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Functional Matrices on Quantum Computing Simulation.

Authors :
de la Cruz Calvo, Hernán Indíbil
Cuartero Gómez, Fernando
Paulet González, José Javier
Mezzini, Mauro
Pelayo, Fernando López
Source :
Mathematics (2227-7390). Sep2023, Vol. 11 Issue 17, p3742. 20p.
Publication Year :
2023

Abstract

In simulating Quantum Computing by using the circuit model the size of the matrices to deal with, together with the number of products and additions required to apply every quantum gate becomes a really hard computational restriction. This paper presents a data structure, called Functional Matrices, which is the most representative feature of QSimov quantum computing simulator which is also provided and tested. A comparative study of the performance of Functional Matrices with respect to the other two most commonly used matrix data structures, dense and sparse ones, is also performed and summarized within this work. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
22277390
Volume :
11
Issue :
17
Database :
Academic Search Index
Journal :
Mathematics (2227-7390)
Publication Type :
Academic Journal
Accession number :
171857931
Full Text :
https://doi.org/10.3390/math11173742