Google Quantum AI just solved one of quantum computing’s most annoying homework problems: keeping the machine calibrated while it’s actually running. A new reinforcement learning framework, published in Nature on July 8, allows Google’s Willow processor to continuously tune its own control parameters during quantum error correction, without pausing the computation.

For the crypto industry, this isn’t just a physics curiosity. Every step toward reliable, fault-tolerant quantum computing shortens the runway before today’s elliptic-curve and RSA encryption becomes vulnerable.

What Google actually built

Superconducting qubits, the kind Google uses, have a nagging problem. No two are exactly alike, and their…