Mohamed Emad and Ashraf Hany have secured second place at Egypt's first Quantum-AI Hackathon, organized by Nile University!
Our students from the Faculty of Computer Science at October University for Modern Sciences and Arts (MSA University), in collaboration with Nile University, tackled a Raman shift spectroscopy dataset from a Nature paper by Dr. Amr Essawi, a Stanford University postdoctoral researcher. They preprocessed 1377 features for encoding into a Variational Quantum Classifier (VQC) and built and optimized the VQC model using Qiskit.
Over two intense days, they developed and tested around 150 different models, achieving 71% accuracy, the second-highest among all teams. This groundbreaking experience enhanced their knowledge of quantum computing and AI.
Congratulations to our dear students!