Continuous-variable Quantum Phase Estimation based on Machine Learning

Making use of the general physical model of the Mach-Zehnder interferometer with photon loss which is a fundamental physical issue, we investigate the continuous-variable quantum phase estimation based on machine learning approach, and an efficient recursive Bayesian estimation algorithm for Gaussia...

Descripción completa

Detalles Bibliográficos
Autores principales: Xiao, Tailong, Huang, Jingzheng, Fan, Jianping, Zeng, Guihua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6711976/
https://www.ncbi.nlm.nih.gov/pubmed/31455791
http://dx.doi.org/10.1038/s41598-019-48551-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6711976/
https://www.ncbi.nlm.nih.gov/pubmed/31455791
http://dx.doi.org/10.1038/s41598-019-48551-0

Ejemplares similares