An Interpretable Quantum Adjoint Convolutional Layer for Image Classification
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The interpretability of quantum machine learning (QML) refers to the capability to provide clear and understandable explanations for the predictions and decision-making processes of QML models. However, most quantum convolutional layers (QCLs) utilize closed-b... ...
