Course Contents:
General aspects of quantum information theory in discrete and continuous variable systems
Characterization of quantum resources in noisy quantum systems
Entanglement as a resource in quantum information processing
Quantum Information Processing on current quantum computing platforms
Analysis of data obtained in quantum experiments
Use of machine learning tools in quantum information processing
Preconditions:
Recommended:
Linear algebra and quantum mechanics or quantum computing. A basic understanding of functional analysis or knowledge of quantum information theory is an advantage.
- Dozent*in: Mariami Gachechiladze