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IJSME - International Journal of Science and Mathematics Education - Vol. 1 Issue. 2 (2024)

A Comparative Analysis of Quantum Computing and Classical Computing in Solving Linear Algebra Problems

Andrea Montemurro, Marco F. Durante, Silvia Giordano,



Abstract

Quantum computing offers promising alternatives to classical approaches for solving complex linear algebra problems. This paper presents a comparative study of the performance of quantum algorithms versus classical algorithms in solving systems of linear equations and matrix operations. Through simulation and analysis, we demonstrate that while quantum computing holds advantages in specific problem sets, classical computing remains efficient for general applications. These findings highlight the current limitations and potential of quantum computing.







DOI :


Sitasi :

0

PISSN :

3062-7206

EISSN :

3062-7214

Date.Create Crossref:

22-Feb-2025

Date.Issue :

30-Jun-2024

Date.Publish :

30-Jun-2024

Date.PublishOnline :

30-Jun-2024



PDF File :

Resource :

Open

License :

https://creativecommons.org/licenses/by-sa/4.0