Quantum reinforcement learning in continuous action space

no code implementations • 19 Dec 2020 • Shaojun Wu, Shan Jin, Dingding Wen, Donghong Han, Xiaoting Wang

As an application, our method can solve the quantum state-generation problem in a single shot: it only requires a one-shot optimization to generate a model that outputs the desired control sequence for arbitrary target state.

reinforcement-learning Reinforcement Learning (RL)