Quantum Generative Adversarial Networks: Bridging Classical and Quantum Realms
Sahil Nokhwal, Suman Nokhwal, Saurabh Pahune, Ankit Chaudhary
Abstract
In this pioneering research paper, we present a groundbreaking exploration into the synergistic fusion of classical and quantum computing paradigms within the realm of Generative Adversarial Networks (GANs). Our objective is to seamlessly integrate quantum computational elements into the conventional GAN architecture, thereby unlocking novel pathways for enhanced training processes.
Topics & Concepts
Bridging (networking)Adversarial systemQuantumGenerative grammarComputer scienceTheoretical computer scienceArtificial intelligenceComputer securityQuantum mechanicsPhysicsQuantum Computing Algorithms and ArchitectureAdversarial Robustness in Machine LearningAdvanced Malware Detection Techniques