The enormous progress quantum computing made recently brings it closer and closer
to perform useful tasks in industry. Quantum-enhanced machine learning is an emerging
area which investigates how quantum computing can boost machine learning. If you are
interested to learn about quantum computing and its application to machine learning,
then this is the right course for you.
All modules consists of theory as well as hands-on programming with
Qiskit in Python (Jupyter Notebooks).
The first module provides you with the necessary basic know-how in quantum computing starting from scratch.
In parallel, you learn how to use Qiskit and how to run your quantum algorithms on the
IBM Quantum experience devices.
The second module considers specific more advanced quantum algorithms,
which build the foundation for
quantum machine learning algorithms.
In the third and last module, we finally cover quantum neural networks as well as further
quantum machine learning algorithms, which are particular suitable for quantum devices.