Annotation

This talk will address one of the possible future practical applications of quantum computers - solving optimization problems. The most promising algorithm in this area appears to be the Quantum Approximate Optimization Algorithm (QAOA), which will be the main focus of this talk. The advantage of this hybrid variational algorithm is that it can be used on today's quantum computers of this NISQ era. The Qiskit toolkit will be employed to demonstrate the practical applications of this algorithm as well as for hands-on exercises. 

Benefits for the attendees, what they will learn:

Participants will get an idea of one of today's quantum computer's possible future practical applications. They will delve into the formulation of an optimization problem and its subsequent conversion into the form required for QAOA. The principle of finding the optimal solution to a given problem will be explained to them theoretically and through practical examples. Most importantly, participants will also get hands-on experience with IBM's Qiskit toolkit.