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Optimized observable readout from single-shot images of ultracold atoms via machine learning

Abstract:

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 contrast to standard averaging approaches, machine learning allows both one- and two-particle densities to be accurately obtained from a drastically reduced number of single-shot images. Quantum flu...

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Publication status:
Published
Peer review status:
Peer reviewed

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Files:
Publisher copy:
10.1103/PhysRevA.104.L041301

Authors


Publisher:
American Physical Society Publisher's website
Journal:
Physical Review A Journal website
Volume:
104
Issue:
4
Article number:
L041301
Publication date:
2021-10-08
Acceptance date:
2021-09-08
DOI:
EISSN:
2469-9934
ISSN:
2469-9926
Language:
English
Keywords:
Pubs id:
1206150
Local pid:
pubs:1206150
Deposit date:
2021-11-25

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