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利用不精确测量进行最优工作提取

Extracting Work Optimally with Imprecise Measurements.

作者信息

Dinis Luis, Parrondo Juan Manuel Rodríguez

机构信息

Grupo Interdisciplinar de Sistemas Complejos, Facultad de Ciencias Físicas, 28040 Madrid, Spain.

Departamento de Estructura de la Materia, Física Térmica y Electrónica, Universidad Complutense de Madrid, 28040 Madrid, Spain.

出版信息

Entropy (Basel). 2020 Dec 23;23(1):8. doi: 10.3390/e23010008.

Abstract

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.

摘要

测量与反馈使得外部主体能够从与单一热库接触的系统中提取功。在单次测量及相应反馈回路中能够提取的最大功量由通过测量获取的信息给出,这一结果体现了信息论与随机热力学之间的紧密联系。在本文中,我们展示了如何在光镊势场中可逆地限制一个布朗粒子,然后提取相应的自由能增加量作为功。通过反复跟踪粒子的位置并相应地修改势场,即使测量存在高度不准确性,我们也能最优地提取功。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1de2/7822207/d0cbb33dd1ff/entropy-23-00008-g001.jpg

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