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.

Presenters

  • Hyuk Kyu Pak

    Center for Soft and Living Matter, Institute of Basic Science

Authors

  • Hyuk Kyu Pak

    Center for Soft and Living Matter, Institute of Basic Science

  • Govind Paneru

    Center for Soft and Living Matter, Institute of Basic Science

  • Dong yun Lee

    Center for Soft and Living Matter, Institute of Basic Science

  • 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)