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Frequentist and Bayesian Quantum Phase Estimation
Frequentist and Bayesian phase estimation strategies lead to conceptually different results on the state of knowledge about the true value of an unknown parameter. We compare the two frameworks and their sensitivity bounds to the estimation of an interferometric phase shift limited by quantum noise,...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7513152/ https://www.ncbi.nlm.nih.gov/pubmed/33265717 http://dx.doi.org/10.3390/e20090628 |
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author | Li, Yan Pezzè, Luca Gessner, Manuel Ren, Zhihong Li, Weidong Smerzi, Augusto |
author_facet | Li, Yan Pezzè, Luca Gessner, Manuel Ren, Zhihong Li, Weidong Smerzi, Augusto |
author_sort | Li, Yan |
collection | PubMed |
description | Frequentist and Bayesian phase estimation strategies lead to conceptually different results on the state of knowledge about the true value of an unknown parameter. We compare the two frameworks and their sensitivity bounds to the estimation of an interferometric phase shift limited by quantum noise, considering both the cases of a fixed and a fluctuating parameter. We point out that frequentist precision bounds, such as the Cramér–Rao bound, for instance, do not apply to Bayesian strategies and vice versa. In particular, we show that the Bayesian variance can overcome the frequentist Cramér–Rao bound, which appears to be a paradoxical result if the conceptual difference between the two approaches are overlooked. Similarly, bounds for fluctuating parameters make no statement about the estimation of a fixed parameter. |
format | Online Article Text |
id | pubmed-7513152 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-75131522020-11-09 Frequentist and Bayesian Quantum Phase Estimation Li, Yan Pezzè, Luca Gessner, Manuel Ren, Zhihong Li, Weidong Smerzi, Augusto Entropy (Basel) Article Frequentist and Bayesian phase estimation strategies lead to conceptually different results on the state of knowledge about the true value of an unknown parameter. We compare the two frameworks and their sensitivity bounds to the estimation of an interferometric phase shift limited by quantum noise, considering both the cases of a fixed and a fluctuating parameter. We point out that frequentist precision bounds, such as the Cramér–Rao bound, for instance, do not apply to Bayesian strategies and vice versa. In particular, we show that the Bayesian variance can overcome the frequentist Cramér–Rao bound, which appears to be a paradoxical result if the conceptual difference between the two approaches are overlooked. Similarly, bounds for fluctuating parameters make no statement about the estimation of a fixed parameter. MDPI 2018-08-23 /pmc/articles/PMC7513152/ /pubmed/33265717 http://dx.doi.org/10.3390/e20090628 Text en © 2018 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 Li, Yan Pezzè, Luca Gessner, Manuel Ren, Zhihong Li, Weidong Smerzi, Augusto Frequentist and Bayesian Quantum Phase Estimation |
title | Frequentist and Bayesian Quantum Phase Estimation |
title_full | Frequentist and Bayesian Quantum Phase Estimation |
title_fullStr | Frequentist and Bayesian Quantum Phase Estimation |
title_full_unstemmed | Frequentist and Bayesian Quantum Phase Estimation |
title_short | Frequentist and Bayesian Quantum Phase Estimation |
title_sort | frequentist and bayesian quantum phase estimation |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7513152/ https://www.ncbi.nlm.nih.gov/pubmed/33265717 http://dx.doi.org/10.3390/e20090628 |
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