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Lecture
Quantum Approximate Optimization Algorithm
Description
This lecture covers the Quantum Approximate Optimization Algorithm, explaining the principles behind adiabatic quantum annealing, the adiabatic theorem, and the application of quantum annealing in optimization problems. It delves into the concept of quantum adiabatic evolution and its significance in solving combinatorial optimization problems efficiently.
Official source
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