How To Set Up JupyterLab To Participate In IBM's Quantum Open Science Prize

An easy-to-follow guide to starting with the IBM Quantum Open Science Prize

Do you want to get started with Quantum Machine Learning? Have a look at Hands-On Quantum Machine Learning With Python.

When it comes to starting a new project, configuring the development tends to be half the battle. This is especially true when we use a new technology or adhere to formal constraints.

So, while I don't know anything about your experience with quantum computing projects, there are certainly some formal constraints to consider to participate in IBM's Quantum Open Science Prize. For instance, we need to provide an open-source Jupyter notebook.

Therefore, let's get the setup out of our way.

IBM provides an exemplary GitHub project for us to clone or fork. It contains two Jupyter notebooks that we will start with. Of course, you'll need to have Jupyter running on your local machine.

If you have no Jupyter environment up and running or prefer to use a virtual Dockerized environment, you may want to clone or fork my fork of the project. Then, all you need is a Unix-compatible environment (such as Ubuntu Linux or macOS) with Docker installed.

If you have a Windows 10 computer, don't worry. Here's a guide on setting up the Linux subsystem on Windows. You can stop right after you've installed Ubuntu.