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Thermodynamics of Majority-Logic Decoding in Information Erasure
We investigate the performance of majority-logic decoding in both reversible and finite-time information erasure processes performed on macroscopic bits that contain N microscopic binary units. While we show that for reversible erasure protocols single-unit transformations are more efficient than ma...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7514764/ https://www.ncbi.nlm.nih.gov/pubmed/33266999 http://dx.doi.org/10.3390/e21030284 |
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author | Sheng, Shiqi Herpich, Tim Diana, Giovanni Esposito, Massimiliano |
author_facet | Sheng, Shiqi Herpich, Tim Diana, Giovanni Esposito, Massimiliano |
author_sort | Sheng, Shiqi |
collection | PubMed |
description | We investigate the performance of majority-logic decoding in both reversible and finite-time information erasure processes performed on macroscopic bits that contain N microscopic binary units. While we show that for reversible erasure protocols single-unit transformations are more efficient than majority-logic decoding, the latter is found to offer several benefits for finite-time erasure processes: Both the minimal erasure duration for a given erasure and the minimal erasure error for a given erasure duration are reduced, if compared to a single unit. Remarkably, the majority-logic decoding is also more efficient in both the small-erasure error and fast-erasure region. These benefits are also preserved under the optimal erasure protocol that minimizes the dissipated heat. Our work therefore shows that majority-logic decoding can lift the precision-speed-efficiency trade-off in information erasure processes. |
format | Online Article Text |
id | pubmed-7514764 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-75147642020-11-09 Thermodynamics of Majority-Logic Decoding in Information Erasure Sheng, Shiqi Herpich, Tim Diana, Giovanni Esposito, Massimiliano Entropy (Basel) Article We investigate the performance of majority-logic decoding in both reversible and finite-time information erasure processes performed on macroscopic bits that contain N microscopic binary units. While we show that for reversible erasure protocols single-unit transformations are more efficient than majority-logic decoding, the latter is found to offer several benefits for finite-time erasure processes: Both the minimal erasure duration for a given erasure and the minimal erasure error for a given erasure duration are reduced, if compared to a single unit. Remarkably, the majority-logic decoding is also more efficient in both the small-erasure error and fast-erasure region. These benefits are also preserved under the optimal erasure protocol that minimizes the dissipated heat. Our work therefore shows that majority-logic decoding can lift the precision-speed-efficiency trade-off in information erasure processes. MDPI 2019-03-15 /pmc/articles/PMC7514764/ /pubmed/33266999 http://dx.doi.org/10.3390/e21030284 Text en © 2019 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 Sheng, Shiqi Herpich, Tim Diana, Giovanni Esposito, Massimiliano Thermodynamics of Majority-Logic Decoding in Information Erasure |
title | Thermodynamics of Majority-Logic Decoding in Information Erasure |
title_full | Thermodynamics of Majority-Logic Decoding in Information Erasure |
title_fullStr | Thermodynamics of Majority-Logic Decoding in Information Erasure |
title_full_unstemmed | Thermodynamics of Majority-Logic Decoding in Information Erasure |
title_short | Thermodynamics of Majority-Logic Decoding in Information Erasure |
title_sort | thermodynamics of majority-logic decoding in information erasure |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7514764/ https://www.ncbi.nlm.nih.gov/pubmed/33266999 http://dx.doi.org/10.3390/e21030284 |
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