Hybrid Quantum–Classical Neural Networks for Efficient MNIST Binary Image Classification

Hybrid Quantum–Classical Neural Networks for Efficient MNIST Binary Image Classification

Image classification is a fundamental task in deep learning, and recent advances in quantum computing have generated significant interest in quantum neural networks. Traditionally, Convolutional Neural Networks (CNNs) are employed to extract image features, while Multilayer Perceptrons (MLPs) handle...

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Bibliographic Details
Main Authors: Deepak Ranga, Sunil Prajapat, Zahid Akhtar, Pankaj Kumar, Athanasios V. Vasilakos
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:Mathematics
Subjects:
quantum computing
machine learning
Hybrid Quantum Neural Networks
MNIST dataset
Online Access:https://www.mdpi.com/2227-7390/12/23/3684
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