Grover iteration is a key component in Grover's algorithm that amplifies the probability amplitude of the target state while reducing that of the non-target states. Each iteration consists of a sequence of operations: an oracle call that marks the correct answer, followed by a diffusion operation that increases the probability amplitude of the marked state. This process is repeated multiple times to exponentially speed up the search for a specific item in an unstructured database compared to classical methods.
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