HGLE encodes QAOA samples into a weighted Ising matrix and applies leverage-score row sampling to preserve the dominant subspace, enabling cheaper trust-region optimization of QAOA parameters with formal rank and energy guarantees.
Quantum speedup of leverage score sampling and its appli- cation,
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Hamiltonian-Guided Leverage Embedding: Robust Subspace Compression for Efficient QAOA Parameter Estimation
HGLE encodes QAOA samples into a weighted Ising matrix and applies leverage-score row sampling to preserve the dominant subspace, enabling cheaper trust-region optimization of QAOA parameters with formal rank and energy guarantees.