Quantum computing and artificial intelligence: status and perspectives

TL;DR

This white paper explores the intersection of quantum computing and artificial intelligence, discussing potential support, use cases, and a long-term research agenda to enhance their integration and societal impact.

Contribution

It provides a comprehensive overview of how quantum computing can support AI development and vice versa, proposing a long-term research agenda and strategic recommendations.

Findings

Quantum computing can support innovative AI solutions.

Classical AI can enhance quantum research and development.

Recommendations for aligning AI and quantum hardware roadmaps.

Abstract

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.