Quantum Measurement Classification with Qudits

• URL: http://arxiv.org/abs/2107.09781v1
• Date: Tue, 20 Jul 2021 21:54:14 GMT
• Title: Quantum Measurement Classification with Qudits
• Authors: Diego H. Useche, Andres Giraldo-Carvajal, Hernan M. Zuluaga-Bucheli, Jose A. Jaramillo-Villegas, Fabio A. Gonz\'alez
• Abstract summary: We show that the proposed quantum protocols allow to estimate probability density functions and to make predictions in a supervised learning manner. Results show that the proposed method is a viable strategy to implement supervised classification and density estimation in a high-dimensional quantum computer.
• Score: 0.0
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: This paper presents a hybrid classical-quantum program for density estimation and supervised classification. The program is implemented as a quantum circuit in a high-dimensional quantum computer simulator. We show that the proposed quantum protocols allow to estimate probability density functions and to make predictions in a supervised learning manner. This model can be generalized to find expected values of density matrices in high-dimensional quantum computers. Experiments on various data sets are presented. Results show that the proposed method is a viable strategy to implement supervised classification and density estimation in a high-dimensional quantum computer.

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