On Classifying Images using Quantum Image Representation

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.

5 pages, 7 figures, 5 tables

References in corpus (2)

• MNIST-C: A Robustness Benchmark for Computer Vision
• On Classifying Images using Quantum Image Representation

Cited by in corpus (1)

• On Classifying Images using Quantum Image Representation