Simple quantum circuit for pattern recognition based on nearest mean classifier

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.