Splitting quantum optimal control into repeated short-horizon MPC problems, with terminal constraints or optimized setpoints, gives faster and more robust qubit state preparation in simulations.
Nonlin- ear model predictive control of a four tank system: An experimental stability study,
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Model predictive quantum control: A modular approach for efficient and robust quantum optimal control
Splitting quantum optimal control into repeated short-horizon MPC problems, with terminal constraints or optimized setpoints, gives faster and more robust qubit state preparation in simulations.