Overview of RL control. Google Quantum AI has introduced a hardware-control framework that unifies real-time calibration with active quantum error correction (QEC), allowing an autonomous reinforcement learning (RL) agent to stabilize logical qubits during uninterrupted execution. Published in Nature ("Reinforcement learning control of quantum error correction"), the engineering milestone addresses the primary bottleneck facing fault-tolerant [...] The post Google Research Stabilizes “Willow” Quantum Processor Using Continuous Reinforcement Learning Control Layers appeared first on Quantum Com
Source: Quantum Computing Report — read the full report at the original publisher.