From the source
Google Research demonstrated a reinforcement learning framework for quantum error correction that allows a quantum computer to continuously adapt to drift and remain stable during long computations, as published in Nature.
From the source
To address this, in “Reinforcement learning control of quantum error correction”, published in Nature, we demonstrated a reinforcement learning (RL) framework in which an autonomous agent learns from quantum error detections to continuously steer thousands of control parameters, stabilizing the quantum system against drift during the computation.
research.google