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Quantum Artificial Intelligence for Coordination and Cooperation

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In the sub-project QAICO (Quantum AI for Coordination and Cooperation) of the joint project QAI2 (Quantum AI for Automotive Industry), DFKI is researching the possibilities and potential of quantum AI for computationally difficult AI problems of action coordination and cooperation. The focus of the application is on problems underlying dynamic, flexible production flow planning in the context of Industry 4.0, collision-free navigation of self-driving cars, and the formation of coalitions for optimal, cooperative service.

In particular, it is investigated to what extent an adaptation for quantum computing by means of suitable existing and, if necessary, further developed quantum algorithms into corresponding hybrid quantum AI methods is theoretically feasible and reasonable for which functional aspects and subproblem solutions of the selected, classical solution methods. Furthermore, in addition to a simulation on a classical computer, a possible execution of the prototypically implemented quantum AI methods on a real quantum computer is also the subject of the investigations in QAICO. Methods and data will be made available in an open software library of the overall Q(AI)2 project.


Forschungszentrum Jülich, Bosch, DFKI, BMW, Mercedes-Benz, Volkswagen


BMBF - Federal Ministry of Education and Research


BMBF - Federal Ministry of Education and Research

Publications about the project

Antonio Macaluso; Luca Clissa; Stefano Lodi; Claudio Sartori

In: IET Quantum Communication, Vol. 1, Pages 1-16, Wiley, 1/2024.

To the publication

Matteo Antonio Inajetovic; Filippo Orazi; Antonio Macaluso; Stefano Lodi; Claudio Sartori

In: CCS 2023 Conference Proceedings. International Conference on Computational Science (ICCS-2023), July 3-5, Prague, Czech Republic, Pages 177-192, Vol. 10477, ISBN 978-3-031-36030-5, Springer, 7/2023.

To the publication

Antonio Macaluso; Matthias Klusch; Stefano Lodi; Claudio Sartori

In: Quantum Information Processing (QIP), Vol. 22, Pages X-X, Springer Nature, 2023.

To the publication