Decoder-consistent Hamiltonians are defined via POVM pullback, revealing inconsistencies in standard QRAO for mixed-degree quadratics and yielding new MaxCut approximation guarantees.
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3 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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quant-ph 3years
2026 3representative citing papers
A hybrid quantum framework decomposes CVRP into bounded-width knapsack subproblems, trains a reinforcement learning controller for Lagrangian multipliers, and uses a contextual bandit to adapt quantum hardware execution, yielding improved routing quality on standard test instances.
A slack-free step-penalty combined with CVaR tail sampling improves VQE optimality gaps on multi-dimensional knapsack benchmarks versus slack-based QUBO.
citing papers explorer
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Decoder-Consistent Hamiltonians for POVM-Based Quantum Relaxations
Decoder-consistent Hamiltonians are defined via POVM pullback, revealing inconsistencies in standard QRAO for mixed-degree quadratics and yielding new MaxCut approximation guarantees.
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Qubit-Scalable CVRP via Lagrangian Knapsack Decomposition and Noise-Aware Quantum Execution
A hybrid quantum framework decomposes CVRP into bounded-width knapsack subproblems, trains a reinforcement learning controller for Lagrangian multipliers, and uses a contextual bandit to adapt quantum hardware execution, yielding improved routing quality on standard test instances.
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CVaR-Assisted Custom Penalty Function for Constrained Optimization
A slack-free step-penalty combined with CVaR tail sampling improves VQE optimality gaps on multi-dimensional knapsack benchmarks versus slack-based QUBO.