SGIR-QAOA uses spectral gap information to create non-linear parameter schedules that outperform linear ramps on Grover's problem and MIS, achieving target probabilities at lower depths even under mild noise.
Training variational quantum algo- rithms is np-hard.Physical review letters, 127(12):120502, 2021
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A Spectral Gap Informed Parameter Schedule for QAOA
SGIR-QAOA uses spectral gap information to create non-linear parameter schedules that outperform linear ramps on Grover's problem and MIS, achieving target probabilities at lower depths even under mild noise.