260096 VU Quantum Information Theory -Quantum Computing & Machine Learning (2023W)

[This event is planned to be face-to-face and presence is mandatory.]

This event gives an introduction to quantum information theory with a focus on quantum computing and quantum machine learning mainly from the theoretical point of view but experimental possibilities will be also discussed. The course provides also Hand-On, e.g. a set of quantum gatter will be provided with which we can build basic quantum algorithms and test them. Realization on present and upcoming quantum computers will be discussed.

The course builds on the knowledge of a basic course on quantum mechanics and introduces to qubits, quantum gates, circuits, measurement problem, quantum algorithms, artificial neural networks, simple machine learning algorithms (e.g. PCA, k-means), error correction schemes and basics of decoherence. (Classical) machine learning knowledge is not needed, an introduction will be given before discussing the quantum versions.

Method: lectures, problem solving problems within the class, Hand-on, and problems for take-away.

Depending on the wish of the students it will be either in English or German.