Harvesting information to control non-equilibrium states of active matter

Abstract

We propose to use a correlated noise bath to drive an optically trapped Brownian particle that mimics active biological matter. Thanks to the flexibility and precision of our setup, we are able to control the different parameters that drive the stochastic motion of the particle with unprecedented accuracy, thus reaching strongly correlated regimes that are not easily accessible with real active matter. In particular, by using the correlation time (i.e., the "color") of the noise as a control parameter, we can trigger transitions between two non-equilibrium steady states with no expended work, but only a calorific cost. Remarkably, the measured heat production is directly proportional to the spectral entropy of the correlated noise, in a fashion that is reminiscent of Landauer's principle. Our procedure can be viewed as a method for harvesting information from the active fluctuations.

5 pages, 4 figures, plus Appendix

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Cited by in corpus (7)

• Information engine in a nonequilibrium bath
• Optimal time-entropy bounds and speed limits for Brownian thermal shortcuts
• The fluctuation-dissipation relation holds for a macroscopic tracer in an active bath
• Statistical mechanics of passive Brownian particles in a fluctuating harmonic trap
• Nonequilibrium steady state of Brownian motion in an intermittent potential
• Probing the limits of effective temperature consistency in actively driven systems
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