Analysis of heat dissipation and reliability in information erasure: A Gaussian mixture approach

Saurav Talukdar, Shreyas Bhaban, James Melbourne, Murti Salapaka

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3 Scopus citations

Abstract

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.

Original languageEnglish (US)
Article number749
JournalEntropy
Volume20
Issue number10
DOIs
StatePublished - Oct 1 2018

Bibliographical note

Funding Information:
The authors acknowledge the support of the National Science Foundation for funding the research under Grant No. CMMI-1462862 and ECCS 1809194. We would like to thank Arnab Sen, Department of Mathematics, University of Minnesota for initial discussion about the problem. The authors also thank the anonymous reviewers for their insightful comments during the review process.

Publisher Copyright:
© 2018 by the authors.

Keywords

  • Generalized Landauer's principle
  • Information erasure
  • Reliability of a bit
  • Thermodynamics of information

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