Quantum Computing
Materials Science
Web Development
QuantumWaste
An advanced materials research platform applying quantum computing principles to polymer science. Integrates computational chemistry with environmental sustainability for waste management solutions.
Highlights
- Quantum algorithm implementation
- 3D molecular visualization engine
- Real-time optimization processes
- Interactive simulation platform
Overview
QuantumWaste applies quantum computing principles to solve complex polymer degradation problems, helping develop more sustainable waste management solutions. The platform simulates molecular interactions to identify optimal conditions for breaking down plastic waste.
Key Features
- Quantum Algorithm Implementation: Uses PennyLane for quantum circuit simulations
- 3D Molecular Visualization: Interactive Three.js visualizations of polymer structures
- Real-Time Optimization: Iterative algorithms to find optimal degradation pathways
- ML-Enhanced Predictions: Scikit-learn models trained on computational chemistry data
Technical Architecture
React frontend with Three.js for 3D rendering, Flask backend for API services, and PennyLane for quantum computing simulations. NumPy provides efficient numerical computations.
Research Applications
- Polymer degradation pathway analysis
- Enzyme-substrate interaction modeling
- Biodegradability prediction for new materials
