Adaptive AI for Pulse-Level Quantum Control
It is demonstrated that a reinforcement-learning agent based on a deep Q learning network can autonomously discover high-performance pulse sequences using only system parameters and a reward function, highlighting adaptive learning as a promising hardware-ready framework for pulse-level quantum control.