name: Farhaan Khan
based_in: Hyderabad, India
degree: B.Tech Computer Science @ VIT Vellore
currently:
- Publishing quantum-hybrid ML research
- Building AI tools students actually use
- Looking for interesting problems to solve
interests: [AI/ML, Quantum Computing, Systems, Developer Tooling]
A Quantum-Hybrid Framework for Enhanced Deepfake Detection
Integrating QAOA-Based Feature Selection with Quantum-Inspired Attention Mechanisms
IEEE Access, Vol. 14, pp. 17853–17873, 2026 · DOI: 10.1109/ACCESS.2026.3659021
Designed a hybrid quantum-classical architecture for video deepfake detection. Combined QAOA-based feature selection with quantum-inspired attention mechanisms — outperforming classical baselines on FaceForensics++ and DFDC.
deepfake detection quantum computing QAOA attention mechanisms multimedia forensics
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