Robot Tuner for Quantum Processors ⚡ экспресс
Superconducting quantum processors are growing rapidly, but their calibration is becoming a bottleneck — scripts break down from the slightest anomalies, and experts can't keep up with tuning hundreds of qubits. A team developed Vibe Calibration, where language model-based agents turn engineer experience into 'skills' — decision trees with measurement commands and acceptance criteria. The system autonomously calibrated 108 out of 112 qubits on a real chip in 4.7 hours, accelerating the process by 4–5 times, and then repeated the success on another device without rewriting logic. It’s like a robot tuner, once it’s learned the violin, easily tunes a cello.
Tuning a quantum processor is monotonous work: you need to calibrate each qubit — a quantum cell — much like a watchmaker adjusting dozens of tiny gears. Humans get tired and make mistakes.
Now this "apprentice" carries out parameter measurements, makes decisions, and keeps records on its own. At its core is a language model that typically generates text, but here it controls real hardware. The system doesn't just repeat memorized steps; it understands the essence, so it handles unexpected situations and easily transfers skills to other chips. Reducing chaos in the system yields stable results.
🎯 Vibe Calibration is powered by a large language model — the same technology behind ChatGPT, but adapted for quantum physics.