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TT: Fachverband Tiefe Temperaturen

TT 24: Focus Session: Quantum Sensing with Solid State Spin defects I (joint session TT/MA)

TT 24.7: Talk

Tuesday, March 10, 2026, 12:30–12:45, HSZ/0003

Quantum sensing of a synthetic 3D spin texture — •R. J. Peña Román^1,2,3, S. Maity^1,2, F. Samad^4,5, S. Josephy⁶, A. Morales⁶, S. Chattopadhyay^1,3, A. Kákay⁴, K. Kern^2,7, O. Hellwig^4,5, and A. Singha^1,2,3 — ¹IFMP, Dresden University of Technology — ²Max Planck Institute for Solid State Research — ³Wurzburg-Dresden Cluster of Excellence (ct.qmat) — ⁴Institute of Ion Beam Physics and Material Research, Helmholtz-Zentrum Dresden-Rossendorf — ⁵Insititute of Physics, Chemnitz University of Technology — ⁶QZabre AG, Zurich — ⁷Institute de Physique, École Polytechnique Fédérale de Lausanne

Multilayered synthetic antiferromagnets (SAFs) are artificial three-dimensional (3D) architectures engineered to create novel, complex, and stable spin textures. Magnetic imaging of the spin texture is a crucial step for achieving tailored material performance and new functionalities. However, the deterministic detection of the magnetic textures and their quantitative characterization at the nanoscale remains challenging. Here, we use nitrogen-vacancy scanning probe microscopy under ambient conditions to perform quantitative vector-field magnetometry in a multilayered SAF. We demonstrate distinct fingerprints emerging from spin noise and constant stray fields, providing insights into the structure of domains and domain walls, as well as into magnetic noise associated with thermal spin waves. Combined with modern machine learning approaches, this work opens up new possibilities for quantitative magnetometry in materials with tailored and complex 3D spin textures.

Keywords: Scanning NV magnetometry; Synthetic Antiferromagnets; Domain Walls; Magnetic noise