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Information ratchets exploiting spatially structured information reservoirs

Spinney, Richard E., Prokopenko, Mikhail, Chu, Dominique (2018) Information ratchets exploiting spatially structured information reservoirs. Physical Review E: Statistical, Nonlinear, and Soft Matter Physics, 98 (2). ISSN 2470-0045. (doi:10.1103/PhysRevE.98.022124) (KAR id:67362)

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Abstract

Fully mechanized “Maxwell’s demons,” sometimes also called information ratchets are an important

low entropy information reservoirs to extract work from a heat reservoir. Previous models of such

or assumed random access or “infinite dimensional” information reservoirs to avoid such an issue.

and show that the dimensionality of the reservoir has a significant impact on the performance and

extraction is greatly reduced. An expression for the net-extracted work by demons exploring information

is presented. Furthermore, we derive exact probabilities of recurrence in these systems, generalizing

Firstly to extract work at zero bias the dimensionality of the information reservoir must be larger

for integer dimensions d > 4 the unbiased random walk optimizes work extraction corresponding to

the dimensions where a simple random walker is strongly transient.

Item Type: Article
DOI/Identification number: 10.1103/PhysRevE.98.022124
Uncontrolled keywords: information theory, energetics of computation
Subjects: Q Science
Divisions: Faculties > Sciences > School of Computing
Depositing User: Dominique Chu
Date Deposited: 19 Jun 2018 10:08 UTC
Last Modified: 29 May 2019 20:38 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/67362 (The current URI for this page, for reference purposes)
Chu, Dominique: https://orcid.org/0000-0002-3706-2905
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