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Lecture
Are you an EPFL student looking for a semester project?
Work with us on data science and visualisation projects, and deploy your project as an app on top of Graph Search.
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.