most citedOptimizing Ansatz Design in Quantum Generative Adversarial Networks Using Large Language Models

3 citations · 3 across the 1 of their papers we have counts for

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quant-ph2025★ 3 cited

Optimizing Ansatz Design in Quantum Generative Adversarial Networks Using Large Language Models

Kento Ueda, Atsushi Matsuo

We present a novel approach for improving the design of ansatzes in Quantum Generative Adversarial Networks (qGANs) by leveraging Large Language Models (LLMs). By combining the str…