Dynamic compensation of stray electric fields in an ion trap using machine learning and adaptive algorithm

Surface ion traps are among the most promising technologies for scaling up quantum computing machines, but their complicated multi-electrode geometry can make some tasks, including compensation for stray electric fields, challenging both at the level of modeling and of practical implementation. Here...

Descripción completa

Detalles Bibliográficos
Autores principales: Ghadimi, Moji, Zappacosta, Alexander, Scarabel, Jordan, Shimizu, Kenji, Streed, Erik W., Lobino, Mirko
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/PMC9054784/
https://www.ncbi.nlm.nih.gov/pubmed/35487938
http://dx.doi.org/10.1038/s41598-022-11142-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9054784/
https://www.ncbi.nlm.nih.gov/pubmed/35487938
http://dx.doi.org/10.1038/s41598-022-11142-7

Ejemplares similares