Data and Code for "Observation of edge and bulk states in a three-site Kitaev chain"

This folder contains the raw data and code used to generate the plots for the manuscript Observation of edge and bulk states in a three site Kitaev chain.

Three jupyer notebooks are included for outputting the data.

To run the Jupyter notebooks, install Anaconda and execute the .yml file to create the appropriate environment:

conda env create -f 0_env.yml 

Active the environment by running: 

conda activate Kitaev3_2DEG

Finally, open jupyer lab:

jupyter lab

to launch the notebooks.

Data is stored in the qcodes '.db' format. Datasets are transformed in the plotting functions to an xarray dataformat, before being processed. All data obtained over the course of the measurements is included. The file '1_Introduction.ipynb' details what data is included and how to load/visualise the datasets. A package has been included in the folder 'Plotting', which allows for automatically plotting any dataset with some minimal configuration options. 

The following files are included:

0_env.yml : conda environment required for running the notebooks

1_Introduction.yml: explanation of how to load and output the datasets

2_Figures_Main.ipynb: loads data from the databases and outputs the figures as shown in the main text

3_Figures_Supp.ipynb: loads data from the databases and outputs the figures as showni n the supplementary text

Kitaev_3_conductance.py: File for solving the tight-binding Kitaev chain model and calculate conductances using a scattering matrix approach, used to generate the numerical results as shown in the main text and supplementary file