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...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
IIUM Press
2016
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/53040/ http://irep.iium.edu.my/53040/ http://irep.iium.edu.my/53040/1/paper16.pdf |
| Summary: | 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. |
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