QoolQit is a Python library for algorithm development in the Rydberg Analog Model.

For more detailed information, check out the documentation.

QoolQit can be installed from PyPi with your favorite pyproject-compatible Python manager. On pip, for example:

pip install qoolqit

For usage within a project with a corresponding pyproject.toml file, you can add qoolqit to the list of dependencies as follows:

[project]
dependencies = [
  "qoolqit"
]

If you wish to install directly from the source, for example, if you are developing code for QoolQit, you can:

1. Clone the QoolQit GitHub repository

git clone https://github.com/pasqal-io/qoolqit.git

2. Setup an environment for developing. From your qoolqit folder, again install with your favorite environment/package managers. On venv/pip, for example:

python -m venv .venv
source .venv/bin/activate
pip install -e .[dev]

• Pasqal Community Portal (forums, chat, tutorials, examples, code library).
• GitHub Repository (source code, issue tracker).
• Professional Support (if you need tech support, custom licenses, a variant of this library optimized for your workload, your own QPU, remote access to a QPU, ...)