Lossless Brownian information engine
Statistical Mechanics
2018-02-07 v1
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.
Keywords
Cite
@article{arxiv.1802.01868,
title = {Lossless Brownian information engine},
author = {Govind Paneru and Dong Yun Lee and Tsvi Tlusty and Hyuk Kyu Pak},
journal= {arXiv preprint arXiv:1802.01868},
year = {2018}
}