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Abstract Optimizing the performance of thermal machines is an essential task of thermodynamics. We here consider the optimization of information engines that convert information about the state of a system into work. We concretely introduce a generalized finite-time Carnot cycle for a quantum information engine and optimize its power output in the regime of low dissipation. We derive a general formula for its efficiency at maximum power valid for arbitrary working media.
Machine Learning: Texte vektorisieren und Stimmungen analysieren Tools auswählen Daten vorbereiten Vektorisierung als Basis für Vorhersagen Sentiments und Hyperparameter Weiterführende Analysen und Schlüsse ziehen Artikel in iX 8/2021 lesen Das Internet beherbergt zahllose Foren, in denen sich einzelne User heftige Schlagabtausche zu vermeintlich neutralen Themen liefern. Als Privatperson ignoriert man den Großteil dieser Kommentare, meist zu Recht.
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