Photonic-integrated quantum sensor array for microscale magnetic localisation
Hao-Cheng Weng, John G. Rarity, Krishna C. Balram, Joe A. Smith

TL;DR
This paper presents a scalable photonic-integrated quantum sensor array using NV centers for microscale magnetic localization, demonstrating high-precision tracking and potential biomedical applications.
Contribution
The work integrates multiple NV quantum sensors on silicon-nitride photonic circuits, enabling simultaneous readout and magnetic localization with high accuracy.
Findings
Successfully localized a 30 μm needle tip with sub-dimension error
Demonstrated dynamic tracking of magnetic objects with high fidelity
Simulated monitoring of magnetic microrobots for biomedical use
Abstract
Nitrogen-vacancy centres (NVs) are promising solid-state nanoscale quantum sensors for applications ranging from material science to biotechnology. Using multiple sensors simultaneously offers advantages for probing spatiotemporal correlations of fluctuating fields or the dynamics of point defects. In this work, by integrating NVs with foundry silicon-nitride photonic integrated circuits, we realise the scalable operation of eight localised NV sensors in an array, with simultaneous, distinct readout of the individual sensors. Using the eight NV sensors and machine-learning methods for multi-point magnetic field reconstruction, we demonstrate microscale magnetic localisation of a 30 m-sized needle tip. Experimentally, the needle tip can be localised with an error below its dimension and tracked dynamically with high fidelity. We further simulate the feasibility of our platform for…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsMechanical and Optical Resonators · Characterization and Applications of Magnetic Nanoparticles · Micro and Nano Robotics
