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Enhanced Widefield Quantum Sensing with Nitrogen-Vacancy Ensembles Using Diamond Nanopillar Arrays
Daniel J McCloskey1, Nikolai Dontschuk1,2, David A Broadway1,2
1School of Physics, University of Melbourne, Parkville, Victoria 3010, Australia.
ACS Applied Materials & Interfaces
|February 27, 2020
Summary
Researchers developed a scalable method to create diamond nanopillars with bright nitrogen-vacancy centers. This technique significantly boosts sensitivity for optical measurements and allows for detailed stress imaging in nanostructures.
Area of Science:
- Materials Science
- Quantum Optics
- Nanotechnology
Background:
- Surface structuring enhances optical interfaces for single emitters in diamond.
- The application of surface structuring to ensembles of emitters is less explored.
Purpose of the Study:
- To demonstrate scalable fabrication of diamond nanopillars with dense, bright ensembles of near-surface nitrogen-vacancy centers.
- To investigate the impact of nanopillar size on spin and photoluminescence properties.
- To assess the utility of these structures for multimodal and vector-resolved imaging.
Main Methods:
- Fabrication of closely packed arrays of fluorescent diamond nanopillars using scalable and fault-tolerant techniques.
- Characterization of spin and photoluminescence properties of nitrogen-vacancy centers within the nanopillars.
- Imaging of the mechanical stress tensor in individual diamond pillars using enhanced sensitivity.
Main Results:
- Achieved dense, uniformly bright ensembles of near-surface nitrogen-vacancy centers in diamond nanopillars.
- Realized enhanced spin and photoluminescence properties, leading to a 4.5x increase in optically detected magnetic resonance sensitivity.
- Demonstrated negligible impact of fabrication on in-built stress within the nanopillars compared to unpatterned surfaces.
Conclusions:
- Scalable fabrication of diamond nanopillars with NV ensembles offers enhanced optical and spin properties.
- The technique provides a valuable platform for sensitive imaging applications, including multimodal and vector-resolved studies.
- This approach is promising for future applications in biological sensing and quantum information processing.

