Welcome to QuEra's repo on quantum computing and neutral-atom technologies! Following this material you will be brought from 0 to 1 (or ground to Rydberg!) on concepts and programming schemes for doing experiments and simulations with our quantum tech and beyond. Stay tuned for updates, exercises, homework, and future challenges!
There are two possible ways to interact with the examples here, either via qBraid, a cloud-based environment for accessing different quantum computing platforms, or locally on your own machine.
To run this repo's content you'll first need to install the Python programming language on your system.
Then you'll need to ensure that you have Jupyter Notebook/Jupyter Lab already installed on your computer. Jupyter Lab can be installed via conda or pip (see here) but you can also use notebook: (https://jupyter.org/install#jupyter-notebook).
Finally, you'll need to install the packages the tutorials rely on. We are doing our best to ensure requirement toml files exist inside each folder for ease of running.
Notice some of this content might require Julia, which can be installed and managed using juliaup.
You can also launch this entire repo on qBraid by clicking on the button below:
To launch specific materials, check the links below
| Notebook | qBraid |
|---|---|
| IEEE QCE 2025 Tutorial Notebook |  |
If you would like to acknowledge usage of any of the materials in this repo, please use the following format:
J. Long, P. Lopes. (2023) QuEra Educational Materials
You may also use the bibtex citation below:
@misc{Long_Lopes_2023,
title={QuEra Educational Materials},
url={https://github.com/QuEraComputing/quera-education},
publisher={QuEra Computing Inc.},
author={Long, John and Lopes, Pedro},
year={2023}}