Q-Forensics: A Hybrid Quantum-Classical Framework for Deepfake Detection and Provenance Audit via Spatial-Frequency Fusion
Q-Forensics is a lightweight hybrid quantum-classical framework that utilizes 4-qubit entanglement to detect sophisticated deepfakes and verify content provenance through high-dimensional Hilbert Space analysis.
Q-Forensics is a next-generation security engine that identifies synthetic media through a multi-layered forensic audit. By mapping spatial noise residuals and spectral frequency artifacts into a 16-dimensional Hilbert Space, the framework utilizes a 4-Qubit Variational Quantum Circuit (VQC) to achieve 97.8% accuracy with an 80% reduction in parameters compared to classical models. Beyond mathematical detection, the system incorporates an Administrative Audit Layer to recognize AI logos and extract invisible digital watermarks, providing a complete provenance trail for modern generative models like Flux and Stable Diffusion 3.5.