Data repository for: Dynamical polarization of the fermion parity in a nanowire Josephson junction

Data repository for Dynamical polarization of the fermion parity in a nanowire Josephson junction.<br><br>Josephson junctions in InAs nanowires proximitized with an Al shell can host gate-tunable Andreev bound states. Depending on the bound state occupation, the fermion parity of the junction can be even or odd. Coherent control of Andreev bound states has recently been achieved within each parity sector, but it is impeded by incoherent parity switches due to excess quasiparticles in the superconducting environment. Here, we show that we can polarize the fermion parity dynamically using microwave pulses by embedding the junction in a superconducting LC resonator. We demonstrate polarization up to 94% ± 1% (89% ± 1%) for the even (odd) parity as verified by single shot parity-readout. Finally, we apply this scheme to probe the flux-dependent transition spectrum of the even or odd parity sector selectively, without any post-processing or heralding. <br><br><br><br><br>README CONTENTS (also included in the .ZIP)---------------------------------------------------------------------------# Data repository for Dynamical polarization of the fermion parity in a nanowire Josephson junction.<br>Manuscript located at https://arxiv.org/abs/2112.01936 <br><br>Authors: J.J. Wesdorp, L. Grunhaupt, A. Vaartjes, M. Pita-Vidal, A. Bargerbos, L.J. Splitthoff, P. Krogstrup, B. van Heck and G. de Lange.<br><br><br>This is a self-contained repository with the code that analyses the raw data (exported to .nc format).<br>Required packages are:<br>* matplotlib<br>* xarray <br>* h5py<br>* h5netcdf <br>* lmfit <br>* scipy<br>* numpy<br>* jupyter-notebook<br>* cv2 (only for figure S6)<br>* jupyter_contrib_nbextensions (recommended to see the table of content per notebook)<br><br>*An environment.yaml file is provided for conda based installations. The exact versions are denoted there.*<br><br><br>Folder structure:<br>- data : All data files used to generate the figures in the paper. The data is stored in netcdf format with h5netcdf as engine for loading with xarray. <br> - data/raw is the unprocessed data extracted from the qcodes measurement databases and converted to xarray file format. <br> - data/processed is where intermediate analysis results are stored<br>- figures : All figures used in the manuscript. <br> - figures/.../img: The raw output (separate panels) of the figure generation code is stored in the img folder <br>- figure generation : All code to generate the figures in self-contained jupyter notebooks<br> - figure generation/lib: custom code used for analysis and plotting of the data<br>

纳米线约瑟夫森结（Josephson junction）费米子宇称（fermion parity）动态极化数据集仓库

沉积有铝（Al）壳层的砷化铟（InAs）纳米线约瑟夫森结，可承载栅极可调谐的安德列夫束缚态（Andreev bound states）。根据束缚态的占据情况，结的费米子宇称可分为偶宇称与奇宇称两类。此前研究已实现各宇称分支下安德列夫束缚态的相干调控，但超导环境中过量准粒子引发的非相干宇称跳变，会对该调控过程造成阻碍。本研究通过将约瑟夫森结嵌入超导LC谐振器（LC resonator），利用微波脉冲实现了费米子宇称的动态极化调控。通过单次宇称读取实验验证，偶（奇）宇称的极化率最高可达94%±1%（89%±1%）。最后，本研究无需任何后处理或预探测步骤，即可利用该方案选择性地探测偶/奇宇称分支的磁通依赖跃迁谱。

---
## README 目录（压缩包内同样包含该内容）
---------------------------------------------------------------------------
# 纳米线约瑟夫森结费米子宇称动态极化数据集仓库
相关论文可访问：https://arxiv.org/abs/2112.01936

作者：J.J. Wesdorp、L. Grunhaupt、A. Vaartjes、M. Pita-Vidal、A. Bargerbos、L.J. Splitthoff、P. Krogstrup、B. van Heck 与 G. de Lange

本仓库为独立完整的数据集仓库，包含用于分析原始数据（已导出为.nc格式）的代码。

所需依赖包如下：
* matplotlib
* xarray
* h5py
* h5netcdf
* lmfit
* scipy
* numpy
* jupyter-notebook
* cv2（仅用于生成图S6）
* jupyter_contrib_nbextensions（推荐安装，以便查看各Notebook的目录结构）

本仓库提供适用于Conda环境安装的environment.yaml配置文件，其中标注了所有依赖包的精确版本号。

仓库目录结构：
- data/：用于生成论文中所有图表的原始数据文件，数据以NetCDF格式存储，加载时需使用h5netcdf作为xarray的引擎
- data/raw/：从qcodes测量数据库中导出并转换为xarray格式的未处理原始数据
- data/processed/：存储中间分析结果的目录
- figures/：论文中使用的所有图表文件
- figures/[子目录]/img/：图表生成代码输出的原始拆分面板文件存储目录
- figure generation/：用于生成论文图表的所有代码，均封装为独立的Jupyter Notebook文件
- figure generation/lib/：用于数据处理与绘图的自定义代码库