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From a feedback-controlled demon to an information ratchet in a double quantum dot
Debankur Bhattacharyya1, Christopher Jarzynski2
1Institute for Physical Science and Technology, University of Maryland, College Park, Maryland 20742, USA.
Physical Review. E
|January 21, 2023
Summary
This study develops a memory-tape model for Maxwell's demon using a feedback-controlled system. The new information ratchet model offers insights into operational modes through analytical and simulation methods.
Area of Science:
- Statistical mechanics
- Quantum information theory
- Thermodynamics
Background:
- Maxwell's demon is a thought experiment exploring the relationship between information and thermodynamics.
- Feedback-controlled systems offer a potential pathway to realizing demon-like behavior.
- Previous models often lack a direct link to information processing mechanisms.
Purpose of the Study:
- To construct a simple information ratchet (memory-tape) model of Maxwell's demon.
- To adapt a feedback-controlled quantum dot model into a memory-tape framework.
- To analyze the operational modes of the constructed information ratchet.
Main Methods:
- Conversion of the Annby-Andersson feedback-controlled double quantum dot model into a memory-tape model.
- Design of bit interaction rules based on the original model's network structure.
- Analytical solutions for long interaction times and semianalytical phase diagrams for finite-time interactions.
- Stochastic simulations for verification of theoretical findings.
Main Results:
- Successfully constructed an information ratchet model from a feedback-controlled system.
- Obtained analytical solutions in the long interaction time limit.
- Derived semianalytical phase diagrams illustrating operational modes for finite-time interactions.
- Validated theoretical results using stochastic simulations.
Conclusions:
- The developed strategy provides a straightforward method for creating memory-tape models of Maxwell's demon.
- The study demonstrates the utility of feedback-controlled models in information ratchet construction.
- The findings contribute to understanding the thermodynamics of information processing.
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