Deep Reinforcement Learning for Quantum State Preparation with Weak Nonlinear Measurements

Understand

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.