Quantum enhanced machine learning: an overview

- Zahorodko, Pavlo V., Modlo, Ye.O. (orcid.org/0000-0003-2037-1557), Kalinichenko, Olga O. (orcid.org/0000-0002-7057-2675), Selivanova, T.V. (orcid.org/0000-0003-2635-1055) and Semerikov, Serhiy O. (orcid.org/0000-0003-0789-0272) (2021) Quantum enhanced machine learning: an overview Proceedings of the 3rd Workshop for Young Scientists in Computer Science & Software Engineering (CS&SE@SW 2020) Kryvyi Rih, Ukraine, November 27, 2020 (2832). pp. 94-103. ISSN 1613-0073

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Abstract

Machine learning is now widely used almost everywhere, primarily for forecasting. The main idea of the work is to identify the possibility of achieving a quantum advantage when solving machine learning problems on a quantum computer.

Item Type:	Article
Keywords:	machine learning, quantum computing, quantum software engineering
Subjects:	Science and knowledge. Organization. Computer science. Information. Documentation. Librarianship. Institutions. Publications > 00 Prolegomena. Fundamentals of knowledge and culture. Propaedeutics > 004 Computer science and technology. Computing. Data processing > 004.4 Software Science and knowledge. Organization. Computer science. Information. Documentation. Librarianship. Institutions. Publications > 00 Prolegomena. Fundamentals of knowledge and culture. Propaedeutics > 004 Computer science and technology. Computing. Data processing > 004.9 ІКТ ( Application-oriented computer-based techniques )
Divisions:	Institute for Digitalisation of Education > Department of Cloud-Oriented Systems and Artificial Intelligence in Education
Depositing User:	Сергій Олексійович Семеріков
Date Deposited:	01 Oct 2021 19:04
Last Modified:	01 Oct 2021 19:04
URI:	https://lib.iitta.gov.ua/id/eprint/726895

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