A Quantum Convolutional Network: a Comprehensive Review

EasyChair Preprint no. 11834

Abstract

In recent years, the intersection of quantum computing and deep learning has paved the way for innovative approaches in machine learning tasks. This research paper provides a thorough review of a groundbreaking study titled "A Quantum Convolutional Network and ResNet (50)-based Classification." The paper investigates the integration of quantum computing principles with classical deep learning architectures, specifically leveraging Quantum Convolutional Networks (QCN) in conjunction with the ResNet (50) architecture for classification tasks.

Keyphrases: Classification, images, quantum

@Booklet{EasyChair:11834,
  author = {Amal Ali},
  title = {A Quantum Convolutional Network: a Comprehensive Review},
  howpublished = {EasyChair Preprint no. 11834},

  year = {EasyChair, 2024}}