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Quantum correlations and artificial intelligence

https://doi.org/10.26425/2309-3633-2020-2-74-80

Abstract

The possibility of using quantum correlations in the process of exchanging information between artificial intelligence systems has been considered. The benefits of using quantum correlations in such process include: high degree of information protection both on the physical level (electric and magnetic noise does not affect quantum correlations) and on the level of confidentiality preservation of information transmitted (any external interference results in data corruption without information disclosure); the possibility of full automation of information transmission process; the process is dissipation free (which follows from that the quantum correlations are performed between the quantum obj ects described by the same wave function); high speed of information transmission (higher than the speed of light). In this case the special relativity postulate concerning the speed of light is not violated, because it relates to inertial systems only; however, quantum correlation due to being dissipation free is an inertialess process (which follows from the well-known, experimentally-verified relationship between mass m and energy E: E = mc2, where с is the speed of light). Feasible approaches to using quantum correlations for information exchange between artificial intelligence systems have been reviewed in the paper, in particular two versions of information transmission between artificial intelligence systems have been considered: with external synchronization of information transmission time and autonomous synchronization performed by interacting artificial intelligence systems. The main difficulty in implementing information transmission by means of quantum correlations is the necessity of using the so-called entangled quantum objects, that is the quantum objects having some mutually-dependent characteristics of their wave functions.

About the Authors

L. B. Boldyreva
State University of Management
Russian Federation

Boldyreva Liudmila - Candidate of Technical Sciences, Associate Professor.

Moscow



E. Yu. Belova
State University of Management
Russian Federation

Belova Elena - Senior Teacher.

Moscow



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Review

For citations:


Boldyreva L.B., Belova E.Yu. Quantum correlations and artificial intelligence. UPRAVLENIE / MANAGEMENT (Russia). 2020;8(2):74-80. (In Russ.) https://doi.org/10.26425/2309-3633-2020-2-74-80

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ISSN 2309-3633 (Print)
ISSN 2713-1645 (Online)