2022
DOI: 10.1007/s11128-022-03524-7
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Information diagrams in the study of entanglement in symmetric multi-quDit systems and applications to quantum phase transitions in Lipkin–Meshkov–Glick D-level atom models

Abstract: In this paper we pursue the use of information measures (in particular, information diagrams) for the study of entanglement in symmetric multi-quDit systems. We use generalizations to $${U}(D)$$ U ( D ) of spin $${U}(2)$$ U ( 2 ) coherent states… Show more

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Cited by 5 publications
(13 citation statements)
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“…First, we will review the concept of information diagrams and its main properties. We will limit our scope since most details have already been given in [1] (and references therein).…”
Section: Information Diagrams and Entropic Measuresmentioning
confidence: 99%
See 2 more Smart Citations
“…First, we will review the concept of information diagrams and its main properties. We will limit our scope since most details have already been given in [1] (and references therein).…”
Section: Information Diagrams and Entropic Measuresmentioning
confidence: 99%
“…This makes possible the classification of density matrices within each subregion by the minimum rank they have. Details about the explicit meaning of these curves and their parametrization can be found on [1].…”
Section: Information Diagrams and Entropic Measuresmentioning
confidence: 99%
See 1 more Smart Citation
“…The coefficients of this decomposition (Schmidt coefficients) and their squares (Schmidt eigenvalues) are determined for all N and M , and the main features of them and their behaviour under various limits are estudied. For a detailed account of these features, a variety of graphical tools are used, like contour plots, angular plots, etc., but, in the case of a large D, information diagrams (see [10] and references therein) prove to be a valuable tool when appropriate colormaps are used (see the Supplementary Material).…”
Section: Introductionmentioning
confidence: 99%
“…The coefficients of this decomposition (Schmidt coefficients) and their squares (Schmidt eigenvalues) are determined for all N and M, and the main features of them and their behaviour under various limits are studied. For a detailed account of these features, a variety of graphical tools are used, like contour plots, angular plots, etc but, in the case of a large D, information diagrams (see [16] and references therein) prove to be a valuable tool when appropriate colormaps are used (see the supplementary material).…”
Section: Introductionmentioning
confidence: 99%