PACE interleaves active generation of diverse learners with subsequent pruning to produce smaller ensembles that retain performance and offer faithfulness guarantees.
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UNVERDICTED 3representative citing papers
A hybrid quantum-classical method with knapsack-specific QAOA circuits and classical recovery produces solutions indicating improvement over classical schemes for chance-constrained knapsack problems in insurance on IBM Heron processors.
Quantum optimization for GTSP yields competitive solutions on small instances but shows higher runtimes and sharp drops in feasibility and scalability on larger graphs compared to classical solvers.
citing papers explorer
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PACE: Prune-And-Compress Ensemble Models
PACE interleaves active generation of diverse learners with subsequent pruning to produce smaller ensembles that retain performance and offer faithfulness guarantees.
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A Quantum Approach to Stochastic Optimization in Insurance Underwriting
A hybrid quantum-classical method with knapsack-specific QAOA circuits and classical recovery produces solutions indicating improvement over classical schemes for chance-constrained knapsack problems in insurance on IBM Heron processors.
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Quantum Optimization Methods for the Generalized Traveling Salesman Problem
Quantum optimization for GTSP yields competitive solutions on small instances but shows higher runtimes and sharp drops in feasibility and scalability on larger graphs compared to classical solvers.