QuEra Educational Materials

Welcome to QuEra's course 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!

Launch Options

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.

Local Usage

To run the tutorials in this repo you'll first need to install the Julia programming language on your system.

You can do this in a pinch with juliaup which allows you to easily maintain multiple versions of Julia (should you need it) as well as keeping Julia up-to-date.

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. Type julia into your terminal and you should be greeted by:

               _
   _       _ _(_)_     |  Documentation: https://docs.julialang.org
  (_)     | (_) (_)    |
   _ _   _| |_  __ _   |  Type "?" for help, "]?" for Pkg help.
  | | | | | | |/ _` |  |
  | | |_| | | | (_| |  |  Version 1.9.1 (2023-06-07)
 _/ |\__'_|_|_|\__'_|  |  Official https://julialang.org/ release
|__/                   |

julia>

Now copy and paste the following into the prompt:

using Pkg; Pkg.add(["Bloqade", "BloqadeExpr", "BloqadeSchema", "Graphs", "PythonCall", "IJulia", "JSON3"])

Once the installation is complete you can exit Julia and launch jupyter lab/jupyter notebook from your terminal (ensuring you're launching it from the folder where all these tutorials are). The IJulia package you installed earlier should have installed a jupyter kernel that enables Julia code to be executed inside Jupyter notebooks.

Select the "Julia" kernel and have fun tinkering with the examples!

Usage on qBraid

You can also launch this entire repo on qBraid by clicking on the button below:

NOTE: Access to Bloqade on qBraid is still in development and requires a specific access code. Contact QuEra if you are interested in support for this access at info@quera.com.

🚀 Bloqade SDK for Python 🚀

While you're experimenting and learning to hack netural atoms with the Julia versin of Bloqade, we also encourage you to check out the Alpha release of Bloqade for Python! The Python version will eventually have an interface to the Julia version, giving you unparalleled performance for testing your ideas out along with a clear syntax for constructing programs on real neutral atom hardware.

Check the documentation to get started. We are in active development of this new package so we appreciate feedback during the Alpha phase.

Citing

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}}