Floquet engineering of quantum thermal machines: A gradient-based spectral method to optimize their performance

Fuente: arXiv
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Autor principal: Castro, Alberto
Formato: Preprint
Publicado: 2024
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author Castro, Alberto
author_facet Castro, Alberto
contents A procedure to find optimal regimes for quantum thermal engines (QTMs) is described and demonstrated. The QTMs are modelled as the periodically-driven non-equilibrium steady states of open quantum systems, whose dynamics is approximated in this work with Markovian master equations. The action of the external agent, and the couplings to the heat reservoirs can be modulated with control functions, and it is the time-dependent shape of these control functions the object of optimisation. Those functions can be freely parameterised, which permits to constrain the solutions according to experimental or physical requirements.
format Preprint
id arxiv_https___arxiv_org_abs_2405_09126
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Floquet engineering of quantum thermal machines: A gradient-based spectral method to optimize their performance
Castro, Alberto
Quantum Physics
Statistical Mechanics
Computational Physics
A procedure to find optimal regimes for quantum thermal engines (QTMs) is described and demonstrated. The QTMs are modelled as the periodically-driven non-equilibrium steady states of open quantum systems, whose dynamics is approximated in this work with Markovian master equations. The action of the external agent, and the couplings to the heat reservoirs can be modulated with control functions, and it is the time-dependent shape of these control functions the object of optimisation. Those functions can be freely parameterised, which permits to constrain the solutions according to experimental or physical requirements.
title Floquet engineering of quantum thermal machines: A gradient-based spectral method to optimize their performance
topic Quantum Physics
Statistical Mechanics
Computational Physics
url https://arxiv.org/abs/2405.09126