Quantum Machine Learning Tutorial

A Hands-on Tutorial for Machine Learning Practitioners and Researchers

Getting Started

This tutorial provides a comprehensive introduction to the latest developments in quantum machine learning, specifically designed for readers with expertise in machine learning.

While a deep understanding of quantum physics is not required, having the following foundational knowledge will enhance your ability to engage with the material:

  • Linear algebra
  • Fundamentals of machine learning
  • Python

Software Environment

The code examples in this tutorial have been tested on the following software platform:

  • Python==3.9.6
  • PennyLane==0.34.0
  • scikit-learn==1.4.2