Lecture

Quantum Approximate Optimization Algorithm

Description

This lecture introduces the Quantum Approximate Optimization Algorithm (QAOA) as a method to solve combinatorial optimization problems using quantum computers. The instructor explains the principles behind QAOA and its application to Boolean Satisfiability (SAT) problems. The lecture covers the formulation of optimization problems in a quantum setting, focusing on the Ising Spin-glass problem and K-SAT problems. Various examples and algorithms are discussed to illustrate the effectiveness of QAOA in solving complex optimization problems.

About this result
This page is automatically generated and may contain information that is not correct, complete, up-to-date, or relevant to your search query. The same applies to every other page on this website. Please make sure to verify the information with EPFL's official sources.