What Fuzzy and Quantum Computing Can Learn from the Success of Deep Learning

Authors

Shahnaz Shahbazova, Azerbaijan Technical UniversityFollow
Vladik Kreinovich, The University of Texas at El PasoFollow

Publication Date

7-1-2021

Comments

Technical Report: UTEP-CS-21-66

Abstract

How can we apply the ideas that made deep neural networks successful to other aspects of computing? For this purpose, we reformulate these ideas in a more general form -- and we show that this generalization also covers fuzzy and quantum computing. This enables us to suggest that similar ideas can be helpful for fuzzy and quantum computing as well. In this suggestion, we are encouraged by the fact that as we show, to some extent, these ideas are already helpful.