A model-predictive-control-inspired hybrid algorithm optimizes quantum circuit layers over a receding horizon and is proven to at least match FALQON while sometimes outperforming it in practice.
Accelerating feedback-based algo- rithms for quantum optimization using gradient descent,
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A Model Predictive Control-Inspired Quantum Algorithm
A model-predictive-control-inspired hybrid algorithm optimizes quantum circuit layers over a receding horizon and is proven to at least match FALQON while sometimes outperforming it in practice.