Advanced School on Optimization Methods in Quantum Information

Dates: 27 Feb - 03 Mar 2023

Contact: Alex Pozas-Kerstjens (, Felix Huber (

There exists a large variety of problems in quantum information, in which expertise with methods from mathematical optimization becomes relevant. Examples range from the computing the optimal measurements for state discrimination to calculating the probability of an eavesdropper succeeding in extracting a private key. Yet, obtaining a broad knowledge of these methods is, in general, difficult due the breadth of subject and the lack of centralized resources. The aim of this school is to train MSc and PhD students, and young researchers, in the techniques of mathematical optimization that are relevant for research in quantum information. For many this will be the “tools of trade” in their future research career.

Confirmed lecturers:

  • Hamza Fawzi (University of Cambridge): Semidefinite programming in quantum information
  • Richard Kueng (Johannes Kepler University Linz): Quantum discrimination and tomography (lecture notes)
  • Maximilian Stahlberg (Technische Universität Berlin): Practical semidefinite programming with PICOS (slides, notebooks)