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English(EN) From Single Spins to Ensembles: A Calibrated Symbolic Regression Pipeline for NV Spectroscopy

新管道改进了量子 NV 光谱学的表征

研究人员开发了一种新的符号回归管道,旨在改进量子物理学中氮-空位 (NV) 集成的表征。该管道通过生成个体光谱响应并将其与显式权重相结合,将 NV 集成的集体光谱与个体中心联系起来。该系统在公共数据集上实现了 56.2% 的归一化光致发光误差改进,并在受控模拟中证明了预测光谱的高准确性。 AI

影响 这项研究引入了一种新颖的计算管道,可以增强量子系统的分析,可能对未来的量子计算或传感应用产生影响。

排序理由 该集群包含一篇详细介绍量子物理学新方法的学术论文。[lever_c_demoted from research: ic=1 ai=0.4]

在 arXiv cs.AI 阅读 →

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新管道改进了量子 NV 光谱学的表征

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该集群包含一篇详细介绍量子物理学新方法的学术论文。[lever_c_demoted from research: ic=1 ai=0.4]
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报道来源 [1]

  1. arXiv cs.AI TIER_1 English(EN) · Evan Zhang, Zhenghang Zhi, Zewei Wang, Zeheng Wang ·

    从单次旋转到集成:NV光谱的校准符号回归管道

    arXiv:2610.35016v1 Announce Type: cross Abstract: Characterizing nitrogen-vacancy (NV) ensembles requires connecting their collective spectra to individual centers that experience different local environments. We develop a symbolic-regression pipeline that carries single-center s…