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Analysis of Heat Dissipation and Reliability in Information Erasure: A Gaussian Mixture Approach

This article analyzes the effect of imperfections in physically realizable memory. Motivated by the realization of a bit as a Brownian particle within a double well potential, we investigate the energetics of an erasure protocol under a Gaussian mixture model. We obtain sharp quantitative entropy bo...

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Detalles Bibliográficos
Autores principales: Talukdar, Saurav, Bhaban, Shreyas, Melbourne, James, Salapaka, Murti
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7512310/
https://www.ncbi.nlm.nih.gov/pubmed/33265838
http://dx.doi.org/10.3390/e20100749
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author Talukdar, Saurav
Bhaban, Shreyas
Melbourne, James
Salapaka, Murti
author_facet Talukdar, Saurav
Bhaban, Shreyas
Melbourne, James
Salapaka, Murti
author_sort Talukdar, Saurav
collection PubMed
description This article analyzes the effect of imperfections in physically realizable memory. Motivated by the realization of a bit as a Brownian particle within a double well potential, we investigate the energetics of an erasure protocol under a Gaussian mixture model. We obtain sharp quantitative entropy bounds that not only give rigorous justification for heuristics utilized in prior works, but also provide a guide toward the minimal scale at which an erasure protocol can be performed. We also compare the results obtained with the mean escape times from double wells to ensure reliability of the memory. The article quantifies the effect of overlap of two Gaussians on the the loss of interpretability of the state of a one bit memory, the required heat dissipated in partially successful erasures and reliability of information stored in a memory bit.
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spelling pubmed-75123102020-11-09 Analysis of Heat Dissipation and Reliability in Information Erasure: A Gaussian Mixture Approach Talukdar, Saurav Bhaban, Shreyas Melbourne, James Salapaka, Murti Entropy (Basel) Article This article analyzes the effect of imperfections in physically realizable memory. Motivated by the realization of a bit as a Brownian particle within a double well potential, we investigate the energetics of an erasure protocol under a Gaussian mixture model. We obtain sharp quantitative entropy bounds that not only give rigorous justification for heuristics utilized in prior works, but also provide a guide toward the minimal scale at which an erasure protocol can be performed. We also compare the results obtained with the mean escape times from double wells to ensure reliability of the memory. The article quantifies the effect of overlap of two Gaussians on the the loss of interpretability of the state of a one bit memory, the required heat dissipated in partially successful erasures and reliability of information stored in a memory bit. MDPI 2018-09-30 /pmc/articles/PMC7512310/ /pubmed/33265838 http://dx.doi.org/10.3390/e20100749 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
Talukdar, Saurav
Bhaban, Shreyas
Melbourne, James
Salapaka, Murti
Analysis of Heat Dissipation and Reliability in Information Erasure: A Gaussian Mixture Approach
title Analysis of Heat Dissipation and Reliability in Information Erasure: A Gaussian Mixture Approach
title_full Analysis of Heat Dissipation and Reliability in Information Erasure: A Gaussian Mixture Approach
title_fullStr Analysis of Heat Dissipation and Reliability in Information Erasure: A Gaussian Mixture Approach
title_full_unstemmed Analysis of Heat Dissipation and Reliability in Information Erasure: A Gaussian Mixture Approach
title_short Analysis of Heat Dissipation and Reliability in Information Erasure: A Gaussian Mixture Approach
title_sort analysis of heat dissipation and reliability in information erasure: a gaussian mixture approach
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7512310/
https://www.ncbi.nlm.nih.gov/pubmed/33265838
http://dx.doi.org/10.3390/e20100749
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