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 mitigates destructive cancellation in NISQ expectation value measurements by aligning ensemble weights with operator sign structure, shown via circuits on IBM hardware up to 20 qubits for infinite-temperature correlators.
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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 mitigates destructive cancellation in NISQ expectation value measurements by aligning ensemble weights with operator sign structure, shown via circuits on IBM hardware up to 20 qubits for infinite-temperature correlators.