Transformers as Intrinsic Optimizers for Quantum Approximate Optimization Algorithm

arXiv:2609.19392 · quant-ph · Submitted 2026-09-16 · Read on arXiv

quant-ph

Submitted: 2026-09-16

Updated: 2026-09-16

Terminology

• Transformer — 64× in this paper · explained in 2 episodes
• Quantum Approximate Optimization Algorithm — 15× in this paper
• Adam — 8× in this paper · explained in 2 episodes
• Benchmark — 8× in this paper · explained in 2 episodes
• Benchmarking — 7× in this paper · explained in 4 episodes
• Ablation — 5× in this paper · explained in 1 episode
• Combinatorial Optimization — 5× in this paper · explained in 2 episodes
• Transferability — 5× in this paper · explained in 4 episodes
• Robustness — 4× in this paper · explained in 5 episodes
• Approximation Ratio (AR) — 3× in this paper · explained in 1 episode
• Activation Function — 2× in this paper · explained in 1 episode
• Heterogeneous Graph — 2× in this paper · explained in 2 episodes
• International Conference on Quantum Computing and Engineering — 2× in this paper
• Quantum Circuits — 2× in this paper · explained in 2 episodes
• Ablation study — 1× in this paper · explained in 1 episode
• Adjacency Matrix — 1× in this paper · explained in 1 episode
• Alignment — 1× in this paper · explained in 1 episode
• Consistency — 1× in this paper · explained in 3 episodes
• Embeddings — 1× in this paper · explained in 2 episodes
• Fine-Tuning — 1× in this paper · explained in 5 episodes
• Generalization — 1× in this paper · explained in 13 episodes
• Meta-learning — 1× in this paper · explained in 2 episodes
• Tokenization — 1× in this paper · explained in 2 episodes

Sources

• A Quantum Approximate Optimization Algorithm
• Recursive QAOA for Interference-Aware Resource Allocation in Wireless Networks
• Learning to learn with quantum neural networks via classical neural networks
• Iterative Interpolation Schedules for Quantum Approximate Optimization Algorithm
• Transformers as Intrinsic Optimizers: Forward Inference through the Energy Principle

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