QAOA

Combinatorial optimization problems can be solved with the quantum approximate optimization algorithm (QAOA; also known as "quantum alternating operator ansatz).

We demonstrated the application of the Google Sycamore superconducting qubit quantum processor to combinatorial optimization problems with the QAOA arxiv:2004.04197. Like past QAOA experiments, we studied performance for problems defined on the (planar) connectivity graph of our hardware; however, we also applied the QAOA to the Sherrington-Kirkpatrick model and MaxCut, both high dimensional graph problems for which the QAOA requires significant compilation.

This module contains the code to generate QAOA circuits, execute demonstrations, and analyze the results. Please read on to learn about the example problems, compilation, analysis, and how to run the experiment end-to-end.