Lossless Brownian Information Engine

Govind Paneru, Dong Yun Lee, Tsvi Tlusty, and Hyuk Kyu Pak
Phys. Rev. Lett. 120, 020601 – Published 12 January 2018
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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 a 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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  • Received 28 September 2017
  • Revised 23 October 2017

DOI:https://doi.org/10.1103/PhysRevLett.120.020601

© 2018 American Physical Society

Physics Subject Headings (PhySH)

Statistical Physics & Thermodynamics

Authors & Affiliations

Govind Paneru1, Dong Yun Lee1,†, Tsvi Tlusty1,2, and Hyuk Kyu Pak1,2,*

  • 1Center for Soft and Living Matter, Institute for Basic Science (IBS), Ulsan 44919, Republic of Korea
  • 2Department of Physics, Ulsan National Institute of Science and Technology (UNIST), Ulsan 44919, Republic of Korea

  • *hyuk.k.pak@gmail.com
  • Present address: Departament de Física de la Matèria Condensada, Universitat de Barcelona, Barcelona 08028, Spain.

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Issue

Vol. 120, Iss. 2 — 12 January 2018

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