Exposing hidden threats through the lens of quantum security.
Quantum Pose explores how quantum computing can expose, simulate, and defend against cybersecurity vulnerabilities.
The project uses quantum algorithms to model real-world attacks and quantum-inspired defenses to visualize how information integrity can be preserved in the post-quantum era.
As the world moves toward quantum supremacy, traditional cryptography becomes increasingly vulnerable.
Quantum Pose creates an interactive and visual framework where users can:
- 🔍 Visualize the process of breaking small cryptographic keys using Shor’s Algorithm.
- 🧠 Experiment with Grover’s Search to understand quantum speed-up in brute-force attacks.
- 🛡️ Simulate post-quantum encryption strategies (e.g., lattice-based, hash-based).
- 📊 Compare performance and resilience between classical and quantum systems.
| Layer | Description |
|---|---|
| Quantum Engine | Implements algorithms like Shor’s, Grover’s, and Quantum Fourier Transform using Qiskit or Cirq. |
| Attack Simulation | Demonstrates classical vs. quantum attack complexity using small key examples. |
| Visualization | Displays how amplitudes evolve during a quantum attack or defense scenario. |
| Metrics Dashboard | Tracks computation time, probability of success, and entropy change for each algorithm. |
- Quantum Framework: Qiskit or Cirq
- Frontend (optional): Streamlit or Dash for real-time visualization
- Backend: Python
- Math Libraries: NumPy, Matplotlib
- Optional ML Add-on: TensorFlow Quantum for anomaly detection
- ⚡ Compare quantum vs. classical cryptanalysis.
- 🔐 Explore Shor’s Algorithm factorization demo.
- 🧮 Use Grover’s Algorithm for password-search visualization.
- 🌐 Optional dashboard interface for interactive exploration.
- 📊 Generate performance charts and entropy plots.