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Machine Learning for Quantum Metrology

Phase estimation represents a significant example to test the application of quantum theory for enhanced measurements of unknown physical parameters. Several recipes have been developed, allowing to define strategies to reach the ultimate bounds in the asymptotic limit of a large number of trials. H...

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Bibliografiske detaljer
Principais autores: Nicolò Spagnolo, Alessandro Lumino, Emanuele Polino, Adil S. Rab, Nathan Wiebe, Fabio Sciarrino
Format: Artigo
Sprog:Inglês
Udgivet: MDPI AG 2019-08-01
Serier:Proceedings
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Online adgang:https://www.mdpi.com/2504-3900/12/1/28
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