Quantum Generative Adversarial Networks (QGANs)
Quantum Generative Adversarial Networks (QGANs) are an advanced form of generative models that leverage quantum computing to enhance data generation capabilities. They build on the classical Generative Adversarial Networks (GANs) framework, which consists of two neural networks: a generator and a discriminator: Why do I want to use QGANs? An initial representation (a map) about … Read more