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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iium-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 PeerReviewed 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 |
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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/ http://irep.iium.edu.my/53040/ http://irep.iium.edu.my/53040/1/paper16.pdf |
first_indexed |
2023-09-18T21:15:06Z |
last_indexed |
2023-09-18T21:15:06Z |
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1777411509662515200 |