Course material for a workshop held in the Advanced School on Optimization Methods in Quantum Information, part of the ICMAT research term Quantum Information Theory 2023, that takes place from 27 February to 03 March 2023 at ICMAT in Madrid, Spain.
The notebooks require a Jupyter Notebook server or notebook-capable code editor, Python 3.5 or later and the libraries listed in requirements.txt (which can be installed through the first notebook). You can click the button above to solve the exercises in your browser on Binder, though a local setup is recommended.
A gentle introduction to picos-api/picos>: solve a constrained linear regression problem.
Recover a famous SDP-based approximation algorithm for the NP-hard Max-Cut problem.
Learn about the Schur complement and build a crane.
Use Hermitian semidefinite programming to calculate bounds for the quantum channel discrimination problem.
All notebooks are available under the the terms of the Creative Commons CC-BY 4.0 public license.