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Abstract

The relation between entropy and information dates back to the classical Maxwell demon paradox1, a thought experiment proposed in 1867 by James Clerk Maxwell to violate the second law of thermodynamics. A variant of the classical Maxwell demon is the Szilard engine, proposed by Leo Szilard in 19291. In it, at a given time, the demon observes the compartment occupied by a single molecule in a vessel and extracts work by operating a pulley device. Here, we introduce the continuous Maxwell demon, a device capable of extracting arbitrarily large amounts of work per cycle by repeated measurements of the state of a system, and experimentally test it in single DNA hairpin pulling experiments. In the continuous Maxwell demon, the demon monitors the state of the DNA hairpin (folded or unfolded) by observing it at equally spaced time intervals, but it extracts work only when the molecule changes state. We demonstrate that the average maximum work per cycle that can be extracted by the continuous Maxwell demon is limited by the information content of the stored sequences, in agreement with the second law. Work extraction efficiency is found to be maximal in the large information-content limit where work extraction is fuelled by rare events.

A continuous version of the Maxwell demon is a machine that repeatedly monitors a system, but extracts work only on state change. Arbitrarily large quantities of work can thus be extracted, as demonstrated by DNA hairpin pulling experiments.

Details

Title
Large work extraction and the Landauer limit in a continuous Maxwell demon
Author
Ribezzi-Crivellari, M 1   VIAFID ORCID Logo  ; Ritort, F 2   VIAFID ORCID Logo 

 University of Barcelona, Condensed Matter Physics Department, Barcelona, Spain (GRID:grid.5841.8) (ISNI:0000 0004 1937 0247); UMR 8231, ESPCI Paris/CNRS, PSL Research University, Laboratoire de Biochimie, Institute of Chemistry, Biology and Innovation (CBI), Paris, France (GRID:grid.440907.e) (ISNI:0000 0004 1784 3645) 
 University of Barcelona, Condensed Matter Physics Department, Barcelona, Spain (GRID:grid.5841.8) (ISNI:0000 0004 1937 0247); CIBER-BBN de Bioingeniería, Biomateriales y Nanomedicina, Instituto de Sanidad Carlos III, Madrid, Spain (GRID:grid.5841.8) 
Pages
660-664
Publication year
2019
Publication date
Jul 2019
Publisher
Nature Publishing Group
ISSN
17452473
e-ISSN
17452481
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2250578757
Copyright
2019© The Author(s), under exclusive licence to Springer Nature Limited 2019