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:
- Clone the QoolQit GitHub repository
git clone https://github.com/pasqal-io/qoolqit.git
- Setup an environment for developing. From your
qoolqitfolder, again install with your favorite environment/package managers. Onvenv/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, ...)
1 maintainer
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