TY - JOUR
T1 - Nanoscale covariance magnetometry with diamond quantum sensors
AU - Rovny, Jared
AU - Yuan, Zhiyang
AU - Fitzpatrick, Mattias
AU - Abdalla, Ahmed I.
AU - Futamura, Laura
AU - Fox, Carter
AU - Cambria, Matthew Carl
AU - Kolkowitz, Shimon
AU - de Leon, Nathalie P.
N1 - Publisher Copyright:
© 2022 American Association for the Advancement of Science. All rights reserved.
PY - 2022/12/23
Y1 - 2022/12/23
N2 - Nitrogen vacancy (NV) centers in diamond are atom-scale defects that can be used to sense magnetic fields with high sensitivity and spatial resolution. Typically, the magnetic field is measured by averaging sequential measurements of single NV centers, or by spatial averaging over ensembles of many NV centers, which provides mean values that contain no nonlocal information about the relationship between two points separated in space or time. Here, we propose and implement a sensing modality whereby two or more NV centers are measured simultaneously, and we extract temporal and spatial correlations in their signals that would otherwise be inaccessible. We demonstrate measurements of correlated applied noise using spin-to-charge readout of two NV centers and implement a spectral reconstruction protocol for disentangling local and nonlocal noise sources.
AB - Nitrogen vacancy (NV) centers in diamond are atom-scale defects that can be used to sense magnetic fields with high sensitivity and spatial resolution. Typically, the magnetic field is measured by averaging sequential measurements of single NV centers, or by spatial averaging over ensembles of many NV centers, which provides mean values that contain no nonlocal information about the relationship between two points separated in space or time. Here, we propose and implement a sensing modality whereby two or more NV centers are measured simultaneously, and we extract temporal and spatial correlations in their signals that would otherwise be inaccessible. We demonstrate measurements of correlated applied noise using spin-to-charge readout of two NV centers and implement a spectral reconstruction protocol for disentangling local and nonlocal noise sources.
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U2 - 10.1126/science.ade9858
DO - 10.1126/science.ade9858
M3 - Article
C2 - 36548408
AN - SCOPUS:85144515486
SN - 0036-8075
VL - 378
SP - 1301
EP - 1305
JO - Science
JF - Science
IS - 6626
ER -