Data underlying the publication "A Low-Temperature Tunable Microcavity featuring High Passive Stability and Microwave Integration"
收藏4TU.ResearchData2024-12-19 更新2026-04-23 收录
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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.
本研究论文《具备高无源稳定性与微波集成特性的低温可调谐微腔》(A Low-Temperature Tunable Microcavity featuring High Passive Stability and Microwave Integration)所依托的数据集。在这篇物理学论文中,我们报道了一款新型微腔装置的设计方案、工作原理与性能表现,该装置可用于增强集成于腔体内的量子发射体的辐射输出。我们验证了该装置在低温环境下可保持数十皮米级的无源稳定性,并证实金刚石中的氮空位(Nitrogen-Vacancy, NV)中心与锡空位(Tin-Vacancy, SnV)中心可与该微腔实现耦合。相关实验测量均在量子光学实验室中完成。本数据集包含实验实测数据与用于分析并复现论文中图表的Python代码。实验测量基于Python 3框架下的量子测量接口(Quantum Measurement Interface, QMI)开展,数据采集则通过基于Python的Quantify数据采集框架完成。实测数据以独立的HDF5文件存储,每个文件均附带唯一的时间戳与标识符。经分析处理后的数据集以名为processed dataset的HDF5文件进行存储。有关数据处理与图表复现的操作指南,请参阅项目内的README.md文件。
创建时间:
2024-12-19



