TY - DATA T1 - Data underlying the publication "A Low-Temperature Tunable Microcavity featuring High Passive Stability and Microwave Integration" PY - 2024/08/28 AU - Yanik Herrmann AU - Julius Fischer AU - Stijn Scheijen AU - Cornelis F. J. Wolfs AU - Julia M. Brevoord AU - Colin Sauerzapf AU - Leonardo G. C. Wienhoven AU - Laurens J. Feije AU - Martin Eschen AU - Maximilian Ruf UR - DO - 10.4121/451152e2-a4d4-4e42-96e0-4147afb1e45c.v1 KW - Optical Cavity KW - Fiber-based Cavity KW - Purcell Enhancement KW - Quantum Communication KW - Quantum Networks KW - Quantum Optics KW - Tin-Vacancy Center KW - Nitrogen-Vacancy Center KW - Diamond N2 -
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.
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