QUANTUM MACHINE LEARNING

UDC 519.688
DOI: 10.36871/2618-9976.2022.11.008

Authors

Vitaly A. Peleshenko
Candidate of Technical Sciences, mRINA, mGlobalCIO, Associate Professor, Department of data analysis and machine learning, Financial University under the Government of the Russian Federation, Moscow, Russia

Abstract

The article is devoted to the issues of quantum computing and algorithms aimed at implementing quantum machine learning both on separate quantum processors and in hybrid circuits using TPU and CPU.

Keywords

Machine learning, Quantum computing, Quantum processors