Quantum error correction can constantly recalibrate a processor

Quantum error correction can constantly recalibrate a processor

Reinforcement learning uses error information to adjust control algorithms.

Google Research Stabilizes "Willow" Quantum Processor Using Continuous Reinforcement Learning Control Layers

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 [.…

Autonomous Quantum Computer Calibration

A Google-led research team has demonstrated a quantum computer that continuously learns from its own errors during operation. This breakthrough replaces a major bottleneck in quantum computing with an artificial intelligence system that adapts as conditions shift, improving reliability and reducing interruptions. The study, published in Nature, details a reinforcement learning system that utilizes the ongoing stream of error-correction data prod…