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.
Adiabatic quantum unstructured search in parallel
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Presents an asymptotically optimal Õ(n²)-time quantum algorithm for the BDG causal set action via uniform superposition over causal set encodings and two-stage quantum counting.
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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.
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Benincasa-Dowker-Glaser causal set actions by quantum counting
Presents an asymptotically optimal Õ(n²)-time quantum algorithm for the BDG causal set action via uniform superposition over causal set encodings and two-stage quantum counting.