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요약
Quantum computers have the potential to train AI models faster than classical computers, but challenges remain. The transition from classical to quantum computing involves encoding data from deterministic to probabilistic states. Despite ongoing research, skepticism exists regarding the practical applications of quantum computing in AI, with parallel computing currently proving effective.