Maximal fluctuation exploitation in Gaussian information engines

Abstract

Understanding the connections between information and thermodynamics has been among the most visible applications of stochastic thermodynamics. While recent theoretical advances have established that the second law of thermodynamics sets limits on information-to-energy conversion, it is currently unclear to what extent real systems can achieve the predicted theoretical limits. Using a simple model of an information engine that has recently been experimentally implemented, we explore the limits of information-to-energy conversion when an information engine's benefit is limited to output energy that can be stored. We find that restricting the engine's output in this way can limit its ability to convert information to energy. Nevertheless, a feedback control that inputs work can allow the engine to store energy at the highest achievable rate. These results sharpen our theoretical understanding of the limits of real systems that convert information to energy.

arXiv comment17 pages, 17 figures

References in corpus (16)

• Stochastic thermodynamics, fluctuation theorems, and molecular machines
• Global Optimization by Basin-Hopping and the Lowest Energy Structures of Lennard-Jones Clusters Containing up to 110 Atoms
• Information heat engine: converting information to energy by feedback control
• Generalized Jarzynski Equality under Nonequilibrium Feedback Control
• Nonequilibrium Thermodynamics of Feedback Control
• Nonequilibrium Detailed Fluctuation Theorem for Repeated Discrete Feedback
• Thermodynamics of feedback controlled systems
• Second-law-like inequalities with information and their interpretations
• Large work extraction and the Landauer limit in a continuous Maxwell demon
• Fluctuation Theorems of Brownian Particles Controlled by a Maxwell's Demon
• Fluctuation relations and coarse-graining
• Phase transition in protocols minimizing work fluctuations
• Maximizing power and velocity of an information engine
• Optimal tuning of a confined Brownian information engine
• Extracting work optimally with imprecise measurements
• Reversible feedback confinement

Cited by in corpus (10)

• Driving rapidly while remaining in control: classical shortcuts from Hamiltonian to stochastic dynamics
• Information engine in a nonequilibrium bath
• Energy and information flows in autonomous systems
• Bayesian information engine that optimally exploits noisy measurements
• Energetic cost of feedback control
• Information Arbitrage in Bipartite Heat Engines
• Performance limits of information engines
• Information in feedback ratchets
• Driven particle in a one dimensional periodic potential with feedback control: efficiency and power optimization
• Markovian description of a wide class of feedback-controlled systems: Application to the feedback flashing ratchet