Quantum Entropy in Machine Learning Tasks WS

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.