Pioneering the intersection of quantum algorithms and artificial intelligence to solve complex problems in molecular simulation and optimization.
MIT Quantum Lab • 2018-2022
Thesis: "Quantum Neural Networks for Molecular Property Prediction"
Stanford University • 2016-2018
ETH Zurich • 2012-2016
Google Quantum AI • 2022-Present
Leading research on quantum machine learning applications
IBM Research • 2020-2022
DeepMind • 2018-2020
2023 • Quantum Computing
For pioneering work in quantum algorithm optimization
2021 • Technology
2020 • Science
Developing novel algorithms that leverage quantum properties for enhanced machine learning capabilities
Applying quantum computing to simulate molecular structures and chemical reactions
Interactive 3D model
Holographic visualization
3D protein folding
An open-source framework for developing quantum machine learning models with seamless integration with classical ML libraries.
A platform for accelerated drug discovery using quantum computing to simulate molecular interactions and predict drug efficacy.
A quantum key distribution network implementation for ultra-secure communication protocols resistant to quantum attacks.
A hybrid quantum-classical neural network architecture for solving complex optimization problems in robotics and automation.