5 citations · 5 across the 2 of their papers we have counts for
2 papers
quant-ph2025
A Primer on Quantum Machine Learning
Su Yeon Chang, M. Cerezo
Quantum machine learning (QML) is a computational paradigm that seeks to apply quantum-mechanical resources to solve learning problems. As such, the goal of this framework is to le…
quant-ph2024★ 5 cited
Latent Style-based Quantum GAN for high-quality Image Generation
Su Yeon Chang, Supanut Thanasilp, Bertrand Le Saux +2
Quantum generative modeling is among the promising candidates for achieving a practical advantage in data analysis. Nevertheless, one key challenge is to generate large-size images…