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Realizing a deep reinforcement learning agent for real-time quantum feedback

Abstract Realizing the full potential of quantum technologies requires precise real-time control on time scales much shorter than the coherence time. Model-free reinforcement learning promises to discover efficient feedback strategies from scratch without relying on a description of the quantum syst...

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Bibliografske podrobnosti
Principais autores: Kevin Reuer, Jonas Landgraf, Thomas Fösel, James O’Sullivan, Liberto Beltrán, Abdulkadir Akin, Graham J. Norris, Ants Remm, Michael Kerschbaum, Jean-Claude Besse, Florian Marquardt, Andreas Wallraff, Christopher Eichler
Format: Artigo
Jezik:Inglês
Izdano: Nature Portfolio 2023-11-01
Serija:Nature Communications
Online dostop:https://doi.org/10.1038/s41467-023-42901-3
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