I've been working on this for 6 months - built a hybrid neural network that performs quantum security analysis with hardware-level performance in pure software.
Technical achievements: • 95% detection accuracy in <10ms response time • Bell inequality violation detection (up to 2.828 CHSH values) • QKD channel analysis and QRNG validation • Multi-task learning architecture
The breakthrough was combining quantum encoding with classical neural networks to achieve real-time analysis that previously required expensive quantum hardware systems.
Demo: https://celebrated-faun-feff7e.netlify.app
Looking for feedback on the technical approach and potential use cases. What do you think about using AI to democratize quantum security?
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