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Quantum annealing is a cutting-edge technique used in quantum computing to solve complex optimization problems. Unlike traditional quantum computing that uses gate-based logic, quantum annealing relies on the principles of quantum tunneling and superposition to find the global minimum of a function. It's especially powerful for tackling real-world problems like scheduling, logistics, machine learning, and materials science.

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