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Quantum computing and artificial intelligence: status and perspectives

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Appendix:32 Pages
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.

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@article{acampora2025_2505.23860,
  title={ Quantum computing and artificial intelligence: status and perspectives },
  author={ Giovanni Acampora and Andris Ambainis and Natalia Ares and Leonardo Banchi and Pallavi Bhardwaj and Daniele Binosi and G. Andrew D. Briggs and Tommaso Calarco and Vedran Dunjko and Jens Eisert and Olivier Ezratty and Paul Erker and Federico Fedele and Elies Gil-Fuster and Martin Gärttner and Mats Granath and Markus Heyl and Iordanis Kerenidis and Matthias Klusch and Anton Frisk Kockum and Richard Kueng and Mario Krenn and Jörg Lässig and Antonio Macaluso and Sabrina Maniscalco and Florian Marquardt and Kristel Michielsen and Gorka Muñoz-Gil and Daniel Müssig and Hendrik Poulsen Nautrup and Sophie A. Neubauer and Evert van Nieuwenburg and Roman Orus and Jörg Schmiedmayer and Markus Schmitt and Philipp Slusallek and Filippo Vicentini and Christof Weitenberg and Frank K. Wilhelm },
  journal={arXiv preprint arXiv:2505.23860},
  year={ 2025 }
}
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