Q-Forensics Quantum Deepfake Detection

Q-Forensics is a lightweight hybrid quantum-classical framework designed to detect high-quality synthetic media efficiently. It combines spatial noise residuals and frequency domain artifacts using dual-stream fusion to capture subtle deepfake patterns. These features are embedded into a 8-dimensional Hilbert Space and processed using a 4-qubit Variational Quantum Circuit (VQC), enabling accurate classification with significantly fewer parameters than traditional models. The system performs entanglement-based analysis to uncover hidden correlations that classical methods often miss. It achieves high detection accuracy while maintaining low computational overhead and fast inference time. Additionally, Q-Forensics includes a provenance auditing layer that identifies digital watermarks and AI-generated signatures, ensuring traceability of content origin. The framework also generates heatmaps to highlight manipulated regions, providing explainability and making it a robust solution for modern multimedia forensics.