Quantum error correction can constantly recalibrate a processor

Researchers demonstrated that reinforcement learning can use error data to adjust quantum processor control algorithms. The technique enables continuous recalibration of quantum systems without pausing operations. This approach addresses a core challenge in quantum computing: maintaining processor accuracy as environmental interference accumulates over time.

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