An Evaluation of Training Strategies in QuGAN

• Published in: 2023 IEEE International Conference on Quantum Computing and Engineering (QCE) Vol. 2; pp. 336 - 337
• Main Authors: Ngo, Tuan A., Luu, Nhan T., Thang, Truong Cong
• Format: Conference Proceeding
• Language: English
• Published: IEEE 17.09.2023
• Subjects: Behavioral sciences; Content generation; Generative adversarial networks; Generators; Hybrid power systems; Hybrid quantum-classical system; Quantum computing; QuGAN; Training; Training strategies

Recently, researchers have attempted to enhance Generative Adversarial Network (GAN) for content generation using hybrid quantum-classical approaches. However, quantum GAN (QuGAN) is a novel field of study, and it remains unclear to understand the behaviors due to the presence of two competing modul...