QUANTUM MACHINE LEARNING BASED ON PENNYLANE LIBRARIES ON THE EXAMPLE OF ECONOMETRIC MODELING OF QUOTATIONS OF THE USD/RUB CURRENCY PAIR

UDC 532.5.032
DOI: 10.36871/2618-9976.2023.01.004

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 econometric calculations using quantum machine learning technologies and PennyLane libraries. The features of Penny Lane integration into the Google Colab development environment are considered. An econometric model has been created to predict the behavior of the USD/RUB currency pair in order to determine its satisfaction with the values laid down in the framework of the execution of the government budget.

Keywords

Quantum machine learning, Econometric calculations, Quotes, USD/RUB exchange rate