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Application of the Josephson Junction for the ANNs Energy Efficient Memory

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dc.contributor.author LUPU, Maria
dc.contributor.author SIDORENKO, Anatolie
dc.date.accessioned 2023-11-22T06:52:31Z
dc.date.available 2023-11-22T06:52:31Z
dc.date.issued 2023
dc.identifier.citation LUPU, Maria, SIDORENKO, Anatolie. Application of the Josephson Junction for the ANNs Energy Efficient Memory. In: 6th International Conference on Nanotechnologies and Biomedical Engineering, ICNBME, September 20-23, 2023, Chisinau: Abstract Book, p. 114. ISBN 978-9975-72-773-0. en_US
dc.identifier.isbn 978-9975-72-773-0
dc.identifier.uri http://repository.utm.md/handle/5014/24964
dc.description Only Abstract en_US
dc.description.abstract The proposed study is relevant due to the possibility of developing new energy-efficient computers with non-von Neumann architecture based on elements of superconducting spintronics. For this reason, the use of superconducting materials seems to be the most promising direction that meets these tasks. Traditionally, in superconducting logic and memory, information is associated with a quantum of magnetic flux, which, firstly, limits the degree of integration (a cell must contain one quantum of flux), and secondly, determines the localization of information, which complicates the physical implementation of information processing algorithms. These limitations lead to a low functional density of existing superconducting circuits and make it difficult to develop circuits based on nonclassical principles of information processing, such as deep neural networks, which are key components in the creation of artificial intelligence. Recently, fundamental physics research in superconductor-ferromagnet thin-film tunnel structures based on magnetic Josephson Junctions created a new opportunity to solve this long-standing problem. en_US
dc.language.iso en en_US
dc.publisher Universitatea Tehnică a Moldovei en_US
dc.rights Attribution-NonCommercial-NoDerivs 3.0 United States *
dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/3.0/us/ *
dc.subject energy-efficient computers en_US
dc.subject artificial intelligence en_US
dc.subject Neumann architecture en_US
dc.subject superconducting spintronics en_US
dc.title Application of the Josephson Junction for the ANNs Energy Efficient Memory en_US
dc.type Article en_US


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  • 2023
    6th International Conference on Nanotechnologies and Biomedical Engineering, September 20–23, 2023, Chisinau, Moldova

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Attribution-NonCommercial-NoDerivs 3.0 United States Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivs 3.0 United States

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