Hyper-parameter Tuning for Quantum Support Vector Machine

Hyper-parameter Tuning for Quantum Support Vector Machine

In recent years, the positive effect of quantum techniques on machine learning methods have been studied. Especially in training big data, quantum computing is beneficial in terms of speed. This study examined and applied the Quantum Support Vector Machine steps to the breast cancer dataset. Diffe...

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Bibliographic Details
Main Authors: DEMIRTAS, F., TANYILDIZI, E.
Format: Article
Language:English
Published: Stefan cel Mare University of Suceava 2022-11-01
Series:Advances in Electrical and Computer Engineering
Subjects:
grid computing
optimization
parameter estimation
quantum computing
support vector machines
Online Access:http://dx.doi.org/10.4316/AECE.2022.04006

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