The quantum approximate optimization algorithm (QAOA) is a quantum computing algorithm designed to find approximate solutions to combinatorial optimization problems. It leverages quantum superposition and entanglement to explore multiple solution paths simultaneously, potentially outperforming classical algorithms in terms of speed and efficiency. QAOA is particularly useful in fields such as machine learning, finance, and logistics, where finding optimal solutions can be computationally intensive.
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