Reinforcement learning gives quantum computer record-low logical error rates

Researchers integrated reinforcement learning with quantum error correction, allowing a quantum computer to continuously self-calibrate during computation. The approach achieved record-low logical error rates and greater resilience to parameter drift. The advance is seen as a significant step toward practical, stable quantum computing.