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Environment-Assisted Invariance Does Not Necessitate Born’s Rule for Quantum Measurement

The argument of environment-assisted invariance (known as envariance) implying Born’s rule is widely used in models for quantum measurement to reason that they must yield the correct statistics, specifically for linear models. However, it has recently been shown that linear collapse models can never...

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Autores principales: Mertens, Lotte, van Wezel, Jasper
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10047787/
https://www.ncbi.nlm.nih.gov/pubmed/36981324
http://dx.doi.org/10.3390/e25030435
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author Mertens, Lotte
van Wezel, Jasper
author_facet Mertens, Lotte
van Wezel, Jasper
author_sort Mertens, Lotte
collection PubMed
description The argument of environment-assisted invariance (known as envariance) implying Born’s rule is widely used in models for quantum measurement to reason that they must yield the correct statistics, specifically for linear models. However, it has recently been shown that linear collapse models can never give rise to Born’s rule. Here, we address this apparent contradiction and point out an inconsistency in the assumptions underlying the arguments based on envariance. We use a construction in which the role of the measurement machine is made explicit and shows that the presence of envariance does not imply that every measurement will behave according to Born’s rule. Rather, it implies that every quantum state allows a measurement machine to be constructed, which yields Born’s rule when measuring that particular state. This resolves the paradox and is in agreement with the recent result of objective collapse models necessarily being nonlinear.
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spelling pubmed-100477872023-03-29 Environment-Assisted Invariance Does Not Necessitate Born’s Rule for Quantum Measurement Mertens, Lotte van Wezel, Jasper Entropy (Basel) Article The argument of environment-assisted invariance (known as envariance) implying Born’s rule is widely used in models for quantum measurement to reason that they must yield the correct statistics, specifically for linear models. However, it has recently been shown that linear collapse models can never give rise to Born’s rule. Here, we address this apparent contradiction and point out an inconsistency in the assumptions underlying the arguments based on envariance. We use a construction in which the role of the measurement machine is made explicit and shows that the presence of envariance does not imply that every measurement will behave according to Born’s rule. Rather, it implies that every quantum state allows a measurement machine to be constructed, which yields Born’s rule when measuring that particular state. This resolves the paradox and is in agreement with the recent result of objective collapse models necessarily being nonlinear. MDPI 2023-03-01 /pmc/articles/PMC10047787/ /pubmed/36981324 http://dx.doi.org/10.3390/e25030435 Text en © 2023 by the authors. 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
Mertens, Lotte
van Wezel, Jasper
Environment-Assisted Invariance Does Not Necessitate Born’s Rule for Quantum Measurement
title Environment-Assisted Invariance Does Not Necessitate Born’s Rule for Quantum Measurement
title_full Environment-Assisted Invariance Does Not Necessitate Born’s Rule for Quantum Measurement
title_fullStr Environment-Assisted Invariance Does Not Necessitate Born’s Rule for Quantum Measurement
title_full_unstemmed Environment-Assisted Invariance Does Not Necessitate Born’s Rule for Quantum Measurement
title_short Environment-Assisted Invariance Does Not Necessitate Born’s Rule for Quantum Measurement
title_sort environment-assisted invariance does not necessitate born’s rule for quantum measurement
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10047787/
https://www.ncbi.nlm.nih.gov/pubmed/36981324
http://dx.doi.org/10.3390/e25030435
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