This invention describes a smart system designed to improve how quantum computers perform. It works by running special diagnostic tests on the quantum computer, then analyzing the results to understand its current operational state. Based on this understanding, the system intelligently decides the best order and timing for maintenance tasks (calibrations) to keep the quantum computer running at its peak, learning over time what works best.
Why it matters: Quantum computers have grown significantly in complexity and qubit count since 2022, making manual calibration increasingly intractable. Advances in AI-driven control systems and more mature quantum software platforms now better support the automated, learning-based calibration strategies described.
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