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Virtual potential created by a feedback loop: taming the feedback demon to explore stochastic thermodynamics of underdamped systems

Authors :
Dago, SalambĂ´
Barros, Nicolas
Pereda, Jorge
Ciliberto, Sergio
Bellon, Ludovic
Source :
In: Bouju, X., Joachim, C. (eds) Crossroad of Maxwell Demon. CMD 2023. Advances in Atom and Single Molecule Machines. Springer, Cham
Publication Year :
2023

Abstract

Virtual potentials are an elegant, precise and flexible tool to manipulate small systems and explore fundamental questions in stochastic thermodynamics. In particular double-well potentials have applications in information processing, such as the demonstration of Landauer's principle. In this chapter, we detail the implementation of a feedback loop for an underdamped system, in order to build a tunable virtual double-well potential. This feedback behaves as a demon acting on the system depending on the outcome of a continuously running measurement. It can thus modify the energy exchanges with the thermostat and create an out-of-equilibrium state. To create a bi-stable potential, the feedback consists only in switching an external force between two steady values when the measured position crosses a threshold. We show that a small delay of the feedback loop in the switches between the two wells results in a modified velocity distribution. The latter can be interpreted as a cooling of the kinetic temperature of the system. Using a fast digital feedback, we successfully address all experimental issues to create a virtual potential that is statistically indistinguishable from a physical one, with a tunable barrier height and energy step between the two wells.<br />Comment: Proceedings of the "Crossroad of Maxwell Demon" workshop in Toulouse, March 2023, to be published in Volume 15 of the Springer-Nature Series "Advances in Atom and Single Molecule Machines". arXiv admin note: text overlap with arXiv:2201.09870

Details

Database :
arXiv
Journal :
In: Bouju, X., Joachim, C. (eds) Crossroad of Maxwell Demon. CMD 2023. Advances in Atom and Single Molecule Machines. Springer, Cham
Publication Type :
Report
Accession number :
edsarx.2311.12687
Document Type :
Working Paper
Full Text :
https://doi.org/10.1007/978-3-031-57904-2_6