Landau–Zener Transition Enhanced Quantum Sensing in Spin Defects of Hexagonal Boron Nitride
Negatively charged boron vacancies (V B – ) in hexagonal boron nitride (hBN) comprise a promising quantum sensing platform, optically addressable at room temperature and transferable onto samples. However, broad hyperfine-split spin transitions of the ensemble pose challenges for quantum sensing with conventional resonant excitation due to limited spectral coverage. While V B – in isotopically enriched hBN using 10 B and 15 N isotopes (h 10 B 15 N) exhibits sharper spectral features, significant inhomogeneous broadening persists. We demonstrate that, implemented via frequency modulation on an FPGA, a frequency-ramped microwave pulse achieves around 4-fold greater |0⟩→|−1⟩ spin-state population transfer and thus contrast than resonant microwave excitation and thus 16-fold shorter measurement time for spin relaxation-based quantum sensing. Quantum dynamics simulations reveal that an effective two-state Landau–Zener model captures the complex relationship between population inversion and pulse length with relaxations incorporated. Our approach is robust and valuable for quantum relaxometry with spin defects in hBN, especially in noisy environments.
Authors
- James H. Edgar (ORCID: https://orcid.org/0000-0003-0918-5964)
- Peter Bermel (ORCID: https://orcid.org/0000-0001-7140-0667)
- Yong P. Chen (ORCID: https://orcid.org/0000-0002-7356-4179)
- Andrew Mounce (ORCID: https://orcid.org/0000-0002-8115-2764)
- Luca Basso (ORCID: https://orcid.org/0000-0002-7941-9976)
- Jacob Henshaw (ORCID: https://orcid.org/0000-0002-3586-2554)
- Mohammad A. Sadi
- Tiamike Dudley (ORCID: https://orcid.org/0009-0003-9502-4098)
- Thomas Poirier (ORCID: https://orcid.org/0009-0003-5258-9160)
Institutions
- University of New Mexico (US)
- Kansas State University (US)
- Tohoku University (JP)
- Aarhus University (DK)
- Purdue University West Lafayette (US)
- Abilities In Motion (US)
- Sandia National Laboratories (US)
- Quantum Devices (United States) (US)
- Center for Integrated Nanotechnologies (US)
Publication Details
- Journal
- ACS Nano
- Published
- 2026-06-16
- DOI
- https://doi.org/10.1021/acsnano.6c03144
- Primary Topic
- Graphene research and applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Science Foundation
- Advanced Scientific Computing Research
- Sandia National Laboratories