Quantum Work Extraction in a Jaynes-Cummings System with Feedback Control

This includes Python simulation code and supporting documents investigating quantum thermodynamics in a two-qubit Jaynes-Cummings system. It explores extractable work (ergotropy) and entanglement under adaptive, delayed feedback control based on the Structured Energy Return (SER) hypothesis. The simulation uses the Lindblad master equation to model the system's evolution with varying coupling strengths and feedback parameters, including a realistic feedback delay. Findings suggest feedback enhances coherence and work extraction, sometimes independently of entanglement measures. An associated experimental proposal outlines potential validation using superconducting circuits. The python script used for numerical simulation is provided here as well as github.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-04-02
DOI
https://doi.org/10.5281/zenodo.15123296
Primary Topic
Advanced Thermodynamics and Statistical Mechanics
Type
article
Field-Weighted Citation Impact
0.00
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article

Quantum Work Extraction in a Jaynes-Cummings System with Feedback Control

Zenodo (CERN European Organization for Nuclear Research)
Advanced Thermodynamics and Statistical Mechanics
article

Quantum Work Extraction in a Jaynes-Cummings System with Feedback Control

article en

Abstract

This includes Python simulation code and supporting documents investigating quantum thermodynamics in a two-qubit Jaynes-Cummings system. It explores extractable work (ergotropy) and entanglement under adaptive, delayed feedback control based on the Structured Energy Return (SER) hypothesis. The simulation uses the Lindblad master equation to model the system's evolution with varying coupling strengths and feedback parameters, including a realistic feedback delay. Findings suggest feedback enhances coherence and work extraction, sometimes independently of entanglement measures. An associated experimental proposal outlines potential validation using superconducting circuits. The python script used for numerical simulation is provided here as well as github.

Zenodo (CERN European Organization for Nuclear Research)
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Advanced Thermodynamics and Statistical Mechanics
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