Hamming Weight Operators and an adaptive QAOA variant confine evolution to feasible states by construction, delivering faster convergence and roughly half the gate count versus penalty methods on finance and physics tasks.
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Hybrid quantum walks with optimal dynamical coin operators outperform QAOA on Max-Cut and MIS by accessing a strictly larger Jordan-Lie algebra that enables faster convergence and higher accuracy.
citing papers explorer
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Constraint-Aware Quantum Optimization via Hamming Weight Operators
Hamming Weight Operators and an adaptive QAOA variant confine evolution to feasible states by construction, delivering faster convergence and roughly half the gate count versus penalty methods on finance and physics tasks.
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Beyond Single Trajectories: Optimal Control and Jordan-Lie Algebra in Hybrid Quantum Walks for Combinatorial Optimization
Hybrid quantum walks with optimal dynamical coin operators outperform QAOA on Max-Cut and MIS by accessing a strictly larger Jordan-Lie algebra that enables faster convergence and higher accuracy.