Reinforcement learning under partial observability with a stochastic terminal reward from one-shot Hamiltonian measurements enables experiment-compatible preparation of Bose-Hubbard ground states and GHZ states.
Controlling nonergodicity in quantum many-body systems by reinforcement learn- ing
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Experiment-compatible measurement--feedback quantum state preparation with reinforcement learning
Reinforcement learning under partial observability with a stochastic terminal reward from one-shot Hamiltonian measurements enables experiment-compatible preparation of Bose-Hubbard ground states and GHZ states.