On Classifying Images using Quantum Image Representation

TL;DR

This paper explores quantum image representation methods and applies quantum machine learning to classify both grayscale and color images, demonstrating promising results on benchmark datasets.

Contribution

It introduces the use of quantum image representations combined with quantum classifiers for image classification, including multi-class scenarios.

Findings

Successful classification of grayscale and color images

Effective multi-class classification performance

Promising results on benchmark datasets

Abstract

In this paper, we consider different Quantum Image Representation Methods to encode images into quantum states and then use a Quantum Machine Learning pipeline to classify the images. We provide encouraging results on classifying benchmark datasets of grayscale and colour images using two different classifiers. We also test multi-class classification performance.