US EditionQuantum Convolutional Networks Boost Image Classification Accuracy And Feature Processing
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Quantum Convolutional Networks Boost Image Classification Accuracy And Feature Processing
Recent advances in quantum machine learning, specifically utilising noisy intermediate-scale quantum (NISQ) devices and convolutional quantum neural networks (QCNNs), demonstrate enhanced image classification accuracy through a novel selective feature re-encoding strategy and a parallel-mode QCNN architecture that jointly optimises features extracted via Principal Component Analysis and Autoencoders, consistently outperforming traditional ensemb…
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