📅 30 June 2024
DOI: 10.62951/ijsme.v1i2.56
A Comparative Analysis of Quantum Computing and Classical Computing in Solving Linear Algebra Problems
International Journal of Science and Mathematics Education
Asosiasi Riset Ilmu Matematika dan Sains Indonesia (ARIMSI)
📄 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.
🔖 Keywords
#Quantum computing; classical computing; linear algebra; computational efficiency; quantum algorithms
ℹ️ Informasi Publikasi
Tanggal Publikasi
30 June 2024
Volume / Nomor / Tahun
Volume 1, Nomor 2, Tahun 2024
📝 HOW TO CITE
Andrea Montemurro; Marco F. Durante; Silvia Giordano, "A Comparative Analysis of Quantum Computing and Classical Computing in Solving Linear Algebra Problems," International Journal of Science and Mathematics Education, vol. 1, no. 2, Jun. 2024.
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