, Z., and Lan, S. (2021, November). Bugs4Q: A benchmark of real bugs for quantum programs. In 2021 36th IEEE/ACM International Conference on Automated Software Engineering (ASE 2021) (pp. 1373-1376). IEEE.
π J. Luo, P. Zhao, Z. Miao, S. Lan and J. Zhao, "A Comprehensive Study of Bug Fixes in Quantum Programs," in 2022 IEEE International Conference on Software Analysis, Evolution and Reengineering (Q-SANER 2022), Honolulu, HI, USA, 2022 (pp. 1239-1246).
π Ph.D. Student at Kyushu University, supervised by Prof. Jianjun Zhao
π M.S. Degree from Hebei Normal University, supervised by Prof. Jinghong Wang