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Optimal Universal Uncertainty Relations

We study universal uncertainty relations and present a method called joint probability distribution diagram to improve the majorization bounds constructed independently in [Phys. Rev. Lett. 111, 230401 (2013)] and [J. Phys. A. 46, 272002 (2013)]. The results give rise to state independent uncertaint...

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Detalles Bibliográficos
Autores principales: Li, Tao, Xiao, Yunlong, Ma, Teng, Fei, Shao-Ming, Jing, Naihuan, Li-Jost, Xianqing, Wang, Zhi-Xi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5075915/
https://www.ncbi.nlm.nih.gov/pubmed/27775010
http://dx.doi.org/10.1038/srep35735
Descripción
Sumario:We study universal uncertainty relations and present a method called joint probability distribution diagram to improve the majorization bounds constructed independently in [Phys. Rev. Lett. 111, 230401 (2013)] and [J. Phys. A. 46, 272002 (2013)]. The results give rise to state independent uncertainty relations satisfied by any nonnegative Schur-concave functions. On the other hand, a remarkable recent result of entropic uncertainty relation is the direct-sum majorization relation. In this paper, we illustrate our bounds by showing how they provide a complement to that in [Phys. Rev. A. 89, 052115 (2014)].