Quantum-like Data Modeling in Applied Sciences: Review

This work presents a brief review on the modern approaches to data modeling by methods developed in quantum physics during last one hundred years. Quantum computers and computations have already been widely investigated theoretically attempted some practical implementations, but of are not yet sufficiently established. A vast range concepts mechanics tried many fields information behavior sciences, including communications artificial intelligence, cognition decision making, sociology psychology, biology economics, financial political studies. The application areas other than is called quantum-like paradigm, meaning that such may be related physical processes rather correspond designed for operating conditions uncertainty. aims attract attention possibilities these can enrich theoretical consideration useful purposes various sciences applications.