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Article

Extracting Work Optimally with Imprecise Measurements

1
Grupo Interdisciplinar de Sistemas Complejos, Facultad de Ciencias Físicas, 28040 Madrid, Spain
2
Departamento de Estructura de la Materia, Física Térmica y Electrónica, Universidad Complutense de Madrid, 28040 Madrid, Spain
*
Author to whom correspondence should be addressed.
Entropy 2021, 23(1), 8; https://doi.org/10.3390/e23010008
Received: 30 October 2020 / Revised: 18 December 2020 / Accepted: 19 December 2020 / Published: 23 December 2020
(This article belongs to the Special Issue Recent Advances in Single-Particle Tracking: Experiment and Analysis)
Measurement and feedback allows for an external agent to extract work from a system in contact with a single thermal bath. The maximum amount of work that can be extracted in a single measurement and the corresponding feedback loop is given by the information that is acquired via the measurement, a result that manifests the close relation between information theory and stochastic thermodynamics. In this paper, we show how to reversibly confine a Brownian particle in an optical tweezer potential and then extract the corresponding increase of the free energy as work. By repeatedly tracking the position of the particle and modifying the potential accordingly, we can extract work optimally, even with a high degree of inaccuracy in the measurements. View Full-Text
Keywords: confinement; information theory; Brownian particle; stochastic thermodynamics confinement; information theory; Brownian particle; stochastic thermodynamics
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MDPI and ACS Style

Dinis, L.; Parrondo, J.M.R. Extracting Work Optimally with Imprecise Measurements. Entropy 2021, 23, 8. https://doi.org/10.3390/e23010008

AMA Style

Dinis L, Parrondo JMR. Extracting Work Optimally with Imprecise Measurements. Entropy. 2021; 23(1):8. https://doi.org/10.3390/e23010008

Chicago/Turabian Style

Dinis, Luis, and Juan M.R. Parrondo 2021. "Extracting Work Optimally with Imprecise Measurements" Entropy 23, no. 1: 8. https://doi.org/10.3390/e23010008

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