This white paper discusses and explores the various points of intersection<br>between quantum computing and artificial intelligence (AI). It describes how<br>quantum computing could support the development of innovative AI solutions. It<br>also examines use cases of classical AI that can empower research and<br>development in quantum technologies, with a focus on quantum computing and<br>quantum sensing. The purpose of this white paper is to provide a long-term<br>research agenda aimed at addressing foundational questions about how AI and<br>quantum computing interact and benefit one another. It concludes with a set of<br>recommendations and challenges, including how to orchestrate the proposed<br>theoretical work, align quantum AI developments with quantum hardware roadmaps,<br>estimate both classical and quantum resources - especially with the goal of<br>mitigating and optimizing energy consumption - advance this emerging hybrid<br>software engineering discipline, and enhance European industrial<br>competitiveness while considering societal implications.