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Related Experiment Video

Updated: May 31, 2026

High-Speed Magnetic Tweezers for Nanomechanical Measurements on Force-Sensitive Elements

High-Speed Magnetic Tweezers for Nanomechanical Measurements on Force-Sensitive Elements

Published on: May 12, 2023

Photonic-integrated quantum sensor array for microscale magnetic localisation.

Hao-Cheng Weng¹, John G Rarity², Krishna C Balram²

¹Quantum Engineering Technology Labs, H. H. Wills Physics Laboratory and Department of Electrical and Electronic Engineering, University of Bristol, Bristol, United Kingdom. haocheng.weng@bristol.ac.uk.

Nature Communications

|May 28, 2026

Summary

This summary is machine-generated.

This study integrates nitrogen-vacancy (NV) centers with photonic circuits for scalable quantum sensing. The developed system achieves high-fidelity magnetic localization of microscale objects, paving the way for advanced applications.

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Last Updated: May 31, 2026

High-Speed Magnetic Tweezers for Nanomechanical Measurements on Force-Sensitive Elements

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Published on: May 12, 2023

Frequency Mixing Magnetic Detection Scanner for Imaging Magnetic Particles in Planar Samples

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Spectral and Angle-Resolved Magneto-Optical Characterization of Photonic Nanostructures

Spectral and Angle-Resolved Magneto-Optical Characterization of Photonic Nanostructures

Published on: November 21, 2019

Area of Science:

Quantum Sensing
Nanophotonics
Materials Science

Background:

Nitrogen-vacancy (NV) centers are versatile solid-state quantum sensors.
Simultaneous use of multiple NV sensors enhances probing of complex fields and dynamics.
Current methods often lack scalability and simultaneous, distinct readout.

Purpose of the Study:

To develop a scalable architecture for multi-NV sensor operation.
To demonstrate high-fidelity microscale magnetic localization using NV-ensemble sensors.
To explore applications in dynamic tracking and magnetic field reconstruction.

Main Methods:

Integration of NV-ensembles with silicon-nitride photonic integrated circuits.
Development of a fiber-addressed, guided-wave, multi-channel architecture.
Utilizing machine learning for multi-point magnetic field reconstruction.
Simultaneous, distinct readout of eight localized NV-ensemble sensors.

Main Results:

Achieved scalable operation of eight localized NV-ensemble sensors in an array.
Demonstrated microscale magnetic localization of a 30 μm needle tip with sub-dimension error.
Successfully tracked the needle tip dynamically with high fidelity.
Quantified operating bounds for translation and rotation tracking via simulations.

Conclusions:

The developed fiber-addressed, multi-channel architecture enables scalable NV-based magnetic localization.
This approach offers a pathway towards magnetic sensing in optically inaccessible environments.
The system provides simultaneous, distinct readout for advanced spatiotemporal correlation studies.