django-qlued

A django package the couples together quantum hardware and endusers. It allows cold atom hardware and simulators to be accessed through the qiskit-cold-atom and the sqooler SDK:

• qlued handles the user management and stores the received json file in an appropiate queue.
• qiskit-cold-atom allows the enduser to write the circuit definitions on its laptop and send them to the server in form of a nice json file.
• sqooler acts as the SDK that pulls the the calculations from the queue and sends back the result into the storage.
• end devices like the sqooler-example or the labscript-qc-example can perform the calculation and display it to the user.

Getting started

You can currently install the package via pip through:

pip install django-qlued

We provide a template for a simple startup:

• The fully deployable example is accessible via qlued.
• Examples for configurations can be found in the tests folder.

Contributing

See the contributing guide for detailed instructions on how to get started with a contribution to our project. We accept different types of contributions, most of them don't require you to write a single line of code.

On the qlued site, you can click the make a contribution button at the top of the page to open a pull request for quick fixes like typos, updates, or link fixes.

For more complex contributions, you can open an issue to describe the changes you'd like to see.

If you're looking for a way to contribute, you can scan through our existing issues for something to work on.

Join us in discussions

We use GitHub Discussions to talk about all sorts of topics related to documentation and this site. For example: if you'd like help troubleshooting a PR, have a great new idea, or want to share something amazing you've learned in our docs, join us in the discussions.

License

Any code within this repo is licenced under the Apache 2 licence.

The qlued documentation in the docs folders are licensed under a Creative Commons Attribution-ShareAlike 4.0 International License (CC BY-SA 4.0).

Thanks 💜

Thanks for all your contributions and efforts towards improving qlued. We thank you for being part of our ✨ community ✨!