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@ARTICLE{Klusch:1034976,
author = {Klusch, Matthias and Lässig, Jörg and Müssig, Daniel and
Macaluso, Antonio and Wilhelm, Frank K.},
title = {{Q}uantum {A}rtificial {I}ntelligence: {A} {B}rief
{S}urvey},
journal = {Künstliche Intelligenz},
volume = {38},
number = {4},
issn = {0933-1875},
address = {Berlin},
publisher = {Springer},
reportid = {FZJ-2025-00082},
pages = {257 - 276},
year = {2024},
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.},
cin = {PGI-12},
ddc = {004},
cid = {I:(DE-Juel1)PGI-12-20200716},
pnm = {5215 - Towards Quantum and Neuromorphic Computing
Functionalities (POF4-521) / Verbundprojekt, Quantum
Artificial Intelligence for the Automotive Industry (Q(AI)2)
- Teilvorhaben: Implementierung, Benchmarking, und
Management (13N15584)},
pid = {G:(DE-HGF)POF4-5215 / G:(BMBF)13N15584},
typ = {PUB:(DE-HGF)16},
UT = {WOS:001347282900001},
doi = {10.1007/s13218-024-00871-8},
url = {https://juser.fz-juelich.de/record/1034976},
}