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Systematic Literature Review of Quantum Convolutional Neural Networks and Circuit Optimization

Quantum convolutional neural networks (QCNNs) are emerging as promising models in quantum machine learning, particularly for image classification and computer vision tasks. Recent developments include hybrid classical–quantum architectures, advanced quantum encoding methods, and novel circuit design...

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Autori principali: Aksultan Mukhanbet, Paulo Trigo, Beimbet Daribayev, Darkhan Akhmed-Zaki
Natura: Artigo
Lingua:Inglês
Pubblicazione: MDPI AG 2026-06-01
Serie:Algorithms
Soggetti:
quantum convolutional neural networks (QCNN)
quantum neural networks (QNN)
computer vision
quantum machine learning (QML)
image classification
quantum computing
Accesso online:https://www.mdpi.com/1999-4893/19/6/490
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