SGIR-QAOA uses spectral gap information to construct QAOA parameter schedules, showing better performance than linear-ramp QAOA on Grover's problem at fixed depth, shorter depths for equivalent success probability, extension to MIS, and persistence under extrapolated gaps and mild noise.
Extrapolation method to optimize linear-ramp quantum approximate optimization algorithm parameters: Evaluation of runtime scaling.Physical Review A, 113(3):032413
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Spectral Gap Informed Ramp QAOA
SGIR-QAOA uses spectral gap information to construct QAOA parameter schedules, showing better performance than linear-ramp QAOA on Grover's problem at fixed depth, shorter depths for equivalent success probability, extension to MIS, and persistence under extrapolated gaps and mild noise.