Taming a Maxwell's demon for experimental stochastic resetting

A diffusive process that is reset to its origin at random times, so-called stochastic resetting (SR), is an ubiquitous expedient in many natural systems. Yet, beyond its ability to improve the efficiency of target searching, SR is a true nonequilibrium thermodynamic process that brings forward new and challenging questions. Here, we show how the recent developments of experimental information thermodynamics renew the way to address SR and can lead, beyond a new understanding, to better control on the nonequilibrium nature of SR. This thermodynamically controlled SR is experimentally implemented within a time-dependent optical trapping potential. We show in particular that SR converts heat into work from a single bath continuously and without feedback. This implements a Maxwell's demon that constantly erases information. In our experiments, the erasure takes the form of a protocol that allows us to evaluate the true energetic cost of SR. We show that using an appropriate measure of the available information, this cost can be reduced to a reversible minimum while being bounded by the Landauer limit. We finally reveal that the individual trajectories generated by the demon all break ergodicity and thus demonstrate the nonergodic nature of the demon's modus operandi. Our results offer new approaches to processes, such as SR, where the informational framework provides key experimental tools for their nonequilibrium thermodynamic control.

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Publication Details

Journal
Physical review. E
Published
2025-10-09
DOI
https://doi.org/10.1103/jcvp-6yw2
Citations
1
Primary Topic
Diffusion and Search Dynamics
Type
article
Field-Weighted Citation Impact
0.81
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article

Taming a Maxwell's demon for experimental stochastic resetting

Rémi Goerlich, Cyriaque Genet, Giovanni Manfredi, Luís Barbosa Pires et al.
1 citations
Physical review. E
Diffusion and Search Dynamics
0.81
article

Taming a Maxwell's demon for experimental stochastic resetting

Rémi Goerlich, Cyriaque Genet, Giovanni Manfredi, Luís Barbosa Pires, Paul-Antoine Hervieux, Minghao Li
article en
1 citations

Abstract

A diffusive process that is reset to its origin at random times, so-called stochastic resetting (SR), is an ubiquitous expedient in many natural systems. Yet, beyond its ability to improve the efficiency of target searching, SR is a true nonequilibrium thermodynamic process that brings forward new and challenging questions. Here, we show how the recent developments of experimental information thermodynamics renew the way to address SR and can lead, beyond a new understanding, to better control on the nonequilibrium nature of SR. This thermodynamically controlled SR is experimentally implemented within a time-dependent optical trapping potential. We show in particular that SR converts heat into work from a single bath continuously and without feedback. This implements a Maxwell's demon that constantly erases information. In our experiments, the erasure takes the form of a protocol that allows us to evaluate the true energetic cost of SR. We show that using an appropriate measure of the available information, this cost can be reduced to a reversible minimum while being bounded by the Landauer limit. We finally reveal that the individual trajectories generated by the demon all break ergodicity and thus demonstrate the nonergodic nature of the demon's modus operandi. Our results offer new approaches to processes, such as SR, where the informational framework provides key experimental tools for their nonequilibrium thermodynamic control.

Physical review. EVol. 112(6)
Universidade Federal de Viçosa (BR), Tel Aviv University (IL), University of Basel (CH), Institut de Science et d'Ingénierie Supramoléculaires (FR), Institut de Physique et Chimie des Matériaux de Strasbourg (FR), Université de Strasbourg (FR)
Openalex Percentile: Top 21%
Diffusion and Search Dynamics
0.81
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