Reinforcement learning stabilizes more than 4 dB of fixed-axis spin squeezing under continuous nonlinear Zeeman evolution in the f=21/2 manifold of 161Dy, yielding a single-atom sensitivity of 13.9 pT/sqrt(Hz) that is 3 dB beyond the standard quantum limit.
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Learning Unified Control of Intrinsic Nonlinear Spin Dynamics in Atomic Qudits for Magnetometry
Reinforcement learning stabilizes more than 4 dB of fixed-axis spin squeezing under continuous nonlinear Zeeman evolution in the f=21/2 manifold of 161Dy, yielding a single-atom sensitivity of 13.9 pT/sqrt(Hz) that is 3 dB beyond the standard quantum limit.