探索量子计算与人工智能的交叉潜力，提出协同发展路线图。
Quantum computing and artificial intelligence: status and perspectives
- 分析量子计算如何赋能AI创新，反之亦然。
- 提出跨领域协同研究的长期目标与关键挑战。
- 适合关注量子-智能融合、政策规划的研究者与决策者。
本文白皮书探讨了量子计算与人工智能（AI）之间的多重交集。阐述了量子计算在推动创新性AI解决方案发展中的潜力，同时分析了经典AI在量子技术研究与开发中的应用案例，重点关注量子计算与量子传感。旨在制定一项长期研究议程，以解决AI与量子计算相互作用及互利的基础性问题。文末提出一系列建议与挑战，包括如何协调理论工作、使量子AI发展与量子硬件路线图对齐、估算经典与量子资源消耗（尤其关注能效优化）、推进这一新兴的混合软件工程领域，并提升欧洲产业竞争力，同时考虑社会影响。
原文摘要 · Abstract (English)
This white paper discusses and explores the various points of intersection between quantum computing and artificial intelligence (AI). It describes how quantum computing could support the development of innovative AI solutions. It also examines use cases of classical AI that can empower research and development in quantum technologies, with a focus on quantum computing and quantum sensing. The purpose of this white paper is to provide a long-term research agenda aimed at addressing foundational questions about how AI and quantum computing interact and benefit one another. It concludes with a set of recommendations and challenges, including how to orchestrate the proposed theoretical work, align quantum AI developments with quantum hardware roadmaps, estimate both classical and quantum resources - especially with the goal of mitigating and optimizing energy consumption - advance this emerging hybrid software engineering discipline, and enhance European industrial competitiveness while considering societal implications.
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