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Description:

percevalquandela 0.11.0

Perceval
Through a simple object-oriented python API, Perceval provides tools for building a circuit with linear optics components,
defining single-photon sources and their error model, manipulating Fock states, running simulations, reproducing published experimental papers results,
and experimenting with a new generation of quantum algorithms.
It is interfaced with the available QPUs on
the Quandela cloud, so it is possible to run computations on an
actual photonic computer.
Perceval aims to be a companion tool for developing discrete-variable photonics circuits

while simulating their design, modelling their ideal and real-life behaviour;
and proposing a normalized interface to control photonic quantum computers;
while using powerful simulation backends to get state-of-the-art simulation;
and also allowing direct access to the QPUs of Quandela.

Perceval has been developed as a complete toolkit for physicists and quantum computational students, researchers and
practitioners.
Key Features

Powerful Circuit designer making use of predefined components
Simple python API and powerful simulation backends optimized in C
Misc technical utilities to manipulate State Vector, Unitary Matrices, and circuit Parameters
Transversal tools for visualization compatible with notebooks or local development environments
Numerical and symbolical computation
Modular architecture welcoming contributions from the community

Installation
Perceval requires:

Above Python 3.8 and below Python 3.12

PIP
We recommend installing it with pip:
pip install --upgrade pip
pip install perceval-quandela

If you are looking to use our qiskit, qutip or myqlm bridges you can specify it:
pip install perceval-quandela[qiskit_bridge] #install qiskit and seaborn
pip install perceval-quandela[qutip_bridge] #install qutip
pip install perceval-quandela[myqlm_bridge] #install myqlm
pip install perceval-quandela[qiskit_bridge, qutip_bridge, myqlm_bridge] #install all above

GitHub
git clone https://github.com/quandela/Perceval

then to install Perceval:
pip install .

Or for developers:
pip install -e .

Or to use converters:
pip install .[qiskit_bridge, qutip_bridge, myqlm_bridge]

Running tests and benchmarks
Unit tests files are part of the repository in tests/ and can be run with:
pip install -r tests/requirements.txt
pytest

Additionally, you can see a coverage report with the command:
pytest --cov=perceval

Benchmark tests for computing-intensive functions are in benchmark/ and can be run with:
pytest benchmark/benchmark_*.py

Comparison benchmarks for different platforms are also committed in .benchmarks/ - see pytest-benchmark documentation for more information.
Documentation and Forum

The documentation
The Community Forum