English(EN) Learning unified control of intrinsic nonlinear spin dynamics in atomic qudits for magnetometry

AI学会提高原子磁测量灵敏度

作者 PulseAugur 编辑部 · [1 个来源] · 2026-10-31 04:00

研究人员开发了一种强化学习方法来控制原子量子比特中的内禀非线性自旋动力学以用于磁测量。该方法将可能降低测量精度的非线性塞曼效应转化为增强计量学的资源。学习到的策略能够快速制备压缩内禀态，并将磁场灵敏度提高到13.9 pT/sqrt(Hz)，约比标准量子极限高3 dB。 AI

影响展示了强化学习在量子计量学科学发现中的新应用。

排序理由学术论文，详细介绍了强化学习在量子物理学中的新应用。[lever_c_demoted from research: ic=1 ai=1.0]

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arXiv cs.AI TIER_1 English(EN) · C. Z. Cao, J. Z. Han, M. Xiong, M. Deng, L. Wang, Q. Liu, X. Lv, M. Xue · 2026-10-31 04:00

学习原子量子比特内禀非线性自旋动力学的统一控制以实现磁力测量

arXiv:2603.28421v3 Announce Type: replace-cross Abstract: Generating and preserving metrologically useful quantum states is a central challenge in quantum-enhanced metrology. In low-field atomic magnetometry with multilevel atoms, the nonlinear Zeeman (NLZ) effect is both a resou…