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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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arxiv 2311.12687 v1 pith:JP4V5AZ3 submitted 2023-11-21 cond-mat.stat-mech cond-mat.mes-hall

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

classification cond-mat.stat-mech cond-mat.mes-hall
keywords feedbackpotentialvirtualcreateloopsystemdemondouble-well
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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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.

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Cited by 3 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score.

  1. First passage time for an underdamped harmonic oscillator and application to the power of an information engine

    cond-mat.stat-mech 2026-07 conditional novelty 7.0

    Closed-form first-passage-time distribution for an underdamped harmonic oscillator (short-time Hamiltonian + long-time Kramers) agrees with micro-cantilever data and yields the power of an information engine.

  2. A neural-network Maxwell's demon learns cold damping for work extraction

    cond-mat.stat-mech 2026-07 accept novelty 6.0

    A velocity-input neural Maxwell demon learns cold damping and extracts work near the theoretical bound from an underdamped thermal oscillator.

  3. First passage time for an underdamped harmonic oscillator and application to the power of an information engine

    cond-mat.stat-mech 2026-07 unverdicted novelty 5.0

    Derives first passage time distribution for underdamped harmonic oscillator via eigenvalues and approximations, applies to information engine power with micro-cantilever experiment.