Data underlying the dissertation "Quantum sensing in diamond and silicon carbide: mapping spins and taming charges"

doi:10.4121/2a2909d8-46c7-454a-b0fe-c56a41f01832.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: 10.4121/2a2909d8-46c7-454a-b0fe-c56a41f01832
Datacite citation style:
van de Stolpe, Guido (2024): Data underlying the dissertation "Quantum sensing in diamond and silicon carbide: mapping spins and taming charges". Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/2a2909d8-46c7-454a-b0fe-c56a41f01832.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset

Solid-state defects in diamond and silicon carbide have emerged as a promising platform for exploring various quantum technologies, such as distributed quantum computing, quantum simulations of many-body physics, and nano-scale nuclear magnetic resonance. The noise environment surrounding such defects, consisting of magnetic and electrical impurities, directly impacts the spin and optical coherence, posing a key challenge for advancing quantum technologies. Systematic study of these spins and charges is crucial for mitigating their noise contribution. In some cases, establishing control over the environment can even convert it into a resource, to be used for storing, or processing (quantum) information. In this thesis, we develop experimental and analytical tools that enable a more detailed study of the defect spin and charge environment, and can be exploited to manipulate its microscopic configuration. 


Data for Chapter 2 is available in JSON format here.

Data for Chapter 3 and Appendix A is available at: https://doi.org/10.4121/9d3f41e9-ddcd-4153-8508-2a9a9d5ea654

Data for Chapter 4 and Appendix B is available at: https://doi.org/10.4121/643ed69d-ced0-4d45-86b3-534a5b79c605

Data for Chapter 5 and Appendix C is available at: https://doi.org/10.4121/aba1cc84-0aea-4cdc-93ca-68b0db38bd81

history
  • 2024-10-29 first online, published, posted
publisher
4TU.ResearchData
format
zipped datasets (JSON) and jupyter notebooks
organizations
QuTech and Kavli Institute of Nanoscience, Delft University of Technology

DATA

files (5)