06 Quantum machine learning with Qiskit

Intermediate level | Duration 3 hours or 6 hours with practical exercice modules

This intermediate level workshop explores the possibilities offered by Qiskit in quantum machine learning for classification tasks as well as a practical exercises module.

An additional 3-hour module also offers a series of practical exercises in applied quantum machine learning, including training a model for classifying a dataset.

1. Definition of the binary classification problem in machine learning

2. Basic concepts in quantum computing

3. Projection of classical data into quantum feature space

4. Variational quantum classifier (VQC)

5. Perspectives in quantum machine learning (QML)

Practical Exercises Module

Intermediate level | Duration 3 hours

This module offers a series of practical exercises in applied quantum machine learning, including training a model for data set classifying tasks.