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Quantum Convolutional Neural Network on NISQ by 鄭旭凱 is a document available to read on EtoBox.

Wei et al. propose a quantum convolutional neural network (QCNN) designed for noisy intermediate-scale quantum (NISQ) devices, significantly reducing computational complexity compared to classical convolutional neural networks (CNN). The QCNN demonstrates effectiveness in image processing tasks such as smoothing, sharpening, and edge detection, as well as recognizing handwritten numbers. This model facilitates the direct transformation of CNNs into QCNNs, leveraging quantum capabilities to enhance informati

Author

鄭旭凱

Language

EN