A quantum genetic algorithm is an optimization technique that combines principles from quantum computing and genetic algorithms to enhance problem-solving capabilities. This approach leverages quantum mechanics, such as superposition and entanglement, to explore the solution space more efficiently than classical methods, leading to faster convergence and improved results in complex problems.
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