QAOA for random k-SAT derives efficacy from an adiabatic manifold that supports rigorous performance guarantees at depth Θ(n²) and sublinear parameter optimization via SAMP at depth O(n).
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Quantum ensemble engineering aligns sampling weights with operator sign structures via basis-resolved correlator reformulation and specialized circuits, exposing suppressed contributions in infinite-temperature correlation functions on IBM processors up to 20 qubits.
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Mechanism of Efficacy in QAOA for Random k-SAT: From Adiabatic Manifold to Sublinear Parameter Optimization
QAOA for random k-SAT derives efficacy from an adiabatic manifold that supports rigorous performance guarantees at depth Θ(n²) and sublinear parameter optimization via SAMP at depth O(n).
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Ensemble Engineering to Overcome Destructive Cancellation in Quantum Measurements
Quantum ensemble engineering aligns sampling weights with operator sign structures via basis-resolved correlator reformulation and specialized circuits, exposing suppressed contributions in infinite-temperature correlation functions on IBM processors up to 20 qubits.