pith. sign in

arxiv: quant-ph/0401016 · v1 · submitted 2004-01-05 · 🪐 quant-ph

Quantum-implemented selective reconstruction of high-resolution images

classification 🪐 quant-ph
keywords imagereconstructionhopfieldimplementationalmostarbitrarilyassociativebases
0
0 comments X
read the original abstract

This paper proposes quantum image reconstruction. Input-triggered selection of an image among many stored ones, and its reconstruction if the input is occluded or noisy, has been simulated by a computer program implementable in a real quantum-physical system. It is based on the Hopfield associative net; the quantum-wave implementation bases on holography. The main limitations of the classical Hopfield net are much reduced with the new, original -- quantum-optical -- implementation. Image resolution can be almost arbitrarily increased.

This paper has not been read by Pith yet.

discussion (0)

Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.