Biography
Dr. Yasmine Khalil is a pioneering researcher at the intersection of quantum computing and artificial intelligence. She directs the Center for Advanced Sciences at Zewail City, where her team explores quantum machine learning algorithms and neuromorphic computing architectures. Her breakthrough work on hybrid quantum-classical algorithms has opened new frontiers in optimization and drug discovery.
Research Projects
Quantum ML Algorithm
Active2024-2026Zewail City of Science
Developing quantum machine learning algorithms demonstrating 10x speedup over classical methods for optimization problems.
Neuromorphic AI Chip
Active2023-2025Zewail City of Science
Designing brain-inspired computing chip achieving 100x energy efficiency compared to traditional processors.
Selected Publications
Quantum Machine Learning for Optimization: A Hybrid Approach
Nature Machine Intelligence • 2024156 citations
Co-authors: Prof. David Zhang, Dr. Omar Farouk
Neuromorphic Computing: Brain-Inspired AI Chips
IEEE Transactions on Neural Networks • 202478 citations
Co-authors: Prof. Michael Chen, Dr. Amira Hassan
Quantum Annealing for Combinatorial Optimization in Drug Discovery
Science Advances • 2023145 citations
Co-authors: Prof. Sarah Mitchell, Dr. Tarek Abdel-Rahman
Expertise
Quantum ComputingNeuromorphic AIQuantum Machine LearningOptimizationAdvanced Algorithms
Education
PhD in Quantum Computing
MIT
2020
MSc in Physics
Oxford University
2016
BSc in Engineering Physics
Cairo University
2014
Awards & Honors
- Rising Star Award, Nature Machine Intelligence, 2024
- Young Scientist Award, World Economic Forum, 2023
- Best PhD Thesis Award, MIT, 2020