Quantum Artificial Intelligence for Software Engineering: the Road Ahead
Xinyi Wang, Shaukat Ali, Paolo Arcaini

TL;DR
This paper outlines a roadmap for applying Quantum AI to software engineering, highlighting potential benefits, current applications like test case optimization, and future challenges in leveraging quantum algorithms and machine learning.
Contribution
It introduces a comprehensive roadmap for integrating Quantum AI into software engineering, focusing on quantum optimization and machine learning approaches for various development phases.
Findings
Initial applications include test case optimization
Quantum algorithms can enhance software engineering tasks
Roadmap identifies key challenges for QAI adoption
Abstract
In order to handle the increasing complexity of software systems, 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 the field of 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 test case optimization. However, the path ahead remains open, offering ample opportunities to solve complex software engineering problems cost-effectively with QAI. To this end, this paper presents a roadmap towards the application of QAI in…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsQuantum Computing Algorithms and Architecture · Quantum Mechanics and Applications · Quantum Information and Cryptography
