qoolqit 1.0.0

A Python library for developing algorithms in the Rydberg Analog Model.

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

For more detailed information, check out the documentation.

Install from PyPi

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

pip install qoolqit

Add QoolQit as a dependency

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"
]

Install from source

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]

Getting in touch

• 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, ...)