Efficiency fluctuations and noise induced refrigerator-to-heater transition in information engines

Govind Paneru, Sandipan Dutta, Takahiro Sagawa, Tsvi Tlusty () and Hyuk Kyu Pak ()
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Govind Paneru: Institute for Basic Science (IBS)
Sandipan Dutta: Institute for Basic Science (IBS)
Takahiro Sagawa: University of Tokyo
Tsvi Tlusty: Institute for Basic Science (IBS)
Hyuk Kyu Pak: Institute for Basic Science (IBS)

Nature Communications, 2020, vol. 11, issue 1, 1-8

Abstract: Abstract Understanding noisy information engines is a fundamental problem of non-equilibrium physics, particularly in biomolecular systems agitated by thermal and active fluctuations in the cell. By the generalized second law of thermodynamics, the efficiency of these engines is bounded by the mutual information passing through their noisy feedback loop. Yet, direct measurement of the interplay between mutual information and energy has so far been elusive. To allow such examination, we explore here the entire phase-space of a noisy colloidal information engine, and study efficiency fluctuations due to the stochasticity of the mutual information and extracted work. We find that the average efficiency is maximal for non-zero noise level, at which the distribution of efficiency switches from bimodal to unimodal, and the stochastic efficiency often exceeds unity. We identify a line of anomalous, noise-driven equilibrium states that defines a refrigerator-to-heater transition, and test the generalized integral fluctuation theorem for continuous engines.

Date: 2020
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DOI: 10.1038/s41467-020-14823-x

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