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| Main Authors: | , , , , |
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| Format: | Preprint |
| Published: |
2024
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2408.10726 |
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| _version_ | 1866914917741756416 |
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| author | Klusch, Matthias Lässig, Jörg Müssig, Daniel Macaluso, Antonio Wilhelm, Frank K. |
| author_facet | Klusch, Matthias Lässig, Jörg Müssig, Daniel Macaluso, Antonio Wilhelm, Frank K. |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2408_10726 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Quantum Artificial Intelligence: A Brief Survey Klusch, Matthias Lässig, Jörg Müssig, Daniel Macaluso, Antonio Wilhelm, Frank K. Quantum Physics Artificial Intelligence 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. |
| title | Quantum Artificial Intelligence: A Brief Survey |
| topic | Quantum Physics Artificial Intelligence |
| url | https://arxiv.org/abs/2408.10726 |