Quantum computing (QC) has opened the door to advancements in machine learning (ML) tasks that are currently implemented in the classical domain. Convolutional neural networks (CNNs) are classical ML architectures that exploit data locality and possess a simpler structure than a fully connected multi-layer perceptrons (MLPs) without compromising the accuracy of classification. However... https://www.marketingjeunesse.com/product-category/womens-thickening-shampoo/
Leveraging Data Locality in Quantum Convolutional Classifiers
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