International Electrical Engineering Congress (iEECON)

A Classifiers Experimentation with Quantum Machine Learning

Chaiyaporn Khemapatapan, Thammanoon Thepsena, Aomduan Jeamaon

Published Mar 8, 2023• 2 citations

Abstract

Quantum Computing is a new way to create a different type of computer system from Quantum Mechanics. Quantum machine learning is one of the applications took the benefit from qauntum computers. In this experiment, we use the IBM Qiskit library to study how well a quantum machine learning classifier works. We made two different colored dots to represent the two-class dataset. The quantum circuit can be collected from the Qiskit library. The 1stand 2ndorder feature map schemes operated by oracle quantum oracle functions are applied before making a classification. Finally, we can call the quantum support vector machine or QSVM function to classify data. Kernel matrix from the studied qauntum model shows that quantum computing can be used to clearly classify classes of the dataset with 100 percent accuracy.

DOI: 10.1109/ieecon56657.2023.10126672

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