一句话：挖掘 1,404 条 Stack Overflow 帖子，刻画量子计算开发者关注的主题、工具与算法及其问题难度。
量子计算正走向工业落地，理解开发者如何实际使用量子技术十分重要。本文分析 Stack Overflow 上 1,404 条量子计算相关帖子，涵盖量子编程、工具与算法，用主题建模与定量分析识别主要讨论主题及热度，并统计提及的工具、语言与量子算法；同时以无接受答案比例和获得接受答案的中位时间衡量问题难度。结果显示七大主题中，混合量子—经典计算与量子线路实现最普遍；Qiskit 与 Q# 主导讨论，Grover 与 Shor 算法被引用最多；各主题、工具与算法在参与度和难度上存在差异，反映成熟度与社区支持不一。作者公开数据集以支持复现，并为研究者、工具开发者与教育者提供改进可用性、文档与学习资源的启示。
Quantum computing (QC) is increasingly transitioning toward practical and industrial adoption, highlighting the need to understand how developers engage with quantum technologies. In this study, we analyze 1,404 Stack Overflow posts related to quantum computing topics, including quantum programming, tools, and algorithms, to investigate real-world developer discussions. Using topic modeling and quantitative analysis, we identify the main discussion topics, their popularity, and the tools, programming languages, and quantum algorithms referenced by practitioners. We further assess the difficulty of developer questions using two metrics: (i) the percentage of questions without accepted answers and (ii) the median time required to receive an accepted answer. Our findings reveal seven main topics, with hybrid quantum-classical computing and quantum circuit implementation emerging as the most prevalent. We observe that Qiskit and Q# dominate developer discussions, while Grover's and Shor's algorithms are the most frequently referenced. Moreover, our analysis highlights differences in engagement and difficulty across topics, tools, and algorithms, indicating varying levels of maturity and community support. These findings provide actionable insights for researchers, tool developers, and educators, supporting improvements in usability, documentation, and learning resources in quantum software engineering. To support transparency and reproducibility, the open-source dataset used in this study is publicly available at [28].
DOI 原文 · arXiv · PDF（开放获取） · DBLP
@inproceedings{abs-2604-15512,
title = {Empirical Investigation of Quantum Computing Toolchains and Algorithms : Mining Stack Overflow Repository},
author = {Maryam Tavassoli Sabzevari and Arif Ali Khan},
booktitle = {FSE},
year = {2026},
doi = {10.1145/3803437.3807520}
}