Quantum convolutional neural network for image classification

• Published in: Pattern analysis and applications : PAA Vol. 26; no. 2; pp. 655 - 667
• Main Authors: Chen, Guoming, Chen, Qiang, Long, Shun, Zhu, Weiheng, Yuan, Zeduo, Wu, Yilin
• Format: Journal Article
• Language: English
• Published: London Springer London 01.05.2023; Springer Nature B.V
• Subjects: Artificial neural networks; Classification; Classifiers; Computer Science; Feature extraction; Image classification; Image enhancement; Ising model; Neural networks; Pattern Recognition; Performance enhancement; Phase transitions; Short Paper; MERA circuit; Box-counting; Quantum convolutional neural network; Tensorflow quantum; Image classification

In this paper we propose two scale-inspired local feature extraction methods based on Quantum Convolutional Neural Network (QCNN) in the Tensorflow quantum framework for binary image classification. The image data is properly downscaled with Multi-scale Entanglement Renormalization Ansatz and Box-co...