Quantum Matcha Tea

Quantum Matcha Tea is a Tensor Network emulator for quantum circuits and linear optics circuits. You can define your circuits in either:

• qiskit, for quantum circuits;
• strawberry fields, for linear optics circuits.

If you use another quantum information library (as cirq) we suggest to save your circuit in qasm format and then load it in qiskit.

The circuits ca be ran using the following backends:

• numpy, using the CPU in python;
• cupy, using the GPU in python;
• fortran, using either the CPU or GPU and MPI multiprocessing;

Documentation

Here is the documentation. The documentation can also be built locally with sphinx with the following python packages:

• sphinx
• sphinx_rtd_theme
• sphinx-gallery

and running the command make html in the docs/ folder.

Installation

Independent of the use-case, you have to install the dependencies. Then, there are the options using it as a stand-alone package, or as a python interface for the fortran backend of quantum matcha TEA.

Installation via pip

The package is available via PyPi and pip install qmatchatea. After cloning the repository, a local installation via pip is also possible via pip install ..

Dependencies

Notice that, even though the library could be run with a GPU with cupy, the latter package is not installed by default in the machine, since it could give problems for machines that have no access to a gpu. If you have access to a GPU and you want to use it, please proceed to the installation as described in cupy website.

Furthermore, also strawberry fields is not installed by default.

Testing the package

To test the python package qmatchatea simply run from the command: python3 -m unittest

License

The project qmatchatea from the repository py_api_quantum_matcha_tea is licensed under the following license:

Apache License 2.0

The license applies to the files of this project as indicated in the header of each file, but not its dependencies.