Enhancing Digital Security: A Novel Dual-Paradigm Approach for Robust Deepfake Detection Using Pre and Post Quantum-Trained Neural Networks

This research paper proposes a new method for detecting deepfakes (AI-generated fake videos or images) by using neural networks (computer systems loosely modeled on how brains learn) trained with both current and quantum computing approaches. The dual approach aims to make deepfake detection more reliable and harder for attackers to bypass.