Machine learning assisted vector atomic magnetometry
Abstract Multiparameter sensing such as vector magnetometry often involves complex setups due to various external fields needed in explicitly connecting one measured signal to one parameter. Here, we propose a paradigm of indirect encoding for vector atomic magnetometry based on machine learning. We...
Main Authors: | Xin Meng, Youwei Zhang, Xichang Zhang, Shenchao Jin, Tingran Wang, Liang Jiang, Liantuan Xiao, Suotang Jia, Yanhong Xiao |
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Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2023-09-01
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Series: | Nature Communications |
Online Access: | https://doi.org/10.1038/s41467-023-41676-x |
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