Quantum image classification using principal component analysis
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Abstract (arXiv)
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.
Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). First posted on arXiv 2 Apr 2015.
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