dc.contributor.author
Erdman, Paolo A.
dc.contributor.author
Rolandi, Alberto
dc.contributor.author
Abiuso, Paolo
dc.contributor.author
Perarnau-Llobet, Marti
dc.contributor.author
Noé, Frank
dc.date.accessioned
2023-06-08T07:36:19Z
dc.date.available
2023-06-08T07:36:19Z
dc.identifier.uri
https://refubium.fu-berlin.de/handle/fub188/39761
dc.identifier.uri
http://dx.doi.org/10.17169/refubium-39479
dc.description.abstract
The full optimization of a quantum heat engine requires operating at high power, high efficiency, and high stability (i.e., low power fluctuations). However, these three objectives cannot be simultaneously optimized—as indicated by the so-called thermodynamic uncertainty relations—and a systematic approach to finding optimal balances between them including power fluctuations has, as yet, been elusive. Here we propose such a general framework to identify Pareto-optimal cycles for driven quantum heat engines that trade off power, efficiency, and fluctuations. We then employ reinforcement learning to identify the Pareto front of a quantum dot-based engine and find abrupt changes in the form of optimal cycles when switching between optimizing two and three objectives. We further derive analytical results in the fast- and slow-driving regimes that accurately describe different regions of the Pareto front.
en
dc.format.extent
8 Seiten
dc.rights.uri
https://creativecommons.org/licenses/by/4.0/
dc.subject
Quantum protocols
en
dc.subject
Quantum stochastic processes
en
dc.subject
Quantum thermodynamics
en
dc.subject.ddc
500 Naturwissenschaften und Mathematik::530 Physik::530 Physik
dc.title
Pareto-optimal cycles for power, efficiency and fluctuations of quantum heat engines using reinforcement learning
dc.type
Wissenschaftlicher Artikel
dcterms.bibliographicCitation.articlenumber
L022017
dcterms.bibliographicCitation.doi
10.1103/PhysRevResearch.5.L022017
dcterms.bibliographicCitation.journaltitle
Physical Review Research
dcterms.bibliographicCitation.number
2
dcterms.bibliographicCitation.volume
5
dcterms.bibliographicCitation.url
https://doi.org/10.1103/PhysRevResearch.5.L022017
refubium.affiliation
Physik
refubium.resourceType.isindependentpub
no
dcterms.accessRights.openaire
open access
dcterms.isPartOf.eissn
2643-1564
refubium.resourceType.provider
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