Machine Learning for Quantum Metrology

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...

Full description

Bibliographic Details
Main Authors: Nicolò Spagnolo, Alessandro Lumino, Emanuele Polino, Adil S. Rab, Nathan Wiebe, Fabio Sciarrino
Format: Article
Language:English
Published: MDPI AG 2019-08-01
Series:Proceedings
Subjects:
quantum metrology
machine learning
phase estimation
adaptive protocols
Online Access:https://www.mdpi.com/2504-3900/12/1/28

Internet

https://www.mdpi.com/2504-3900/12/1/28

Similar Items