Quantum optimization: Identifying The best configuration for a large system of interconnected components is a single optimization problem that is often resolved using quantum machine learning. Supply chain management, scheduling, and logistics can all gain from this.
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It can be employed to make a decision what motion to take at t+one depending on data nearly time t. This concept is used in Artificial Intelligence applications for instance walking. A well-liked illustration of reinforcement learning is actually a chess engine
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