Quantum process tomography

This sample demonstrates the use of Python to call into Q# by using the QInfer and QuTiP Python libraries to study the behavior of a Q# operation.

Installation

As this sample demonstrates using Q# and Python together, make sure you have the qsharp package for Python installed first; see the Getting Started with Python guide for details.

This sample also uses a couple extra Python packages to help out, so you'll need to have those ready as well. If you are using the Anaconda distribution of Python, this can be done automatically by using the environment.yml file provided with this sample:

cd samples/characterization/process-tomography
conda env create -f environment.yml
conda activate process-tomography

Running the Sample

Once everything is installed, run jupyter notebook to start the Jupyter Notebook interface in your web browser:

jupyter notebook

In the browser, select the tomography-sample.ipynb notebook in your browser to view the sample.

Manifest

• tomography-sample.ipynb: Jupyter Notebook demoing the Python interoperability with Q#.
• environment.yml: Specification of a conda environment for use with Q# interoperability samples.