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 MaioSecondo
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 algorithmI documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
