Reinforcement Learning with Hybrid Quantum Approximation in the NISQ Context
Leonhard Kunczik
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Reinforcement Learning with Hybrid Quantum Approximation in the NISQ Context

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This book explores the combination of Reinforcement Learning and Quantum Computing in the light of complex attacker-defender scenarios. Reinforcement Learning has proven its capabilities in different challenging optimization problems and is now an established method in Operations Research. However, complex attacker-defender scenarios have several characteristics that challenge Reinforcement Learning algorithms, requiring enormous computational power to obtain the optimal solution. The upcoming field of Quantum Computing is a promising path for solving computationally complex problems. Therefor...