Convolutional Neural Networks have the limitation that they learn inefficiently if the data or model dimension is very large.So,Seunghyeok Oh et al.showed how to make use of quantum computation and CNN to develop a more efficient and outperforming technique that can be applied to solve complex machine learning tasks.This technique which integrates both CNN and quantum computing is referred o as Quantum Convolutional Neural Network(QCNN).In this post, we will have an in-depth understanding of QCNN with its paradigm and applications.The following r the key points to be discussed in this article.