The application of quantum computing to the field of image processing has produced several promising applications: quantum image representation techniques have been developed showing how, by taking advantage of quantum properties like entanglement and superposition, many image processing algorithms could have an exponential speed-up in comparison to their “classical” counterparts. In this paper, after briefly discussing some of the main quantum image representation methods, we propose an improved version of a quantum edge detection algorithm

Giacomo Cavalieri, Dario Maio (2020). A Quantum Edge Detection Algorithm. Cornell University, ArXiv.org [arXiv:2012.11036].

A Quantum Edge Detection Algorithm

Dario Maio
Secondo
2020

Abstract

The application of quantum computing to the field of image processing has produced several promising applications: quantum image representation techniques have been developed showing how, by taking advantage of quantum properties like entanglement and superposition, many image processing algorithms could have an exponential speed-up in comparison to their “classical” counterparts. In this paper, after briefly discussing some of the main quantum image representation methods, we propose an improved version of a quantum edge detection algorithm
2020
Giacomo Cavalieri, Dario Maio (2020). A Quantum Edge Detection Algorithm. Cornell University, ArXiv.org [arXiv:2012.11036].
Giacomo Cavalieri; Dario Maio
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/786407
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