Quantum Optimization (with IBM Quantum)Julien Gacon, Dr. Daniel J. Egger, Dr. Stefan Woerner, Lucía Cuervo Valor

The listed learning units belong to the course Quantum Optimization (with IBM Quantum). Do you want to access all course content?

Week 1

In the first week you will learn the basics of how to carry out optimization tasks on quantum computers. We will learn about optimization classes, and in particular, quadratic unconstrained binary optimization. Next, we learn how to encode such problems in Ising Hamiltonians and how to tackle them with quantum annealing and variational algorithms such as quantum approximate optimization.

Week 2

In the second week we will study improvements and extensions to the algorithms from week 1 and how they can be executed on superconducting qubits. You will also learn about a non-variational approach to optimization problems on a quantum computer. Finally, there are two interviews that wrap up the course, where we discuss possible applications, challenges and an outlook for quantum optimization.