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DEVELOPMENT OF HYBRID QUANTUM-CLASSICAL MODELS FOR COMPUTER VISION

This research explores the integration of quantum computing with classical machine learning to enhance data classification tasks using Quantum Neural Networks (QNN) and Parameterized Quantum Circuits (PQC). The hybrid approach leverages the advantages of both quantum and classical systems to improv...

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Asıl Yazarlar: Aksultan Mukhanbet, Nurtugan Azatbekuly, Beimbet Daribayev
Materyal Türü: Artigo
Dil:Inglês
Baskı/Yayın Bilgisi: Al-Farabi Kazakh National University 2025-04-01
Seri Bilgileri:Journal of Problems in Computer Science and Information Technologies
Konular:
quantum neural networks
hybrid computing
data classification
machine learning
gradient descent
Online Erişim:https://jpcsit.kaznu.kz/index.php/kaznu/article/view/185
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