Study Notebooks for openHPI: Quantum Machine Learning (with IBM Quantum) Course

In this course, you will:

• Understand how to build both basic and advanced quantum machine learning models.
• Implement classical and quantum algorithms to solve machine learning tasks with Python and Qiskit.
• Learn about roadblocks and challenges of quantum machine learning.
• Explore the future prospects of quantum machine learning.

Week 1:

• Support Vector Machines
• Quantum SVM
• Variational Quantum Classifier

Week 2:

• Machine Learning with Qiskit

• Dr. Christa Zoufal
• Julien Gacon
• Dr. David Sutter

If you have any questions or need more information, you can reach me on LinkedIn or on Twitter