Deep Reinforcement Learning for Quantum State Preparation with Weak Nonlinear Measurements
Deep Reinforcement Learning for Quantum State Preparation with Weak Nonlinear Measurements
Quantum control has been of increasing interest in recent years, e.g. for tasks like state initialization and stabilization. Feedback-based strategies are particularly powerful, but also hard to find, due to the exponentially increased search space. Deep reinforcement learning holds great promise in this regard. It may provide new answers to …