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Fully Quantum Classifier

Quantum Physics 2023-07-10 v1

Abstract

In this paper we present a supervised machine learning quantum classifier. It consists of a quantum data re-uploading classifier with binary trainable parameters, the optimal values of which are found by a quantum search algorithm. We show that we can reach the quadratic speed-up in optimization trainable parameters compared to classical brute force search.

Keywords

Cite

@article{arxiv.2307.03396,
  title  = {Fully Quantum Classifier},
  author = {Wojciech Roga and Baptiste Chevalier and Masahiro Takeoka},
  journal= {arXiv preprint arXiv:2307.03396},
  year   = {2023}
}

Comments

5 pages, 2 figures