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Cosine series quantum sampling method with applications in signal and image processing

Authors :
Wereszczyński, Kamil
Michalczuk, Agnieszka
Pęszor, Damian
Paszkuta, Marcin
Cyran, Krzysztof
Polański, Andrzej
Publication Year :
2020

Abstract

A novel family of Cosine series Quantum Sampling (QCoSamp) operators appropriate for quantum computing is described. The development of quantum algorithms, analogous to classical algorithms, we apply to the harmonic analysis of signals. We show quantum sampling through measurements of a quantum system, and after operators of the family are applied, allow for input signal mapping with a Fourier series representation. Technical methodologies employed, facilitating the implementation of each QCoSamp algorithm to a quantum computer and application to the field of signal and image processing we also described. Keywords: quantum computing, quantum information theory, quantum operator, quantum sampling, Fourier sine-cosine series, signal processing, image processing

Details

Database :
arXiv
Publication Type :
Report
Accession number :
edsarx.2011.12738
Document Type :
Working Paper