A collection of quantum algorithms built using the Rigetti Forest platform. Grove is licensed under the Apache 2.0 license.
Grove currently includes:
- Quantum Teleportation
- The Variational-Quantum-Eigensolver (VQE)
- The Quantum Approximate Optimization Algorithm (QAOA)
- The Quantum Fourier Transform (QFT)
- Phase Estimation Algorithm
Features in the alpha
package are considered experimental.
Documentation is hosted at http://grove-docs.readthedocs.io/en/latest/
You can install Grove directly from the Python package manager pip
using:
pip install quantum-grove
To instead install Grove from source, clone this repository, cd
into it, and run:
pip install -e .
This will install Grove’s dependencies if you do not already have them. However, you will still need to install pyQuil and set up a connection to the Rigetti Forest (see below).
- NumPy
- SciPy
- NetworkX (for building and analyzing graphs)
- Matplotlib (useful for plotting)
- pytest (optional, for development testing)
- mock (optional, for development testing)
Grove also requires the Python library for Quil, called pyQuil.
You can install pyQuil directly from the Python package manager pip
using:
pip install pyquil
To instead install pyQuil from source, clone the
pyQuil GitHub repository,
cd
into it, and run:
pip install -e .
You will need to make sure that your pyQuil installation is properly configured to run with a quantum virtual machine (QVM) or real quantum processor (QPU) hosted on the Rigetti Forest, which requires an API key. See the pyQuil docs for instructions on how to do this.
We use sphinx to build the documentation. To do this, navigate into Grove's top-level directory and run:
sphinx-build -b html docs/ docs/_build
To view the docs navigate to the newly-created docs/_build
directory and open
the index.html
file in a browser. Note that we use the Read the Docs theme for
our documentation, so this may need to be installed using pip install sphinx_rtd_theme
.
We use tox and pytest for testing. Tests can be executed from the top-level directory by simply running:
tox
The setup is currently testing Python 2.7 and Python 3.6.
If you use pyquil, grove or other parts of Forest in your research, please cite it as follows:
bibTeX:
@misc{1608.03355,
title={A Practical Quantum Instruction Set Architecture},
author={Smith, Robert S and Curtis, Michael J and Zeng, William J},
journal={arXiv preprint arXiv:1608.03355},
year={2016}
}
Text:
R. Smith, M. J. Curtis and W. J. Zeng, "A Practical Quantum Instruction Set Architecture," (2015),
arXiv:1608.03355 [quant-ph], https://arxiv.org/abs/1608.03355