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Quantum Machine Learning
Quantum Artificial Intelligence: A Brief Survey
arXiv
Authors: Matthias Klusch, Jörg Lässig, Daniel Müssig, Antonio Macaluso, Frank K. Wilhelm
Year
2024
Paper ID
64085
Status
Preprint
Abstract Read
~2 min
Abstract Words
90
Citations
N/A
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.
Why This Paper Matters
- This paper contributes to the Quantum Machine Learning research area in the Quantum Articles archive.
- It adds a 2024 reference point for readers tracking recent quantum research.
- Quantum Artificial Intelligence (QAI) is the intersection of quantum computing and AI, a technological synergy with expected significant benefits for both.
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