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Quantum networks: topology and spectral characterization
dc.creator | Berec, Vesna I. | |
dc.date.accessioned | 2018-10-22T10:06:42Z | |
dc.date.available | 2018-10-22T10:06:42Z | |
dc.date.issued | 2018 | |
dc.identifier.issn | 2101-6275 | |
dc.identifier.uri | https://www.epj-conferences.org/10.1051/epjconf/201818202014 | |
dc.identifier.uri | https://vinar.vin.bg.ac.rs/handle/123456789/7873 | |
dc.description.abstract | To utilize a scalable quantum network and perform a quantum state transfer within distant arbitrary nodes, coherence and control of the dynamics of couplings between the information units must be achieved as a prerequisite ingredient for quantum information processing within a hierarchical structure. Graph theoretic approach provides a powerful tool for the characterization of quantum networks with non-trivial clustering properties. By encoding the topological features of the underlying quantum graphs, relations between the quantum complexity measures are presented revealing the intricate links between a quantum and a classical networks dynamics. © The Authors, published by EDP Sciences. This is an open access article distributed under the terms of the Creative Commons Attribution License 4.0. | en |
dc.publisher | EPJ Web of Conferences | |
dc.rights | openAccess | |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | |
dc.source | 6th International Conference on New Frontiers in Physics - ICNFP 2017; OACCrete, Greece, August 17th-29th 2017 | |
dc.title | Quantum networks: topology and spectral characterization | en |
dc.type | conferenceObject | en |
dc.rights.license | BY | |
dcterms.abstract | Aхаронов, Y.; Берец, Весна; Кабана, С.; Бравина, Л.; | |
dc.rights.holder | © The Authors, published by EDP Sciences | |
dc.citation.volume | 182 | |
dc.citation.spage | 02014 | |
dc.identifier.wos | 000567649800016 | |
dc.identifier.doi | 10.1051/epjconf/201818202014 | |
dc.type.version | publishedVersion | |
dc.identifier.scopus | 2-s2.0-85053183048 | |
dc.identifier.fulltext | https://vinar.vin.bg.ac.rs//bitstream/id/10577/epjconf_icnfp2018_02014.pdf |
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