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Bound on Efficiency of Heat Engine from Uncertainty Relation Viewpoint

Quantum cycles in established heat engines can be modeled with various quantum systems as working substances. For example, a heat engine can be modeled with an infinite potential well as the working substance to determine the efficiency and work done. However, in this method, the relationship betwee...

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Autores principales: Chattopadhyay, Pritam, Mitra, Ayan, Paul, Goutam, Zarikas, Vasilios
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8068911/
https://www.ncbi.nlm.nih.gov/pubmed/33918678
http://dx.doi.org/10.3390/e23040439
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author Chattopadhyay, Pritam
Mitra, Ayan
Paul, Goutam
Zarikas, Vasilios
author_facet Chattopadhyay, Pritam
Mitra, Ayan
Paul, Goutam
Zarikas, Vasilios
author_sort Chattopadhyay, Pritam
collection PubMed
description Quantum cycles in established heat engines can be modeled with various quantum systems as working substances. For example, a heat engine can be modeled with an infinite potential well as the working substance to determine the efficiency and work done. However, in this method, the relationship between the quantum observables and the physically measurable parameters—i.e., the efficiency and work done—is not well understood from the quantum mechanics approach. A detailed analysis is needed to link the thermodynamic variables (on which the efficiency and work done depends) with the uncertainty principle for better understanding. Here, we present the connection of the sum uncertainty relation of position and momentum operators with thermodynamic variables in the quantum heat engine model. We are able to determine the upper and lower bounds on the efficiency of the heat engine through the uncertainty relation.
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spelling pubmed-80689112021-04-26 Bound on Efficiency of Heat Engine from Uncertainty Relation Viewpoint Chattopadhyay, Pritam Mitra, Ayan Paul, Goutam Zarikas, Vasilios Entropy (Basel) Article Quantum cycles in established heat engines can be modeled with various quantum systems as working substances. For example, a heat engine can be modeled with an infinite potential well as the working substance to determine the efficiency and work done. However, in this method, the relationship between the quantum observables and the physically measurable parameters—i.e., the efficiency and work done—is not well understood from the quantum mechanics approach. A detailed analysis is needed to link the thermodynamic variables (on which the efficiency and work done depends) with the uncertainty principle for better understanding. Here, we present the connection of the sum uncertainty relation of position and momentum operators with thermodynamic variables in the quantum heat engine model. We are able to determine the upper and lower bounds on the efficiency of the heat engine through the uncertainty relation. MDPI 2021-04-09 /pmc/articles/PMC8068911/ /pubmed/33918678 http://dx.doi.org/10.3390/e23040439 Text en © 2021 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 (http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ).
spellingShingle Article
Chattopadhyay, Pritam
Mitra, Ayan
Paul, Goutam
Zarikas, Vasilios
Bound on Efficiency of Heat Engine from Uncertainty Relation Viewpoint
title Bound on Efficiency of Heat Engine from Uncertainty Relation Viewpoint
title_full Bound on Efficiency of Heat Engine from Uncertainty Relation Viewpoint
title_fullStr Bound on Efficiency of Heat Engine from Uncertainty Relation Viewpoint
title_full_unstemmed Bound on Efficiency of Heat Engine from Uncertainty Relation Viewpoint
title_short Bound on Efficiency of Heat Engine from Uncertainty Relation Viewpoint
title_sort bound on efficiency of heat engine from uncertainty relation viewpoint
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8068911/
https://www.ncbi.nlm.nih.gov/pubmed/33918678
http://dx.doi.org/10.3390/e23040439
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