A tri-layer Ising hetero-associative memory with PCA-SimHash encoding achieves finite-size capacity scaling to an asymptotic limit near 0.5 and demonstrates cross-modal reconstruction on sleep polysomnography data.
Title resolution pending
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
years
2026 2verdicts
UNVERDICTED 2representative citing papers
A GNN predicts Gaussians over QAOA parameters to create graph-conditioned trust regions that reduce circuit evaluations for MaxCut from 85-343 down to 45 while keeping approximation ratios within 3 points of heuristics.
citing papers explorer
-
Finite-size scaling of hetero-associative retrieval in continuous-signal-driven Ising spin systems
A tri-layer Ising hetero-associative memory with PCA-SimHash encoding achieves finite-size capacity scaling to an asymptotic limit near 0.5 and demonstrates cross-modal reconstruction on sleep polysomnography data.
-
Query-Efficient Quantum Approximate Optimization via Graph-Conditioned Trust Regions
A GNN predicts Gaussians over QAOA parameters to create graph-conditioned trust regions that reduce circuit evaluations for MaxCut from 85-343 down to 45 while keeping approximation ratios within 3 points of heuristics.