THE ROLE OF QUANTUM ALGORITHMS IN DOCUMENT CLASSIFICATION IN ELECTRONIC DOCUMENT EXCHANGE SYSTEMS
Abstract
Electronic Document Exchange Systems (EDES) are integral to modern digital communication, enabling secure, efficient, and organized exchange of information. Traditional algorithms for document classification have limitations in speed and accuracy, especially as the volume of data increases. Quantum algorithms offer potential improvements in these areas due to their inherent parallelism and computational efficiency. This paper explores the role of quantum algorithms in enhancing document classification within EDES, presenting mathematical models, relevant formulas, and simulation results to demonstrate their effectiveness.
Key words: EDES, QSVM, QNN, kernel
References
Raximov R., Primova H., Ruziyeva Z. Methods of recognizing texts in different images //2021 International Conference on Information Science and Communications Technologies (ICISCT). – IEEE, 2021. – С. 1-4. EE.
Holida Primova, Qodir Gaybulov, Ismoil Isroilov Selection of building material using the decision-making system //International conference on information science and communications technologies: applications, trends and opportunities November 3-5, 2021 http://www.icisct2021.org/, 10.1109/ICISCT52966.2021.9670051
Primova, H. A., D. M. Sotvoldiyev, R. T. Raximov, and X. Bobabekova. "Computing fuzzy integral of the basis of fuzzy mesure." In Journal of Physics: Conference Series, vol. 1441, no. 1, p. 012161. IOP Publishing, 2020.
