14 citations · 39 across the 11 of their papers we have counts for
5 papers · 1 filter
On Repairing Quantum Programs Using ChatGPT
Xiaoyu Guo, Jianjun Zhao, Pengzhan Zhao
Automated Program Repair (APR) is a vital area in software engineering aimed at generating automatic patches for vulnerable programs. While numerous techniques have been proposed f…
An Empirical Study of Bugs in Quantum Machine Learning Frameworks
Pengzhan Zhao, Xiongfei Wu, Junjie Luo +2
Quantum computing has emerged as a promising domain for the machine learning (ML) area, offering significant computational advantages over classical counterparts. With the growing…
QChecker: Detecting Bugs in Quantum Programs via Static Analysis
Pengzhan Zhao, Xiongfei Wu, Zhuo Li +1
Static analysis is the process of analyzing software code without executing the software. It can help find bugs and potential problems in software that may only appear at runtime.…
Bugs4Q: A Benchmark of Real Bugs for Quantum Programs
Pengzhan Zhao, Jianjun Zhao, Zhongtao Miao +1
Realistic benchmarks of reproducible bugs and fixes are vital to good experimental evaluation of debugging and testing approaches. However, there is no suitable benchmark suite tha…
Identifying Bug Patterns in Quantum Programs
Pengzhan Zhao, Jianjun Zhao, Lei Ma
Bug patterns are erroneous code idioms or bad coding practices that have been proved to fail time and time again, which are usually caused by the misunderstanding of a programming…