Converting nearly all available information into work by a nearly error-free Brownian information engine
ORAL
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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Presenters
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Hyuk Kyu Pak
Center for Soft and Living Matter, Institute of Basic Science
Authors
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Hyuk Kyu Pak
Center for Soft and Living Matter, Institute of Basic Science
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Govind Paneru
Center for Soft and Living Matter, Institute of Basic Science
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Dong yun Lee
Center for Soft and Living Matter, Institute of Basic Science
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Tsvi Tlusty
Center for Soft and Living Matter, Institute of Basic Science, Institute for Basic Science, Center for Soft and Living Matter, Institute for Basic Science (IBS)