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: 10.4121/451152e2-a4d4-4e42-96e0-4147afb1e45c

Herrmann, Yanik; Fischer , Julius; Scheijen, Stijn; Wolfs, Cornelis F. J.; Brevoord, Julia M. et. al. (2024): Data underlying the publication "A Low-Temperature Tunable Microcavity featuring High Passive Stability and Microwave Integration". Version 2. 4TU.ResearchData. dataset. https://doi.org/10.4121/451152e2-a4d4-4e42-96e0-4147afb1e45c.v2

Dataset

x choose version: version 1 - 2024-08-28

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

Diamond, Fiber-based Cavity, Nitrogen-Vacancy Center, Optical Cavity, Purcell Enhancement, Quantum Communication, Quantum Networks, Quantum Optics, Tin-Vacancy Center

2022 to 2024

CC BY 4.0

RefWorks, BibTeX, Reference Manager, Endnote, DataCite, NLM, DC, CFF

by Yanik Herrmann , Julius Fischer , Stijn Scheijen , Cornelis F. J. Wolfs , Julia M. Brevoord , Colin Sauerzapf , Leonardo G. C. Wienhoven , Laurens J. Feije , Martin Eschen , Maximilian Ruf , M. (Matthew) J. Weaver , R. (Ronald) Hanson

Data underlying the research article "A Low-Temperature Tunable Microcavity featuring High Passive Stability and Microwave Integration". In this physics paper, we present the design, operation and performance of a novel microcavity setup, which can be used to enhance the emission of quantum emitters incorporated into the cavity. We demonstrate a passive stability of a few tens of picometer combined with low temperatures, and show that Nitrogen- and Tin-Vacancy centers in diamond can be coupled to the cavity. The measurements are performed in a quantum optics laboratory.

The dataset contains the measured data and the python code to analyse and reproduce the figures shown in the text. The measurements are conducted with the Python 3 framework Quantum Measurement Interface (QMI) and data is collected with Python-based 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 files named processed dataset.

Please see the README.md file for instructions on how to analyse the data and reproduce the figures.

• 2024-08-28 first online

• 2024-12-19 published, posted

4TU.ResearchData

zipped python scripts and hdf5 datasets

A Low-Temperature Tunable Microcavity featuring High Passive Stability and Microwave Integration

• https://arxiv.org/abs/2409.01857
• https://pubs.aip.org/avs/aqs/article/6/4/041401/3325344/A-low-temperature-tunable-microcavity-featuring

• Spinoza prize 2019 (project number SPI 63-264) (grant code SPI 63-264) NWO
• QIA project (funded by European Union’s Horizon 2020, Grant Agreement No.820445)
• Early Research Programme of the Netherlands Organisation for Applied Scientific Research (TNO) Netherlands Organisation for Applied Scientific Research (TNO)

QuTech, Delft University of Technology
Kavli Institute of Nanoscience, Delft University of Technology