Installation

Prerequisites

sQUlearn requires a recent python3 (>=3.9) installation. Additionally the following python packages are necessary:

bayesian-optimization>=1.4.3,<2
dill>=0.3.4
mapomatic>=0.10.0
networkx>=3.0
numpy>=1.20
pennylane>=0.34.0
qiskit>=0.45.0
qiskit-aer>=0.12.0
qiskit-algorithms>=0.3.0
qiskit-ibm-runtime>=0.18.0
qiskit-machine-learning>=0.7.0
scipy>=1.8.0
scikit-learn>=1.2.0,<1.4.2
tqdm>=4.1.0

The packages are automatically installed when installing sQUlearn with pip.

Stable Release

To install the stable release version of sQUlearn, run the following command:

pip install squlearn

Bleeding-edge version

To install the latest master version:

pip install git+https://github.com/sQUlearn/squlearn.git

Development version

To install the latest development version:

pip install git+https://github.com/sQUlearn/squlearn.git@develop

Installation with optional dependencies:

There are several optional dependencies that can be installed with sQUlearn. To install sQUlearn with the dependencies usefull for development, run the following command:

pip install squlearn[dev]

To install sQUlearn with the dependencies necessary to run all examples, run the following command:

pip install squlearn[examples]

And to install sQUlearn with the dependencies necessary to build the documentation, run the following command:

pip install squlearn[docs]