Introduction to quantum engineering and technologies in quantum computing, quantum communication, and quantum sensing. The quantum physics section includes quantum states, superposition, entanglement, ...

Reinforcement learning for Markov decision processes. Deep neural networks for reinforcement learning. Value-based reinforcement algorithms with deep Q-networks. Policy gradient methods for discrete ...

Introduction to fundamental science concepts and laboratory implementation of quantum engineering applications. Science concepts include wave-particle duality, quantum erasure, quantum entanglement ...

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