Extracting Work Optimally with Imprecise Measurements



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Dinis Vizcaíno, Luis Ignacio and Rodríguez Parrondo, Juan Manuel (2020) Extracting Work Optimally with Imprecise Measurements. Entropy, 23 (1). ISSN 1099-4300

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Official URL: https://doi.org/10.3390/e23010008


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.

Item Type:Article
Additional Information:

L.D. and J.M.R.P. acknowledge financial support from Ministerio de Ciencia, Innovación y Universidades grant number FIS2017-83709-R.

Uncontrolled Keywords:Confinement; Information theory; Brownian particle; Stochastic thermodynamics
Subjects:Sciences > Physics > Nuclear physics
ID Code:66746
Deposited On:26 Jul 2021 09:43
Last Modified:18 Aug 2021 11:03

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