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Optimal Information Transfer and the Uniform Measure over Probability Space

For a quantum system with a d-dimensional Hilbert space, suppose a pure state [Formula: see text] is subjected to a complete orthogonal measurement. The measurement effectively maps [Formula: see text] to a point [Formula: see text] in the appropriate probability simplex. It is a known fact—which de...

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Autor principal: Wootters, William K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10296944/
https://www.ncbi.nlm.nih.gov/pubmed/37372219
http://dx.doi.org/10.3390/e25060875
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author Wootters, William K.
author_facet Wootters, William K.
author_sort Wootters, William K.
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description For a quantum system with a d-dimensional Hilbert space, suppose a pure state [Formula: see text] is subjected to a complete orthogonal measurement. The measurement effectively maps [Formula: see text] to a point [Formula: see text] in the appropriate probability simplex. It is a known fact—which depends crucially on the complex nature of the system’s Hilbert space—that if [Formula: see text] is distributed uniformly over the unit sphere, then the resulting ordered set [Formula: see text] is distributed uniformly over the probability simplex; that is, the resulting measure on the simplex is proportional to [Formula: see text]. In this paper we ask whether there is some foundational significance to this uniform measure. In particular, we ask whether it is the optimal measure for the transmission of information from a preparation to a measurement in some suitably defined scenario. We identify a scenario in which this is indeed the case, but our results suggest that an underlying real-Hilbert-space structure would be needed to realize the optimization in a natural way.
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spelling pubmed-102969442023-06-28 Optimal Information Transfer and the Uniform Measure over Probability Space Wootters, William K. Entropy (Basel) Article For a quantum system with a d-dimensional Hilbert space, suppose a pure state [Formula: see text] is subjected to a complete orthogonal measurement. The measurement effectively maps [Formula: see text] to a point [Formula: see text] in the appropriate probability simplex. It is a known fact—which depends crucially on the complex nature of the system’s Hilbert space—that if [Formula: see text] is distributed uniformly over the unit sphere, then the resulting ordered set [Formula: see text] is distributed uniformly over the probability simplex; that is, the resulting measure on the simplex is proportional to [Formula: see text]. In this paper we ask whether there is some foundational significance to this uniform measure. In particular, we ask whether it is the optimal measure for the transmission of information from a preparation to a measurement in some suitably defined scenario. We identify a scenario in which this is indeed the case, but our results suggest that an underlying real-Hilbert-space structure would be needed to realize the optimization in a natural way. MDPI 2023-05-30 /pmc/articles/PMC10296944/ /pubmed/37372219 http://dx.doi.org/10.3390/e25060875 Text en © 2023 by the author. https://creativecommons.org/licenses/by/4.0/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 (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Wootters, William K.
Optimal Information Transfer and the Uniform Measure over Probability Space
title Optimal Information Transfer and the Uniform Measure over Probability Space
title_full Optimal Information Transfer and the Uniform Measure over Probability Space
title_fullStr Optimal Information Transfer and the Uniform Measure over Probability Space
title_full_unstemmed Optimal Information Transfer and the Uniform Measure over Probability Space
title_short Optimal Information Transfer and the Uniform Measure over Probability Space
title_sort optimal information transfer and the uniform measure over probability space
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10296944/
https://www.ncbi.nlm.nih.gov/pubmed/37372219
http://dx.doi.org/10.3390/e25060875
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