Quantum Convolutional Neural Networks with Interaction Layers for Classification of Classical Data

arXiv:2307.11792v3 Announce Type: replace-cross
Abstract: Quantum Machine Learning (QML) has come into the limelight due to the exceptional computational abilities of quantum computers. With the promises of near error-free quantum computers in the not-so-distant future, it is important that the effect of multi-qubit interactions on quantum neural networks is studied extensively. This paper introduces a Quantum Convolutional Network with novel Interaction layers exploiting three-qubit interactions, while studying the network's expressibility and entangling capability, for classifying both image and one-dimensional data. …

abstract arxiv classification computational computers convolutional neural networks cs.lg data error free future interactions machine machine learning near networks neural networks qml quant-ph quantum quantum computers quantum neural networks qubit type