通过自适应测量改进基于自旋的噪声感测
Improving spin-based noise sensing by adaptive measurements
摘要：
固体中的局域自旋作为具有纳米空间分辨率的高灵敏度量子传感器和迷人的应用正引起广泛的关注。最近，自适应测量被用来提高动态范围的自旋为基础的传感确定性哈密顿参数。在这里，我们探索一个非常不同的方向-基于自旋的随机噪声自适应传感。首先，我们确定的区别特征相比，确定性磁场的估计，如不同的依赖于自旋退相干，不同的最佳测量方案，模2π相位模糊的情况下，和自适应测量的关键作用的磁噪声的传感。其次，我们进行数值模拟，证明显着的速度加快的自旋退相干时间的表征，通过自适应测量。这为自适应噪声检测和相干性保护铺平了道路。
英文摘要：
Localized spins in the solid state are attracting widespread attention as highly sensitive quantum sensors with nanoscale spatial resolution and fascinating applications. Recently, adaptive measurements were used to improve the dynamic range for spin-based sensing of deterministic Hamiltonian parameters. Here we explore a very different direction -- spin-based adaptive sensing of random noises. First, we identify distinguishing features for the sensing of magnetic noises compared with the estimation of deterministic magnetic fields, such as the different dependences on the spin decoherence, the different optimal measurement schemes, the absence of the modulo-2πphase ambiguity, and the crucial role of adaptive measurement. Second, we perform numerical simulations that demonstrate significant speed up of the characterization of the spin decoherence time via adaptive measurements. This paves the way towards adaptive noise sensing and coherence protection.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
