Claude-trained controller fixes quantum computer laser drift in seconds

A quantum computer can have hundreds of qubits, but one drifting laser can still bring the whole machine to a halt.

Keeping those lasers precisely tuned is one of the less glamorous, and surprisingly difficult parts of running a quantum computer. Now, researchers have shown that an AI agent can learn to diagnose and correct some of these failures on its own. 

In a test involving a neutral-atom quantum-computing system operated by Massachusetts-based QuEra Computing, Anthropic’s Claude restored a laser’s lock in 695 of 700 trials, usually in less than six seconds. 

The result points to a different role for AI in quantum computing: not solving a quantum problem, but learning how to keep the hardware itself working.

“For years, the hardest part of scaling quantum computers wasn’t the physics. It was the people driving at 2 am to fix a laser lock. We built a solution using the Model Hardware Standard to fix that,” Sergio Cantu, VP of Quantum Systems at QuEra Computing, said.

Teaching an AI to troubleshoot a quantum machine

Neutral-atom quantum computers use lasers to manipulate individual atoms and use them as qubits. The lasers need to remain at extremely precise frequencies. Disturbances can make them drift, causing them to lose their lock and interrupt the computer’s operation.