Quantum matcha TEA python library for tensor network emulation of quantum circuits.
Project description
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:
The license applies to the files of this project as indicated in the header of each file, but not its dependencies.
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