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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Main Authors: Saurav Talukdar, Shreyas Bhaban, James Melbourne, Murti Salapaka
Format: Article
Language:English
Published: MDPI AG 2018-09-01
Series:Entropy
Subjects:
Online Access:http://www.mdpi.com/1099-4300/20/10/749
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author Saurav Talukdar
Shreyas Bhaban
James Melbourne
Murti Salapaka
author_facet Saurav Talukdar
Shreyas Bhaban
James Melbourne
Murti Salapaka
author_sort Saurav Talukdar
collection DOAJ
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 doaj.art-d21139c90da041cdb73ad21d528281ae2022-12-22T04:25:12ZengMDPI AGEntropy1099-43002018-09-01201074910.3390/e20100749e20100749Analysis of Heat Dissipation and Reliability in Information Erasure: A Gaussian Mixture ApproachSaurav Talukdar0Shreyas Bhaban1James Melbourne2Murti Salapaka3Department of Mechanical Engineering, University of Minnesota-Twin Cities, Minneapolis, MN 55455, USADepartment of Electrical and Computer Engineering, University of Minnesota-Twin Cities, Minneapolis, MN 55455, USADepartment of Electrical and Computer Engineering, University of Minnesota-Twin Cities, Minneapolis, MN 55455, USADepartment of Electrical and Computer Engineering, University of Minnesota-Twin Cities, Minneapolis, MN 55455, USAThis 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.http://www.mdpi.com/1099-4300/20/10/749information erasuregeneralized Landauer’s principlethermodynamics of informationreliability of a bit
spellingShingle Saurav Talukdar
Shreyas Bhaban
James Melbourne
Murti Salapaka
Analysis of Heat Dissipation and Reliability in Information Erasure: A Gaussian Mixture Approach
Entropy
information erasure
generalized Landauer’s principle
thermodynamics of information
reliability of a bit
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 information erasure
generalized Landauer’s principle
thermodynamics of information
reliability of a bit
url http://www.mdpi.com/1099-4300/20/10/749
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