Optimized observable readout from single-shot images of ultracold atoms via machine learning
Single-shot images are the standard readout of experiments with ultracold atoms, the imperfect reflection of their many-body physics. The efficient extraction of observables from single-shot images is thus crucial. Here we demonstrate how artificial neural networks can optimize this extraction. In c...
| Principais autores: | , , , , , , , , |
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| Formato: | Journal article |
| Idioma: | English |
| Publicado em: |
American Physical Society
2021
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