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Comparisons of performance between quantum-enhanced and classical machine learning algorithms on the IBM Quantum Experience

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dc.contributor.author Zahorodko, P. V.
dc.contributor.author Семеріков, Сергій Олексійович
dc.contributor.author Соловйов, Володимир Миколайович
dc.contributor.author Striuk, A. M.
dc.contributor.author Striuk, M. I.
dc.contributor.author Shalatska, H. M.
dc.date.accessioned 2021-06-21T15:29:57Z
dc.date.available 2021-06-21T15:29:57Z
dc.date.issued 2021-03-19
dc.identifier.citation Zahorodko P. V. Comparisons of performance between quantum-enhanced and classical machine learning algorithms on the IBM Quantum Experience / P. V. Zahorodko, S. O. Semerikov, V. N. Soloviev, A. M. Striuk, M. I. Striuk, H. M. Shalatska // XII International Conference on Mathematics, Science and Technology Education (ICon-MaSTEd 2020) 15-17 October 2020, Kryvyi Rih, Ukraine / Eds. : A. E. Kiv, V. N. Soloviev, S. O. Semerikov // Journal of Physics: Conference Series. – 2021. – Vol. 1840. – Iss. 1. – Article 012021. – DOI : 10.1088/1742-6596/1840/1/012021 uk
dc.identifier.issn 1742-6596
dc.identifier.uri https://doi.org/10.1088/1742-6596/1840/1/012021
dc.identifier.uri http://elibrary.kdpu.edu.ua/xmlui/handle/123456789/4362
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dc.description.abstract Machine learning is now widely used almost everywhere, primarily for forecasting. In the broadest sense, the machine learning objective may be summarized as an approximation problem, and the issues solved by various training methods can be reduced to finding the optimal value of an unknown function or restoring a function. At the moment, we have only experimental samples of quantum computers based on classical-quantum logic, when quantum gates are used instead of ordinary logic gates, and probabilistic quantum bits are used instead of deterministic bits. Namely, the probabilistic nature problems that provide for the determination of a certain optimal state from a large set of possible ones on which quantum computers can achieve "quantum supremacy" – an extraordinary (by many orders of magnitude) reduction in the time required to solve the task. The main idea of the work is to identify the possibility of achieving, if not quantum supremacy, then at least a quantum advantage when solving machine learning problems on a quantum computer. uk
dc.language.iso en uk
dc.publisher IOP Publishing uk
dc.subject machine learning uk
dc.subject IBM Quantum Experience uk
dc.title Comparisons of performance between quantum-enhanced and classical machine learning algorithms on the IBM Quantum Experience uk
dc.type Article uk

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