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Simple quantum circuit for pattern recognition based on nearest mean classifier

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...

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Main Authors: Mahmoud Ahmed, Gharib Subhi, Messikh Azeddine, Azeddine
Format: Article
Language:English
Published: IIUM Press 2016
Subjects:
Q350 Information theory
QC Physics
Online Access:http://irep.iium.edu.my/53040/1/paper16.pdf
http://irep.iium.edu.my/53040/
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spelling my.iium.irep.530402018-05-05T05:39:46Z http://irep.iium.edu.my/53040/ Simple quantum circuit for pattern recognition based on nearest mean classifier Mahmoud Ahmed, Gharib Subhi Messikh Azeddine, Azeddine Q350 Information theory QC Physics 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. IIUM Press 2016-12 Article REM application/pdf en http://irep.iium.edu.my/53040/1/paper16.pdf 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 file:///C:/Users/user/Downloads/38-113-1-PB%20(1).pdf
institution Universiti Islam Antarabangsa Malaysia
building IIUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider International Islamic University Malaysia
content_source IIUM Repository (IREP)
url_provider http://irep.iium.edu.my/
language English
topic Q350 Information theory
QC Physics
spellingShingle Q350 Information theory
QC Physics
Mahmoud Ahmed, Gharib Subhi
Messikh Azeddine, Azeddine
Simple quantum circuit for pattern recognition based on nearest mean classifier
description 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.
format Article
author Mahmoud Ahmed, Gharib Subhi
Messikh Azeddine, Azeddine
author_facet Mahmoud Ahmed, Gharib Subhi
Messikh Azeddine, Azeddine
author_sort Mahmoud Ahmed, Gharib Subhi
title Simple quantum circuit for pattern recognition based on nearest mean classifier
title_short Simple quantum circuit for pattern recognition based on nearest mean classifier
title_full Simple quantum circuit for pattern recognition based on nearest mean classifier
title_fullStr Simple quantum circuit for pattern recognition based on nearest mean classifier
title_full_unstemmed Simple quantum circuit for pattern recognition based on nearest mean classifier
title_sort simple quantum circuit for pattern recognition based on nearest mean classifier
publisher IIUM Press
publishDate 2016
url http://irep.iium.edu.my/53040/1/paper16.pdf
http://irep.iium.edu.my/53040/
_version_ 1643614279758249984
score 13.211869

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