Quantum Artificial Intelligence for Software Engineering: the Road Ahead

• URL: http://arxiv.org/abs/2505.04797v1
• Date: Wed, 07 May 2025 20:47:18 GMT
• Title: Quantum Artificial Intelligence for Software Engineering: the Road Ahead
• Authors: Xinyi Wang, Shaukat Ali, Paolo Arcaini,
• Abstract summary: Quantum AI (QAI) holds significant potential for solving classical software engineering problems.<n>Some initial applications of QAI in software engineering have already emerged, such as software test optimization.<n>This paper presents open research opportunities and challenges in QAI for software engineering that need to be addressed.
• Score: 41.52375818551277
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: Artificial Intelligence (AI) has been applied to various areas of software engineering, including requirements engineering, coding, testing, and debugging. This has led to the emergence of AI for Software Engineering as a distinct research area within software engineering. With the development of quantum computing, the field of Quantum AI (QAI) is arising, enhancing the performance of classical AI and holding significant potential for solving classical software engineering problems. Some initial applications of QAI in software engineering have already emerged, such as software test optimization. However, the path ahead remains open, offering ample opportunities to solve complex software engineering problems with QAI cost-effectively. To this end, this paper presents open research opportunities and challenges in QAI for software engineering that need to be addressed.

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