This code performs the analysis as reported in "InAs-Al Hybrid Devices Passing the Topological Gap Protocol" by Microsoft Azure Quantum.
The paper is available as a pre-print on arXiv:2207.02472.
See the Jupyter notebooks
- notebooks/stage-one-analysis.ipynb as a step-by-step example of the Stage 1 analysis,
- notebooks/stage-two-analysis.ipynb as a step-by-step example of the Stage 2 analysis,
- notebooks/yield-analysis.ipynb which performs the yield analysis on a large set of simulation data,
- notebooks/fridge-calibration.ipynb which shows the fridge calibration data used for high-frequency corrections,
- and notebooks/paper-figures.ipynb which performs all the analysis and generates the plots that appear in the paper.
View the executed notebooks with nbviewer: paper-figures.ipynb, stage-two-analysis.ipynb, stage-one-analysis.ipynb, yield-analysis.ipynb, fridge-calibration.ipynb.
We store the raw data in this repository using Git LFS in the data/ folder.
Install Git LFS before cloning this repository.
The data/simulated/yield folder is 17 GB and is only used in the notebooks/yield-analysis.ipynb Jupyter notebook.
To clone the repo without this data, use (with ssh):
git lfs clone git@github.com:microsoft/azure-quantum-tgp.git --exclude="data/simulated/yield"or with https:
git lfs clone https://github.com/microsoft/azure-quantum-tgp.git --exclude="data/simulated/yield"Install azure-quantum-tgp from PyPI with
pip install azure-quantum-tgpor clone this repository and do a developer install with
conda create --name tgp python=3.10 # create a new conda env
conda activate tgp
pip install -e ".[test]"
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