Lecture

Quantum Adiabatic Optimization: Combinatorial Problems

In course

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Description

This lecture covers the Quantum Approximate Optimization Algorithm for solving combinatorial optimization problems, such as satisfiability problems and examples of booleau variables. It discusses the Runtime Approximate Primaties Algorithm and the process of finding optimal solutions. The instructor, Vincenzo Savona, explains the concepts of Ising Spin Glass and the method proposed to find the minimal energy configuration of classical spins.

Instructor

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Official source

https://mediaspace.epfl.ch/media/0_z5j4azrr

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Ontological neighbourhood

Theoretical computer science

Theory of computation: Computational complexity theory, Quantum computing

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