Dynamic compensation of stray electric fields in an ion trap using machine learning and adaptive algorithm
Abstract 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 implementat...
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2022-04-01
|
| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-022-11142-7 |