Author

Young-Wook Cho

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Preprint Sep 2026

Quantum Fidelity Landscape-Guided Prior Calibration for Single-Circuit QGAN Image Generation

Quantum Generative Adversarial Networks (QGANs) have emerged as representative generative models in the Noisy Intermediate-Scale Quantum (NISQ) era and have attracted increasing attention in quantum machine learning. However, most existing QGAN methods rely on patch-based decomposition strategies, which weaken the glob...

Xue Yang, Rigui Zhou, Dax Enshan Koh et al. · 0 citations

Preprint Aug 2026

CoQui: A Coordinate-Conditioned Quantum Implicit Generative Adversarial Network for End-to-End Image Generation

Simulated experiments show that this reformulate quantum image generation as coordinate-conditioned implicit function learning outperforms FRQI-based generation and PQWGAN in visual and quantitative quality while using fewer qubits, and also achieves better generation quality than the corresponding classical baseline.

Xue Yang, Rigui Zhou, Shi-Zheng Jia et al. · 0 citations