Configuring Ubuntu for Quantum Machine Learning with Python
Explore the process of configuring an Ubuntu environment for Quantum Machine Learning using Python. Understand how to install Python, set up virtual environments, and install essential packages such as Jupyter, Qiskit, and scikit-learn. This lesson equips you to prepare your system efficiently for quantum computing projects.
We'll cover the following...
In this lesson, you’ll go through the installation on Ubuntu Linux. An Ubuntu Linux environment is highly recommended when working with quantum machine learning and Python because all the tools you need can be installed and configured quickly.
Other Linux distributions (such as Debian) or macOS, which builds upon Unix, are also fine, but there are a few more aspects to consider.
All the code should work on Windows, too. However, the configuration of a Windows working environment can be a challenge on its own. Fortunately, there’s a way out. So, if you have a Windows operating system, look at the next lesson, How to Setup Jupyterlab for Quantum Computing on Windows, before continuing with the ...