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Lossless Brownian information engine

2018/02/06 by Govind Paneru, Dong Yun Lee, Tsvi Tlusty +1 · 2 citations
Physics and Astronomy · #cond-mat.stat-mech

paper · pdf · doi:10.1103/physrevlett.120.020601

published as Physical Review Letters 120, 020601 (2018)

arxiv created 2018/02/06 · arxiv updated 2018/02/07

Abstract

We report on a lossless information engine that converts nearly all available information from an error-free feedback protocol into mechanical work. Combining high-precision detection at resolution of 1 nm with ultrafast feedback control, the engine is tuned to extract the maximum work from information on the position of a Brownian particle. We show that the work produced by the engine achieves a bound set by a generalized second law of thermodynamics, demonstrating for the first time the sharpness of this bound. We validate a generalized Jarzynski equality for error-free feedback-controlled information engines.

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