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quant-ph2026
Transformers as Intrinsic Optimizers for Quantum Approximate Optimization Algorithm
Kuan-Cheng Chen, Xiaotian Xu, Hiromichi Matsuyama +3
The Quantum Approximate Optimization Algorithm (QAOA) is a leading variational framework for combinatorial optimization on noisy intermediate-scale quantum hardware, but its practi…
quant-ph2026
Scalable Quantum Machine Learning via Multi-layer Fully-Connected Variational Quantum Circuits
Howard Su, Chen-Yu Liu, Samuel Yen-Chi Chen +2
Variational quantum circuits (VQCs) face an expressivity-trainability dilemma and scalability challenges. We propose Multi-Layer Fully-Connected Variational Quantum Circuits (FC-VQ…