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

Autor: Saurav Talukdar, Shreyas Bhaban, James Melbourne, Murti Salapaka
Jazyk: angličtina
Rok vydání: 2018
Předmět:
Zdroj: Entropy, Vol 20, Iss 10, p 749 (2018)
Druh dokumentu: article
ISSN: 1099-4300
DOI: 10.3390/e20100749
Popis: 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.
Databáze: Directory of Open Access Journals