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Entropic Characterization of Quantum States with Maximal Evolution under Given Energy Constraints

A measure [Formula: see text] for the amount of dynamical evolution exhibited by a quantum system during a time interval [Formula: see text] is defined in terms of how distinguishable from each other are, on average, the states of the system at different times. We investigate some properties of the...

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Autores principales: Majtey, Ana P., Valdés-Hernández, Andrea, Maglione, César G., Plastino, Angel R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7515300/
https://www.ncbi.nlm.nih.gov/pubmed/33267483
http://dx.doi.org/10.3390/e21080770
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author Majtey, Ana P.
Valdés-Hernández, Andrea
Maglione, César G.
Plastino, Angel R.
author_facet Majtey, Ana P.
Valdés-Hernández, Andrea
Maglione, César G.
Plastino, Angel R.
author_sort Majtey, Ana P.
collection PubMed
description A measure [Formula: see text] for the amount of dynamical evolution exhibited by a quantum system during a time interval [Formula: see text] is defined in terms of how distinguishable from each other are, on average, the states of the system at different times. We investigate some properties of the measure [Formula: see text] showing that, for increasing values of the interval’s duration, the measure quickly reaches an asymptotic value given by the linear entropy of the energy distribution associated with the system’s (pure) quantum state. This leads to the formulation of an entropic variational problem characterizing the quantum states that exhibit the largest amount of dynamical evolution under energy constraints given by the expectation value of the energy.
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spelling pubmed-75153002020-11-09 Entropic Characterization of Quantum States with Maximal Evolution under Given Energy Constraints Majtey, Ana P. Valdés-Hernández, Andrea Maglione, César G. Plastino, Angel R. Entropy (Basel) Article A measure [Formula: see text] for the amount of dynamical evolution exhibited by a quantum system during a time interval [Formula: see text] is defined in terms of how distinguishable from each other are, on average, the states of the system at different times. We investigate some properties of the measure [Formula: see text] showing that, for increasing values of the interval’s duration, the measure quickly reaches an asymptotic value given by the linear entropy of the energy distribution associated with the system’s (pure) quantum state. This leads to the formulation of an entropic variational problem characterizing the quantum states that exhibit the largest amount of dynamical evolution under energy constraints given by the expectation value of the energy. MDPI 2019-08-07 /pmc/articles/PMC7515300/ /pubmed/33267483 http://dx.doi.org/10.3390/e21080770 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Majtey, Ana P.
Valdés-Hernández, Andrea
Maglione, César G.
Plastino, Angel R.
Entropic Characterization of Quantum States with Maximal Evolution under Given Energy Constraints
title Entropic Characterization of Quantum States with Maximal Evolution under Given Energy Constraints
title_full Entropic Characterization of Quantum States with Maximal Evolution under Given Energy Constraints
title_fullStr Entropic Characterization of Quantum States with Maximal Evolution under Given Energy Constraints
title_full_unstemmed Entropic Characterization of Quantum States with Maximal Evolution under Given Energy Constraints
title_short Entropic Characterization of Quantum States with Maximal Evolution under Given Energy Constraints
title_sort entropic characterization of quantum states with maximal evolution under given energy constraints
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7515300/
https://www.ncbi.nlm.nih.gov/pubmed/33267483
http://dx.doi.org/10.3390/e21080770
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