The quantum approximate optimization algorithm (QAOA) is a quantum algorithm designed to solve combinatorial optimization problems by leveraging quantum mechanics. It operates by preparing a quantum state that encodes possible solutions and then applying a sequence of quantum gates to optimize the cost function associated with those solutions. This innovative approach connects closely with artificial intelligence as it can enhance decision support systems through improved optimization techniques, enabling faster and more efficient problem-solving.
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