发表机构
University of Melbourne; RMIT University（墨尔本大学; 皇家墨尔本理工大学）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
本研究提出一种利用系综相干性从动力学解耦测量中提取真实噪声谱的分析方法，通过考虑耦合分布实现精确参数提取，并在金刚石氮-空位中心系综上验证，为大型量子系综的定量宽带噪声谱分析铺平道路。
AI 中文摘要
基于量子传感器的噪声谱分析是表征传感器环境特性以及探测关键磁性现象的有力工具。虽然用大型系综替代单个传感器有望大幅提升测量灵敏度和视场，但当传感系综中与目标的耦合存在变化时，输出将变得难以解读。在本工作中，我们提出了一种分析流程，利用动力学解耦测量中的系综相干性来获取真实的源噪声谱。我们展示了序列时序在系综噪声谱分析中扮演双重角色，既设定频率选择性，又设定跨系综信号的加权收集，并演示了如何通过纳入耦合分布来实现噪声参数的精确提取。我们将该流程应用于一个模型系统，即金刚石中的浅层氮-空位中心，并表明从两个具有不同深度分布的传感系综中可以获得关于兆赫兹范围表面噪声谱特性的一致信息。我们的结果为利用大型量子传感器系综进行定量、宽带噪声谱分析铺平了道路，并可轻松扩展到其他固态和分子传感平台。
英文摘要
Noise spectroscopy with quantum sensors is a powerful tool for characterising the properties of the sensor environment and detecting critical magnetic phenomena. While replacing single sensors with large ensembles promises substantial gains in measurement sensitivity and field of view, the output becomes difficult to interpret when there is a variable coupling to targets across the sensing ensemble. In this work we present an analysis procedure for accessing the true source noise spectrum using ensemble coherence from dynamical decoupling measurements. We show that sequence timing plays a dual role in ensemble noise spectroscopy, setting both the frequency selectivity and the weighted collection of signal across the ensemble, and demonstrate how incorporation of the coupling distribution allows accurate parameter extraction of the noise. We apply this procedure to a model system, shallow nitrogen-vacancy centres in diamond, and show that consistent information about the spectral character of MHz-range surface noise can be obtained from two sensing ensembles featuring distinct depth distributions. Our results pave the way for using large quantum sensor ensembles for quantitative, broadband noise spectroscopy, with straightforward extension to other solid-state and molecular sensing platforms.
Comments8 pages main + 15 pages supplementary
