Flexible learning of quantum states with generative query neural networks

Deep neural networks are a powerful tool for characterizing quantum states. Existing networks are typically trained with experimental data gathered from the quantum state that needs to be characterized. But is it possible to train a neural network offline, on a different set of states? Here we intro...

Descripción completa

Detalles Bibliográficos
Autores principales: Zhu, Yan, Wu, Ya-Dong, Bai, Ge, Wang, Dong-Sheng, Wang, Yuexuan, Chiribella, Giulio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9584912/
https://www.ncbi.nlm.nih.gov/pubmed/36266334
http://dx.doi.org/10.1038/s41467-022-33928-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9584912/
https://www.ncbi.nlm.nih.gov/pubmed/36266334
http://dx.doi.org/10.1038/s41467-022-33928-z

Ejemplares similares