Quantum Artificial Intelligence: A Brief Survey
Abstract Quantum Artificial Intelligence (QAI) is the intersection of quantum computing and AI, a technological synergy with expected significant benefits for both. In this paper, we provide a brief overview of what has been achieved in QAI so far and point to some open questions for future research. In particular, we summarize some major key findings on the feasability and the potential of using quantum computing for solving computationally hard problems in various subfields of AI, and vice versa, the leveraging of AI methods for building and operating quantum computing devices.
Authors
- Frank K. Wilhelm (ORCID: https://orcid.org/0000-0003-1034-8476)
- Antonio Macaluso (ORCID: https://orcid.org/0000-0002-1348-250X)
- Daniel Müssig (ORCID: https://orcid.org/0000-0002-2345-1475)
- Matthias Klusch (ORCID: https://orcid.org/0009-0009-5431-8640)
- Jörg Lässig (ORCID: https://orcid.org/0000-0002-3169-3802)
Institutions
- Forschungszentrum Jülich (DE)
- German Research Centre for Artificial Intelligence (DE)
- Fraunhofer Institute of Optronics, System Technologies and Image Exploitation (DE)
- Zittau/Görlitz University of Applied Sciences (DE)
Publication Details
- Journal
- KI - Künstliche Intelligenz
- Published
- 2024-11-04
- DOI
- https://doi.org/10.1007/s13218-024-00871-8
- Citations
- 27
- Primary Topic
- Quantum Computing Algorithms and Architecture
- Type
- article
- Field-Weighted Citation Impact
- 9.38
Funders
- Bundesministerium für Bildung und Forschung
- Forschungszentrum Jülich