Hybrid power systems Archives - IEEE Transactions on Quantum Engineering

Dual-Discriminator Hybrid Quantum Generative Adversarial Networks for Improved GAN Performance

December 9, 2025Purin Pongpanich, Tanasanee PhienthrakulQuantum ComputingComputer architecture, Generative adversarial networks, Generators, Hybrid power systems, Integrated circuit modeling, Logic gates, Neural networks, Quantum circuit, Quantum computing, Training

Abstract: This study presents an investigation of the dual-discriminator hybrid quantum generative adversarial network (DDHQ-GAN), a framework designed to enhance the performance of conventional generative adversarial networks (GANs) through the incorporation of a hybrid quantum discriminator. The proposed DDHQ-GAN architecture comprises three primary components: a generator and two discriminators. The research evaluates the efficacy of […]

Hybrid Quantum Cycle Generative Adversarial Network for Small Molecule Generation

June 13, 2024Matvei Anoshin; Asel Sagingalieva; Christopher Mansell; Dmitry Zhiganov; Vishal Shete; Markus Pflitsch; Alexey MelnikovQuantum Software, UncategorizedChemicals, Drugs, Generative adversarial networks, Generators, Hybrid power systems, Measurement, Vectors

The drug design process currently requires considerable time and resources to develop each new compound that enters the market. This work develops an application of hybrid quantum generative models based on the integration of parameterized quantum circuits into known molecular generative adversarial networks and proposes quantum cycle architectures that improve model performance and stability during […]

Hybrid Quantum Cycle Generative Adversarial Network for Small Molecule Generation

June 13, 2024Matvei Anoshin, Asel Sagingalieva, Christopher Mansell, Dmitry Zhiganov, Vishal Shete, Markus Pflitsch, Alexey MelnikovQuantum SoftwareChemicals, Drugs, Generative adversarial networks, Generators, Hybrid power systems, Measurement, Vectors