Grover's Search Algorithm is a quantum algorithm designed to search through an unsorted database or an unstructured search space with a quadratic speedup over classical algorithms. This means that it can find a specific item in a database of N entries in just about \(O(\sqrt{N})\) steps, compared to the \(O(N)\) steps required by classical search methods. This efficiency makes it particularly relevant for applications in areas like optimization and reinforcement learning, where searching for optimal actions or solutions is essential.
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