Automation of quantum dot measurement analysis via explainable machine learning
The rapid development of quantum dot (QD) devices for quantum computing has necessitated more efficient and automated methods for device characterization and tuning. Many of the measurements acquired during the tuning process come in the form of images that need to be properly analyzed to guide the...
| Autores principales: | , , , , , , , , |
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| Formato: | Artículo |
| Lenguaje: | English |
| Publicado: |
IOP Publishing
2025-01-01
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| Colección: | Machine Learning: Science and Technology |
| Materias: | |
| Acceso en línea: | https://doi.org/10.1088/2632-2153/ada087 |