A Hybrid Quantum–Classical Generative Adversarial Network for Synthetic Biological Data Generation
Synthetic biological data play a crucial role in bioinformatics research, particularly in scenarios involving limited data availability and strict privacy constraints. However, conventional generative adversarial networks often face challenges in simultaneously preserving local statistical characteristics and global da...