Quantum Entropy in Machine Learning Tasks WS

Authors

V. Syneglazov
National Aviation University
https://orcid.org/0000-0002-3297-9060
P. Chynnyk
NTUU "Igor Sikorsky Kyiv Polytechnic Institute"
https://orcid.org/0009-0002-6787-5429

Abstract

This paper investigates quantum entropy as a function of error for model training. A comparative analysis of the quality of models trained using quantum entropy with models trained based on standard error functions: cross-entropy and MSE was performed. The results demonstrate an advantage in the quality and training time of the models that used quantum entropy for training, compared to those models that used classical functions.


Інформаційні системи та технології ІСТ-2024

Pages

158-160

Published

July 17, 2025

Details about this monograph

ISBN-13 (15)

978-966-659-354-5