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Quantum computing and artificial intelligence: status and perspectives

Fuente: arXiv

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Bibliographic Details
Main Authors:	Acampora, Giovanni, Ambainis, Andris, Ares, Natalia, Banchi, Leonardo, Bhardwaj, Pallavi, Binosi, Daniele, Briggs, G. Andrew D., Calarco, Tommaso, Dunjko, Vedran, Eisert, Jens, Ezratty, Olivier, Erker, Paul, Fedele, Federico, Gil-Fuster, Elies, Gärttner, Martin, Granath, Mats, Heyl, Markus, Kerenidis, Iordanis, Klusch, Matthias, Kockum, Anton Frisk, Kueng, Richard, Krenn, Mario, Lässig, Jörg, Macaluso, Antonio, Maniscalco, Sabrina, Marquardt, Florian, Michielsen, Kristel, Muñoz-Gil, Gorka, Müssig, Daniel, Nautrup, Hendrik Poulsen, Neubauer, Sophie A., van Nieuwenburg, Evert, Orus, Roman, Schmiedmayer, Jörg, Schmitt, Markus, Slusallek, Philipp, Vicentini, Filippo, Weitenberg, Christof, Wilhelm, Frank K.
Format:	Preprint
Published:	2025
Subjects:	Quantum Physics Artificial Intelligence Machine Learning
Online Access:	Acceder al recurso
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author	Acampora, Giovanni Ambainis, Andris Ares, Natalia Banchi, Leonardo Bhardwaj, Pallavi Binosi, Daniele Briggs, G. Andrew D. Calarco, Tommaso Dunjko, Vedran Eisert, Jens Ezratty, Olivier Erker, Paul Fedele, Federico Gil-Fuster, Elies Gärttner, Martin Granath, Mats Heyl, Markus Kerenidis, Iordanis Klusch, Matthias Kockum, Anton Frisk Kueng, Richard Krenn, Mario Lässig, Jörg Macaluso, Antonio Maniscalco, Sabrina Marquardt, Florian Michielsen, Kristel Muñoz-Gil, Gorka Müssig, Daniel Nautrup, Hendrik Poulsen Neubauer, Sophie A. van Nieuwenburg, Evert Orus, Roman Schmiedmayer, Jörg Schmitt, Markus Slusallek, Philipp Vicentini, Filippo Weitenberg, Christof Wilhelm, Frank K.
author_facet	Acampora, Giovanni Ambainis, Andris Ares, Natalia Banchi, Leonardo Bhardwaj, Pallavi Binosi, Daniele Briggs, G. Andrew D. Calarco, Tommaso Dunjko, Vedran Eisert, Jens Ezratty, Olivier Erker, Paul Fedele, Federico Gil-Fuster, Elies Gärttner, Martin Granath, Mats Heyl, Markus Kerenidis, Iordanis Klusch, Matthias Kockum, Anton Frisk Kueng, Richard Krenn, Mario Lässig, Jörg Macaluso, Antonio Maniscalco, Sabrina Marquardt, Florian Michielsen, Kristel Muñoz-Gil, Gorka Müssig, Daniel Nautrup, Hendrik Poulsen Neubauer, Sophie A. van Nieuwenburg, Evert Orus, Roman Schmiedmayer, Jörg Schmitt, Markus Slusallek, Philipp Vicentini, Filippo Weitenberg, Christof Wilhelm, Frank K.
contents	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.
format	Preprint
id	arxiv_https___arxiv_org_abs_2505_23860
institution	arXiv
publishDate	2025
record_format	arxiv
spellingShingle	Quantum computing and artificial intelligence: status and perspectives Acampora, Giovanni Ambainis, Andris Ares, Natalia Banchi, Leonardo Bhardwaj, Pallavi Binosi, Daniele Briggs, G. Andrew D. Calarco, Tommaso Dunjko, Vedran Eisert, Jens Ezratty, Olivier Erker, Paul Fedele, Federico Gil-Fuster, Elies Gärttner, Martin Granath, Mats Heyl, Markus Kerenidis, Iordanis Klusch, Matthias Kockum, Anton Frisk Kueng, Richard Krenn, Mario Lässig, Jörg Macaluso, Antonio Maniscalco, Sabrina Marquardt, Florian Michielsen, Kristel Muñoz-Gil, Gorka Müssig, Daniel Nautrup, Hendrik Poulsen Neubauer, Sophie A. van Nieuwenburg, Evert Orus, Roman Schmiedmayer, Jörg Schmitt, Markus Slusallek, Philipp Vicentini, Filippo Weitenberg, Christof Wilhelm, Frank K. Quantum Physics Artificial Intelligence Machine Learning 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.
title	Quantum computing and artificial intelligence: status and perspectives
topic	Quantum Physics Artificial Intelligence Machine Learning
url	https://arxiv.org/abs/2505.23860