The approximation ratio is a measure used in optimization algorithms that quantifies how close a given solution is to the optimal solution. In the context of quantum algorithms, particularly the Quantum Approximate Optimization Algorithm (QAOA), this ratio helps evaluate the effectiveness of the algorithm in finding solutions that are near-optimal for combinatorial problems, allowing researchers to understand how well these quantum approaches perform compared to classical methods.
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