Quantum Computers Overcome Errors Through "Self-Learning": Google's New Technique That Never Stops Computation

To correct drift in control parameters that occurs during quantum computation, a Google research team has developed a method that leverages quantum error correction detection signals for reinforcement learning. By using local error rates as a metric to autonomously adjust tens of thousands of parameters, continuous calibration becomes possible without ever halting computation.