Mountain ViewErrors just taught a quantum chip to fix itself.
Google engineers reused error-correction data to drive reinforcement learning across 40,000 control parameters, catching calibration drift mid-calculation for a 20% error-detection gain.
Researchers say the method only holds if hardware drift stays slow enough between corrections.
Sources: Ars Technica