Engineering and Technology
Quantum force sensing by digital twinning of atomic Bose-Einstein condensates
T. Huang, Z. Yu, et al.
This research proposes a groundbreaking data-driven approach utilizing machine learning to enhance the sensitivity of weak-signal detection in atomic force sensors. Conducted by Tangyou Huang, Zhongcheng Yu, Zhongyi Ni, Xiaoji Zhou, and Xiaopeng Li, the method introduces a digital twin combined with anomaly detection, achieving unmatched sensitivity without prior system knowledge.
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