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Quantum image classification using principal component analysis

Quantum Physics 2016-03-24 v1 Computer Vision and Pattern Recognition Machine Learning

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.

Keywords

Cite

@article{arxiv.1504.00580,
  title  = {Quantum image classification using principal component analysis},
  author = {Mateusz Ostaszewski and Przemysław Sadowski and Piotr Gawron},
  journal= {arXiv preprint arXiv:1504.00580},
  year   = {2016}
}

Comments

9 pages

R2 v1 2026-06-22T09:08:56.703Z