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Virtual potential created by a feedback loop: taming the feedback demon to explore stochastic thermodynamics of underdamped systems
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Virtual potential created by a feedback loop: taming the feedback demon to explore stochastic thermodynamics of underdamped systems
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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.
Forward citations
Cited by 3 Pith papers
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A neural-network Maxwell's demon learns cold damping for work extraction
A velocity-input neural Maxwell demon learns cold damping and extracts work near the theoretical bound from an underdamped thermal oscillator.
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First passage time for an underdamped harmonic oscillator and application to the power of an information engine
Derives first passage time distribution for underdamped harmonic oscillator via eigenvalues and approximations, applies to information engine power with micro-cantilever experiment.
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