Quantum Convolutional Neural Networks are a class of quantum machine learning models that combine the principles of quantum computing with convolutional neural networks. They leverage quantum parallelism to enhance the ability to process complex data structures, making them particularly suited for tasks like image recognition and classification, while also holding potential for applications in finance and optimization problems.
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