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Thermodynamics of Majority-Logic Decoding in Information Erasure

Authors :
Shiqi Sheng
Tim Herpich
Giovanni Diana
Massimiliano Esposito
Source :
Entropy, Vol 21, Iss 3, p 284 (2019)
Publication Year :
2019
Publisher :
MDPI AG, 2019.

Abstract

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.

Details

Language :
English
ISSN :
10994300
Volume :
21
Issue :
3
Database :
Directory of Open Access Journals
Journal :
Entropy
Publication Type :
Academic Journal
Accession number :
edsdoj.1b6c7add8484412a690b4de1aea574a
Document Type :
article
Full Text :
https://doi.org/10.3390/e21030284