🚀 Transforming Quantum Security with AI 🚀
After six months of dedicated innovation, I’ve developed a groundbreaking hybrid neural network that redefines quantum security analysis, achieving hardware-level performance in pure software.
Key Technical Achievements:
- 95% Detection Accuracy in less than 10ms
- Bell Inequality Violation Detection up to 2.828 CHSH values
- Comprehensive QKD Channel Analysis and QRNG Validation
- Multi-task Learning Architecture for enhanced efficiency
This breakthrough combines quantum encoding with classical neural networks, enabling real-time analysis without the need for expensive quantum hardware systems. Curious to see it in action? Check out the demo: Demo Link.
I’m eager to gather your insights on this technical approach and its potential use cases. How do you envision using AI to democratize quantum security?
🔗 Join the conversation and share your thoughts!
