Learned-projector QAOA for hierarchical optimization

arXiv:2609.28888 · quant-ph · Submitted 2026-09-24 · Read on arXiv

quant-ph

Submitted: 2026-09-24

Updated: 2026-09-24

Terminology

• Adam — 16× in this paper · explained in 2 episodes
• Ablation — 14× in this paper · explained in 1 episode
• Alignment — 14× in this paper · explained in 1 episode
• Benchmark — 9× in this paper · explained in 2 episodes
• Adiabatic Evolution — 6× in this paper · explained in 2 episodes
• Robustness — 4× in this paper · explained in 5 episodes
• Aggregation — 3× in this paper · explained in 1 episode
• Combinatorial Optimization — 3× in this paper · explained in 2 episodes
• Accuracy — 2× in this paper · explained in 1 episode
• International Conference on Quantum Computing and Engineering — 2× in this paper
• Verification — 2× in this paper · explained in 2 episodes
• Adjacency Matrix — 1× in this paper · explained in 1 episode
• Degeneracy — 1× in this paper · explained in 3 episodes
• Elias — 1× in this paper · explained in 2 episodes
• Hamming Distance — 1× in this paper · explained in 2 episodes
• Quantum Circuits — 1× in this paper · explained in 2 episodes

Sources

• Quantum Computation by Adiabatic Evolution
• A Quantum Approximate Optimization Algorithm
• Quantum Supremacy through the Quantum Approximate Optimization Algorithm
• Large time-step discretisation of adiabatic quantum dynamics
• QAOA-MaxCut has barren plateaus for almost all graphs
• Provable avoidance of barren plateaus for the Quantum Approximate Optimization Algorithm with Grover mixers
• Quantum tree generator improves QAOA state-of-the-art for the knapsack problem
• Partitioned-Constraint QAOA (PC-QAOA): Structural State Preparation and Penalty Enforcement for Quantum Optimization
• Locally Acting Grover Mixers for Constraint-Preserving QAOA

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