English

Taming a Maxwell's demon for experimental stochastic resetting

Statistical Mechanics 2024-11-15 v2

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 non-equilibrium 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 non-equilibrium 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 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 non-ergodic 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 non-equilibrium thermodynamic control.

Keywords

Cite

@article{arxiv.2306.09503,
  title  = {Taming a Maxwell's demon for experimental stochastic resetting},
  author = {Rémi Goerlich and Minghao Li and Luís Barbosa Pires and Paul-Antoine Hervieux and Giovanni Manfredi and Cyriaque Genet},
  journal= {arXiv preprint arXiv:2306.09503},
  year   = {2024}
}

Comments

19 pages, 14 figures

R2 v1 2026-06-28T11:06:38.333Z