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Computer science in a multidisciplinary environment : quantum cryptography and econophysics

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Computer science in a multidisciplinary environment : quantum cryptography and econophysics

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dc.contributor.advisor García Gómez, Juan Miguel es_ES
dc.contributor.author Garcés Díaz-Munío, Gonzalo Vicente es_ES
dc.date.accessioned 2012-02-23T11:16:58Z
dc.date.available 2012-02-23T11:16:58Z
dc.date.created 2009-12-30
dc.date.issued 2012-02-23
dc.identifier.uri http://hdl.handle.net/10251/14792
dc.description.abstract Students of computer science are becoming increasingly specialized, but to work in multidisciplinary teams they need to appreciate different perspectives and methods. This Final Year Project was carried out in the Physics department at Kochi University of Technology (Japan), and it concerns two interdisciplinary fields: quantum cryptography and econophysics. In the field of quantum cryptography, two of the most representative protocols for quantum key distribution, BB84 and B92, were analyzed and compared; their practical implementation was also described. In the field of econophysics, we explored the properties of the statistical family of Lévy distributions, which are applied in financial computing to model the evolution of prices. es_ES
dc.format.extent 45 es_ES
dc.language Inglés es_ES
dc.publisher Universitat Politècnica de València es_ES
dc.rights Reconocimiento - No comercial - Compartir igual (by-nc-sa) es_ES
dc.subject.other Ingeniería Informática-Enginyeria Informàtica es_ES
dc.title Computer science in a multidisciplinary environment : quantum cryptography and econophysics es_ES
dc.type Proyecto/Trabajo fin de carrera/grado es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Escola Tècnica Superior d'Enginyeria Informàtica es_ES
dc.description.bibliographicCitation Garcés Díaz-Munío, GV. (2009). Computer science in a multidisciplinary environment : quantum cryptography and econophysics. http://hdl.handle.net/10251/14792. es_ES
dc.description.accrualMethod Archivo delegado es_ES


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