Google Quantum AI trains RL agent to continuously correct qubit drift
They demonstrated a reinforcement‑learning framework that learns from quantum error detections to continuously steer control parameters, enabling error correction without halting computations. This removes a bottleneck for long‑duration quantum algorithms and pushes fault‑tolerant quantum computing closer.