The DOI displayed 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/a8e32e27-5a91-4a4a-abfc-e5bd884317ae

Herrmann, Yanik; Brevoord, Julia M.; Fischer , Julius; Scheijen, Stijn; Sauerzapf, Colin et. al. (2025): Data and software underlying the publication "Laser-cut Patterned, Micrometer-thin Diamond Membranes with Coherent Color Centers for Open Microcavities". Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/a8e32e27-5a91-4a4a-abfc-e5bd884317ae.v1

Categories

• Condensed Matter Physics
• Optical Physics
• Quantum Physics
• Physical Sciences

Keywords

Diamond Fiber-based Cavity Laser-cutting Nanofabrication Nitrogen-Vacancy Center Optical Cavity Quantum Networks Quantum Optics Scanning Cavity Microscopy Tin-Vacancy Center

Time coverage

2022 to 2025

Licence

CC BY 4.0

Interoperability

• IIIF Manifest
• RO-Crate Metadata

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by Yanik Herrmann , Julia M. Brevoord , Julius Fischer , Stijn Scheijen , Colin Sauerzapf , Nina Codreanu , Leonardo G. C. Wienhoven , Yuran M. Q. van der Graaf , Cornelis F. J. Wolfs , Régis Méjard , Maximilian Ruf , Nick de Jong , Ronald Hanson

The data and software underlying the research article "Laser-cut Patterned, Micrometer-thin Diamond Membranes with Coherent Color Centers for Open Microcavities". In this physics paper, we present a new method to pattern diamond microdevices utilizing laser cutting, followed by reactive ion etching to thin them down. We compare this fabrication method to an established method using e-beam lithography and a silicon nitride hard mask. Devices obtained from both fabrication methods are characterized by scanning cavity microscopy, showing that high cavity finesse can be reached. In addition, we perform low-temperature spectroscopy to show that the devices contain optically coherent Tin- and Nitrogen-Vacancy centers. The measurements are performed in quantum optics laboratories.

The dataset contains the measured data and the Python code to analyse and reproduce the figures shown in the paper. Most measurements are conducted with the Python 3 framework Quantum Measurement Infrastructure (QMI) and the data acquisition framework Quantify. The measured data is stored in individual HDF5 files, with a unique timestamp and identifier. Analysed data is stored in HDF5 and JSON files named processed dataset or quantities of interest. The white light interferometer data is stored in text files.

Please see the README.md file for instructions on how to run the Python code to reproduce the figures.

History

• 2025-06-27 first online, published, posted

Publisher

4TU.ResearchData

Format

zipped python scripts and hdf5, json and txt datasets

References

• https://doi.org/10.48550/arXiv.2506.20713

Funding

• Spinoza prize 2019 (project number SPI 63-264) (grant code SPI 63-264) NWO
• Quantum Delta NL Dutch Ministry of Economic Affairs and Climate Policy (EZK)
• Joint research program "Modular quantum computers" by Fujitsu Limited and Delft University of Technology
• Early Research Programme of the Netherlands Organisation for Applied Scientific Research (TNO) Netherlands Organisation for Applied Scientific Research (TNO)
• Top Sector High Tech Systems and Materials

Organizations

QuTech and Kavli Institute of Nanoscience, Delft University of Technology;
Netherlands Organisation for Applied Scientific Research (TNO)