  Properly designed control has been shown to be particularly advantageous for
improving AQC accuracy and time complexity scaling. Here, an \emph{in situ}
quantum control optimization protocol is developed to indirectly optimize state
fidelity without knowledge of the instantaneous spectral gap or the
computational solution. The protocol is shown to converge to
analytically-derived time-optimal controls for Grover's search algorithm.
Furthermore, the protocol is utilized to explore optimized control trajectories
for the Maximum 2-bit Satisifiability (MAX 2-SAT) problem, where appreciable
improvement in fidelity and the minimum spectral gap over a linear schedule is
observed. The approach is also shown to be robust against system model
uncertainties (unitary control errors). This method is designed to enable
robust control optimization on existing quantum annealing hardware and future
AQC processors.
