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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...
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/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. |
format | Online Article Text |
id | pubmed-7512310 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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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