Feedback calibration policies outperform open-loop baselines in low-latency quantum runtime regimes when workloads are quality-sensitive and start with aged calibrations.
Available: https://www.sciencedirect.com/science/article/ pii/0005109889900022
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Runtime Calibration as State-Trajectory Feedback Control in Quantum-Classical Workflows
Feedback calibration policies outperform open-loop baselines in low-latency quantum runtime regimes when workloads are quality-sensitive and start with aged calibrations.
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Abstract Sim2Real through Approximate Information States
Abstract simulators can be grounded to real tasks by making their dynamics history-dependent and correcting them with real data, enabling RL policy transfer.
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Adapt and Stabilize, Then Learn and Optimize: A New Approach to Adaptive LQR
New epoch-based direct MRAC algorithm for adaptive discrete-time LQR achieves high-probability regret bounds without requiring an initial stabilizing controller or exploration.