Machine Learning in the Quantum Age: Quantum vs. Classical Support Vector Machines

Davut Emre Tasar (), Kutan Koruyan () and Ceren Ã-cal Cosar ()
Additional contact information
Davut Emre Tasar: Dokuz Eylul Universitesi
Kutan Koruyan: Dokuz Eylul Universitesi
Ceren Ã-cal Cosar: Bagimsiz

Journal of Quantum Technologies and Informatics Research, 2023, vol. 1, issue 1, 65-72

Abstract: This work endeavors to juxtapose the efficacy of machine learning algorithms within classical and quantum computational paradigms. Particularly, by emphasizing on Support Vector Machines (SVM), we scrutinize the classification prowess of classical SVM and Quantum Support Vector Machines (QSVM) operational on quantum hardware over the Iris dataset. The methodology embraced encapsulates an extensive array of experiments orchestrated through the Qiskit library, alongside hyperparameter optimization. The findings unveil that in particular scenarios, QSVMs extend a level of accuracy that can vie with classical SVMs, albeit the execution times are presently protracted. Moreover, we underscore that augmenting quantum computational capacity and the magnitude of parallelism can markedly ameliorate the performance of quantum machine learning algorithms. This inquiry furnishes invaluable insights regarding the extant scenario and future potentiality of machine learning applications in the quantum epoch. Colab: https://t.ly/QKuz0

Date: 2023
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:jle:joujqt:ktve2235

DOI: 10.70447/ktve.2235

Access Statistics for this article

Journal of Quantum Technologies and Informatics Research is currently edited by Cumali Yasar

More articles in Journal of Quantum Technologies and Informatics Research from Holistence Publications
Bibliographic data for series maintained by Cumali Yasar ().