Data and Code for "Using Andreev bound states and spin to remove domain walls in a Kitaev chain"

This folder contains the raw data and code used to generate the plots for the manuscript Controlling phase with Andreev bound states and spin to remove domain walls in a Kitaev chain. Three jupyer notebooks are included for outputting the data, figures and analytical derivation presented in the main text and supplementary. 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 Plotting 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. 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_Main_Figures.ipynb: loads data from the databases and outputs the figures as shown in the main text. 2_Supplementary_Figures.ipynb: loads data from the databases and outputs the figures as showni n the supplementary text. 3_Analytical_Derivations.ipynb: runs a sympy/pymablock script to derive the complex phase dependence on Andreev bound state properties. Kitaev_3_module.py: File for solving the tight-binding models for simulating the Kitaev chain and calculate conductances, used to generate the numerical results as shown in the main text and supplementary file