Data underlying the publication "Check-probe spectroscopy of lifetime-limited emitters in bulk-grown silicon carbide"

doi:10.4121/9d3f41e9-ddcd-4153-8508-2a9a9d5ea654.v1
The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/9d3f41e9-ddcd-4153-8508-2a9a9d5ea654
Datacite citation style:
van de Stolpe, G.L.; Feije, Laurens J.; Loenen, Sjoerd; Antariksha Das; Timmer, Gerben et. al. (2024): Data underlying the publication "Check-probe spectroscopy of lifetime-limited emitters in bulk-grown silicon carbide". Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/9d3f41e9-ddcd-4153-8508-2a9a9d5ea654.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset

Solid-state single-photon emitters provide a versatile platform for exploring quantum technologies such as optically connected quantum networks. A key challenge is to ensure optical coherence and spectral stability of the emitters. Here, we introduce a high-bandwidth `check-probe' scheme to quantitatively measure (laser-induced) spectral diffusion and ionisation rates, as well as homogeneous linewidths. We demonstrate these methods on single V2 centers in commercially available bulk-grown 4H-silicon carbide. Despite observing significant spectral diffusion under laser illumination (≳GHz/s), the optical transitions are narrow (∼35 MHz), and remain stable in the dark (≳1 s). Through Landau-Zener-Stückelberg interferometry, we determine the optical coherence to be near-lifetime limited (T2 = 16.4(4) ns), hinting at the potential for using bulk-grown materials for developing quantum technologies. These results advance our understanding of spectral diffusion of quantum emitters in semiconductor materials, and may have applications for studying charge dynamics across other platforms.


This server contains the data and jupyter notebooks to reproduce the figures (see README file for instructions). Execute the notebook files (.ipynb extension) via an iPython environment. These will load the data from the .json data files to recreate the figures.

history
  • 2024-10-29 first online, published, posted
publisher
4TU.ResearchData
format
ipython notebook files (.ipynb) to create the figures, JSON files containing the data (.json)
organizations
QuTech and Kavli Institute of Nanoscience, Delft University of Technology

DATA

files (36)