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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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Autores principales: Aksultan Mukhanbet, Nurtugan Azatbekuly, Beimbet Daribayev
Formato: Artigo
Lenguaje:Inglês
Publicado: Al-Farabi Kazakh National University 2025-04-01
Colección:Journal of Problems in Computer Science and Information Technologies
Materias:
quantum neural networks
hybrid computing
data classification
machine learning
gradient descent
Acceso en línea:https://jpcsit.kaznu.kz/index.php/kaznu/article/view/185
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