For the introduction (first lecture)

We will fill up the notebook in the folder notebooks. It simply requires numpy: you can either install it "globally":

python3 -m pip install numpy opt_einsum networkx

or create a virtualenv and install it

virtualenv dev_env
source dev_env/bin/activate
python3 -m pip install numpy opt_einsum networkx

A quantum circuit simulation library

The code is already packaged. First create and activate a virtualenv :

virtualenv dev_env
source dev_env/bin/activate

Then install the package in place (dirty but efficient):

python -m pip install -e .

Testing

You can run the tests using the following command line (requires pytest):

python -m pytest tests/testing.py

In order to restrict tests to a single simulator you can use the -k option:

python -m pytest tests/testing.py -k Direct

You can cumulate filters. The following line will run test uniform_distrib_n for simulator Direct and restricted to n=3.

python -m pytest tests/testing.py -k "Direct and uniform_distrib_n and 3"

Development

We will develop (at least) three simulators, each in its own file (under src/qps)

I strongly recommend to use vscode :)