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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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