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Trapped Ion Quantum Computing

Widefield Quantum Sensor for Vector Magnetic Field Imaging of Micromagnetic Structures

arXiv
Authors: Orlando D. Cunha, Filipe Camarneiro, João P. Silva, Hariharan Nhalil, Ariel Zaig, Lior Klein, Jana B. Nieder

Year

2025

Paper ID

16260

Status

Preprint

Abstract Read

~2 min

Abstract Words

188

Citations

N/A

Abstract

Many spintronic, magnetic-memory, and neuromorphic devices rely on spatially varying magnetic fields. Quantitatively imaging these fields with full vector information over extended areas remains a major challenge. Existing probes either offer nanoscale resolution at the cost of slow scanning, or widefield imaging with limited vector sensitivity or material constraints. Quantum sensing with nitrogen-vacancy (NV) centers in diamond promises to bridge this gap, but a practical camera-based vector magnetometry implementation on relevant microstructures has not been demonstrated. Here we adapt a commercial widefield microscope to implement a camera-compatible pulsed optically detected magnetic resonance protocol to reconstruct stray-field vectors from microscale devices. By resolving the Zeeman shifts of the four NV orientations, we reconstruct the stray-field vector generated by microfabricated permalloy structures that host multiple stable remanent states. Our implementation achieves a spatial resolution of approx 0.52 μm across an 83 μm times 83 μm field of view and a peak sensitivity of \(828 pm 142\) mathrm{nT Hz-1}, with acquisition times of only a few minutes. These results establish pulsed widefield NV magnetometry on standard microscopes as a practical and scalable tool for routine vector-resolved imaging of complex magnetic devices.

Why This Paper Matters

  • This paper contributes to the Trapped-Ion Quantum Computing research area in the Quantum Articles archive.
  • It adds a 2025 reference point for readers tracking recent quantum research.
  • Many spintronic, magnetic-memory, and neuromorphic devices rely on spatially varying magnetic fields.

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