IMPLEMENTATION OF THE QUANTUM GENETIC ALGORITHM IN THE ENVIRONMENT PYTHON

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DOI:

https://doi.org/10.30888/2663-5712.2022-11-01-072

Keywords:

quantum programming, genetic algorithms, qubit, simulator, Hamadard operator

Abstract

. In modern conditions of total digitalization of the entire world economy, the development of quantum algorithms is one of the topical areas of research. The advantage of quantum algorithms is to reduce the problem solving time by parallelizing operatio

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References

IBM and Ponemon Institute research [Electronic resource] // IBM - Resource access mode: https://www-03.ibm.com/press/ru/ru/pressrelease/50084.wss.

P. W. Shor, ”Quantum Computing,” Documenta Mathematica, vol. Extra Volume ICM, pp. 467- 1486, 1998, http://east.camel.math.ca/ EMIS/ journals/ DMJDMV/ xvol-icm/ 001 Shor.MAN.htm1.

P. W. Shor, ”Algorithms for Quanhim Computation: Discrete Logarithms and Factoring,” in Proceedings of the 35th Annual Syrnposiunz on Foundations of Computer Science, pp. 124- 134, 1994.

Li J.-P., Balazs M.E., Parks G.T., Clarkson P. J., A Species Conserving Genetic Algorithm for Multimodal Function Optimization, Evolutionary Computation, V. 10, N. 3, pp.207-234, 2002.

Li J.-P., Balazs M.E., Parks G.T., Clarkson P. J., A Species Conserving Genetic Algorithm for Multimodal Function Optimization, Evolutionary Computation, V. 10, N. 3, pp.207-234, 2002.

R. Nowotniak and J. Kucharski, “Higher-order quantuminspired genetic algorithms,” in Proceedings of the 2014 Federated Conference on Computer Science and Information Systems, FedCSIS 2014, pp. 465–470, Poland, September 2014.

Published

2022-01-30

How to Cite

Скакаліна, О. (2022). IMPLEMENTATION OF THE QUANTUM GENETIC ALGORITHM IN THE ENVIRONMENT PYTHON. SWorldJournal, 1(11-01), 85–93. https://doi.org/10.30888/2663-5712.2022-11-01-072

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Articles