The invention belongs to the field of
quantum precision measurement, and discloses a
quantum system low-intensity
magnetic field measurement method based on a CTK-Net
hybrid architecture, and the method comprises the steps: building a low-intensity
magnetic field ODMR data collection device, collecting an ODMR
spectral line sequence, constructing a
deep learning database, adding
noise to the collected sequence data, and comparing the
network performance. Finally, the model with the most stable performance and parameters thereof are stored; and finally, acquiring an ODMR
spectral line sequence on an unknown soft magnetic material by using
a diamond NV color center sensor after
crystal axis orientation, and monitoring the size of a
magnetic field in real time through a
deep learning server. According to the method, global and local features can be captured at the same time, limitation of other models is overcome, excellent application potential is shown in the aspect of magnetic field prediction imaging, a brand new technical path is provided for the field of weak magnetic detection and imaging, and the method is worthy of popularization and application. The method has wide application prospects in multiple fields of
chip flaw detection,
magnetic flux leakage detection, geomagnetic measurement, brain magnetic detection and the like.