Quantum Machine Learning

This two-day course on Quantum Machine Learning provides an introduction to combining Machine Learning with Quantum Technology. The course covers the essential topics in Machine Learning through the fundamentals of Statistics and Probability, and introduces how quantum computing could be utilized in the field of machine learning. Educational examples are covered from both classical and quantum perspectives, highlighting the key differences between the approaches. Some topics from the Theory of Algorithms will also be covered to put both quantum and classical machine learning into perspective on their limitations and strengths. This course focuses specifically on gate-based quantum computing utilizing the Qiskit quantum programming toolkit.

The course is organized on site at CSC premises in Life Science Center, located in Keilaniemi Espoo. During the course, a JuPyter Notebook environment will be used for the hands-on sessions (which will be the main focus of the course instead of lectures).

Learning outcomes

To understand the fundamentals of Machine Learning and how it translates in the Quantum Computing applications.

The course is targeted to students, researchers, and those in industry who have some Quantum Computing background, and are interested in its machine learning applications.

Prerequisites

Basics of Python and Qiskit are highly recommended. Additionally, basic notions of statistics and probability will be beneficial, however these basic notions will be explained as methods and approaches are introduced.

Schedule

Both days from 09:00 to 15:00

Topics covered in the course

Day 1
Primer on principles of Statistics and Probability
Supervised and Unsupervised Learning
Fundamentals of Support Vector Machines and Neural Networks
Essentials of Theory of Algorithms (Classical and Quantum)
Quantum Machine Learning

Day 2
Quantum Supervised Learning
Quantum Unsupervised Learning
(Quantum) Reservoir Computing

The course is free of charge for participants from the Member States (MS) of the European Union (EU) and Associated/Other Countries to the Horizon Europe programme.

IMPORTANT: Please answer succinctly to the questions in the registration form, so that the lectures will have an overall picture of the participant’s background information.