Simple quantum circuit for pattern recognition based on nearest mean classifier

Mahmoud Ahmed, Gharib Subhi and Messikh Azeddine, Azeddine (2016) Simple quantum circuit for pattern recognition based on nearest mean classifier. International Journal On Perceptive and Cognitive Computing, 2 (2). pp. 17-24. ISSN 2462 - 229X

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Abstract

Machine learning plays a key role in many applications such as data mining and image recognition. Classification is one subcategory under machine learning. In this paper we propose a simple quantum circuit based on the nearest mean classifier to classified handwriting characters. Our circuit is a simplified circuit from the quantum support vector machine [Phys. Rev. Lett. 114, 140504 (2015)] which uses quantum matrix inverse algorithm to find optimal hyperplane that separated two different classes. In our case the hyperplane is found using projections and rotations on the Bloch sphere.

Item Type:	Article (Journal)
Additional Information:	5541/53040
Uncontrolled Keywords:	Quantum circuit and Pattern recognition.
Subjects:	Q Science > Q Science (General) > Q300 Cybernetics > Q350 Information theory Q Science > QC Physics
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Engineering Kulliyyah of Information and Communication Technology Kulliyyah of Information and Communication Technology
Depositing User:	Dr Azeddine Messikh
Date Deposited:	21 Nov 2016 15:25
Last Modified:	05 May 2018 13:39
URI:	http://irep.iium.edu.my/id/eprint/53040

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