In this certifiable course, we provide a basic introduction into some of the fundamental concepts behind supervised quantum machine learning algorithms.
Requirements
- Knowledge of basic notions of quantum computing is assumed.
- We provide the programming examples in
qiskit. - So if both things are known to you, you can directly start out. Otherwise, the introductory chapters of the qiskit textbook might be a great starting point.
- Knowledge of classical supervised learning is not really necessary, but certainly helpful. The Coursera course by deeplearning.ai is awesome.
How to get certification
- Make sure that you have the subscription that you can obtain here.
- Make sure that you are logged in. Login
- Work your way through the lectures and fill out the quizzes.
- Once you finished all of them you can download the certification.
If you would like to have further information, please contact us.
Course Curriculum
Basics of supervised machine learning
Quantum machine learning
QML with multiple qubits