Clarke, R. (2002, November 30). Qubit turn up trumps. New Scientist, 176(2371), 21.

El-Madany, H. T., Fahmy, F. H., El-Rahman, N. M. A., & Dorrah, H. T. (2011). Artificial intelligence techniques for controlling spacecraft power system. Renewable Energy and Power Quality Journal, 9(1), 163–172. https://doi.org/10.24084/repqj09.534

Klimov, A. T., Neizvestny, I. G., Suprun, S. P., & Shumsky, V. N. (2001). Medium for interaction between two qubits in quantum computations. Quantum Computer and Quantum Computing, 2(2), 79– 84.

Lee, J., Chung, W., Kim, E., & Kim, S. (2010). A new genetic approach for structure learning of Bayesian networks: Matrix genetic algorithm. International Journal of Control, Automation and Systems, 8, 398–407. https://doi.org/10.1007/s12555-010-0227-3

. Li, Z.-B., Wang, Z.-L., & Li, J.-F. (2004). A hybrid control scheme of adaptive and variable structure for flexible spacecraft. Aerospace Science and Technology, 8(5), 423–430. https://doi.org/10.1016/j. ast.2004.02.002

Nielsen, M., & Chuang, I. (2006). Kvantovyye vychisleniya i kvantovaya informatsiya [Quantum computation and quantum information]. Moscow: Mir.

Popov, I. Yu. (2007). Kvantovyy kompyuter i kvantovye algoritmy [Quantum computer and quantum algorithms]. Saint Petersburg: SPbGU ITMO

Shill, P. C., Amin, F., & Murase, K. (2011). Parameter optimization based on quantum genetic algorithms for fuzzy logic controller. In Proceedings of the 27th Fuzzy System Symposium (pp. 1065– 1068). Japan.

Shill, P. C., Sarker, B., Urmi, M. C., & Murase, K. (2012). Quantum fuzzy controller for inverted pendulum system based on quantum genetic optimization. International Journal of Advanced Research in Computer Science, 3(7), 1–8.

Stieb, W. H., & Hardy, J. (2007). Zadachi i ikh resheniya v kvantovykh vychisleniyakh i kvantovoy teorii informatsii [Problems and their solutions in quantum computing and quantum information theory]. Izhevsk: Institute of Computer Research.

Ulyanov, S. V. (2014a). Intelligent Control Systems. Vol. 4. Knowledge Optimizer on Quantum Computing. Part 2. Self-Organizing Intelligent Control Systems. Dubna: Dubna State University.

Ulyanov, S. V. (2014b). Self-organizing quantum robust control methods and systems for situations with uncertainty and risk. U.S. Patent No. 8,788,450 B2.

Ulyanov, S. V., Mishin, A. A., & Minogin, A. A. (2010). Informatsionnaya tekhnologiya proektirovaniya robustnykh baz znaniy nechetkikh regulyatorov. Chastʹ III: Kvantovyy nechetkij vyvod i kvantovaya informatsiya [Information technology for robust fuzzy knowledge base design. Part III: Quantum fuzzy inference and quantum information]. Sistemnyy analiz v nauke i obrazovanii – Systems Analysis in Science and Education, (3).

Usmanov, K. I., Yakubova, N. S., Urmanova, V. T., & Abdurasulova, G. E. (2023a). Synthesis of a control system for the process of diesel fuel hydropuri�ication with the Adar method. E3S Web of Conferences, 458, 01025. https://doi.org/10.1051/e3sconf/202345801025

Usmanov, K., Yakubova, N. S., & Eshbobaev, J. (2023b). Modeling and optimization of the ammonium solution extraction process. Engineering Proceedings, 56, 198. https://doi.org/10.3390/ ASEC2023-16274