Published October 17, 2023 | Version v1
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Data and code for "Robust poor man's Majorana zero modes using Yu-Shiba-Rusinov states"

Authors/Creators

Description

This folder contains the raw data and code used to generate the plots for the paper Robust poor man's Majorana zero modes using Yu-Shiba-Rusinov states.

To run the Jupyter notebook, install Anaconda and execute:

conda env create -f env.yml 

followed by:

conda activate robust-pmm

Finally,

jupyter lab

to launch the notebook.

Raw data are stored in netCDF (.nc) format. The experimental datasets are exported by the data acquisition package QCoDeS and can be read as an xarray Dataset. Both the experimental and the numerical datasets were saved as netCDF files using xarray built-in function.

Files

robust-pmm-data.zip

Files (233.6 MB)

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