Quantum image classification using principal component analysis

Abstract

We present a novel quantum algorithm for classification of images. The algorithm is constructed using principal component analysis and von Neuman quantum measurements. In order to apply the algorithm we present a new quantum representation of grayscale images.

9 pages

References in corpus (1)

• Quantum algorithms for supervised and unsupervised machine learning

Cited by in corpus (3)

• Pattern recognition on the quantum Bloch sphere
• Quantum Image Processing -- Challenges and Future Research Issues
• FRQI Pairs method for image classification using Quantum Recurrent Neural Network