Google Quantum AI and DeepMind show a reinforcement-learning agent can recalibrate a quantum chip's controls live, mid-error-correction — cutting logical error rates up to 31% on Willow and hitting a record 7.72×10⁻⁴ logical error rate. Plus: a $55M Midwest quantum supply-chain award, IonQ's dilution debate, a diamond-based quantum computer goes commercial, and a laptop that solved a problem once thought to need quantum hardware.

• Linked sources: Google Uses AI Reinforcement Learning For Quantum Error Correction — The Next Platform
• CQE-led Bloch Quantum Tech Hub Raises $55 Million — The Quantum Insider
• IonQ, QuantumBasel Study on Hybrid AI Energy Advantages — The Quantum Insider
• SAXON Q Launches Commercial Diamond-Based NV-Center Systems — The Quantum Insider
• AWS, NVIDIA, LBNL, NASA Framework for Quantum-HPC Integration — Quantum Computing Report
• Investor thread on IonQ ecosystem build vs. dilution — X/@netcreat
• An Ordinary Laptop Solved a Problem Thought to Require a Quantum Computer — ScienceDaily

Quickly Quantum is an AI-voiced podcast, built and run by a real person. Nothing in this episode is financial advice.