Selective re-encoding of top PCA features inside a QCNN, plus joint optimization of a PCA-based and an autoencoder-based QCNN, improves binary image classification accuracy on MNIST and Fashion-MNIST over the paper's baselines.
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Selective Feature Re-Encoded Quantum Convolutional Neural Network with Joint Optimization for Image Classification
Selective re-encoding of top PCA features inside a QCNN, plus joint optimization of a PCA-based and an autoencoder-based QCNN, improves binary image classification accuracy on MNIST and Fashion-MNIST over the paper's baselines.