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Entanglement engineering of optomechanical systems by reinforcement learning

Entanglement is fundamental to quantum information science and technology, yet controlling and manipulating entanglement—so-called entanglement engineering—for arbitrary quantum systems remains a formidable challenge. There are two difficulties: the fragility of quantum entanglement and its experime...

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Bibliografische gegevens
Hoofdauteurs: Li-Li Ye, Christian Arenz, Joseph M. Lukens, Ying-Cheng Lai
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: AIP Publishing LLC 2025-03-01
Reeks:APL Machine Learning
Online toegang:http://dx.doi.org/10.1063/5.0233470
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