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使用机器学习增强的纳米金刚石量子传感器进行精确磁场成像。

Accurate magnetic field imaging using nanodiamond quantum sensors enhanced by machine learning.

机构信息

Department of Physics, The University of Tokyo, Bunkyo-ku, Tokyo, 113-0033, Japan.

Institute for Physics of Intelligence, The University of Tokyo, Bunkyo-ku, Tokyo, 113-0033, Japan.

出版信息

Sci Rep. 2022 Sep 1;12(1):13942. doi: 10.1038/s41598-022-18115-w.

Abstract

Nanodiamonds can be excellent quantum sensors for local magnetic field measurements. We demonstrate magnetic field imaging with high accuracy of 1.8 [Formula: see text]T combining nanodiamond ensemble (NDE) and machine learning without any physical models. We discover the dependence of the NDE signal on the field direction, suggesting the application of NDE for vector magnetometry and the improvement of the existing model. Our method enhances the NDE performance sufficiently to visualize nano-magnetism and mesoscopic current and expands the applicability of NDE in arbitrarily shaped materials, including living organisms. This accomplishment bridges machine learning to quantum sensing for accurate measurements.

摘要

纳米金刚石可用作局部磁场测量的优异量子传感器。我们通过纳米金刚石集合体(NDE)和机器学习的结合,实现了无需任何物理模型即可进行高精度磁场成像,精度达到 1.8 [Formula: see text]T。我们发现 NDE 信号与磁场方向有关,这表明 NDE 可用于向量磁力计并改进现有模型。我们的方法极大地提高了 NDE 的性能,足以可视化纳米磁体和介观电流,并扩大了 NDE 在包括生物体在内的任意形状材料中的适用性。这一成就将机器学习与量子传感联系起来,实现了精确的测量。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1c34/9436989/341337a61aee/41598_2022_18115_Fig1_HTML.jpg

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