This notebook and associated data performs the analysis shown in the blog post.
The entire gate set tomography output report can be viewed by opening gst_report/main.html in a web browser. To run the analysis yourself, ensure that you have conda installed on your system. Then, navigate to your forte_benchmarking directory in a terminal and run
conda env create -f environment.yml
conda activate forte_benchmarking
which will install the required dependencies.
We will be making use of the pygsti software package to do gate set tomography. Since our gate set is not in pygsti's standard implementation, we will need to install a modified version that includes our native gate set. Navigate to a directory you use for repositories and run
git clone git@github.com:colibri-coruscans/pyGSTi.git
cd pyGSTi
git checkout maunz/MSgates
pip install -e .
which will clone the version of pygsti with our native gate set and set it up for use with our conda environment.
The environment is now initialized, so you can now navigate to your forte_benchmarking directory and run
jupyter-notebook
and a jupyter analysis environment will launch. Opening Performance analysis.py will start the analysis notebook.