QAOA (Quantum Approximate Optimization Algorithm) is an algorithm used for finding approximate solutions to optimization problems on quantum computers. It aims to find the minimum of an objective function by encoding the problem into a series of quantum gates and measurements. The algorithm combines quantum mechanics and classical optimization to find near-optimal solutions in a polynomial number of steps, which makes it a promising approach for solving certain combinatorial optimization problems that are intractable on classical computers.
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