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

Davut Emre Tasar (), Kutan Koruyan and Ceren Öcal Coşar
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Davut Emre Tasar: Dokuz Eylül Üniversitesi/TÜRKİYE
Kutan Koruyan: Dokuz Eylül Üniversitesi/TÜRKİYE
Ceren Öcal Coşar: Bağımsız/TÜRKİYE

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.

Keywords: Quantum Algorithms and Quantum Circuits; Gaussian Integral; Derivative (search for similar items in EconPapers)
JEL-codes: C02 C30 C45 C61 C63 C65 C68 C88 (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:jle:joujqt:v:1:y:2023:i:1:p:65-72

DOI: 10.5281/zenodo.10102956

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