Czischek Group:
APRIQuOt
Artificial and Physically Realizable Intelligence for Quantum at uOttawa
About us
Our research focuses on the intersection of artificial neural networks and quantum science. Current projects focus on using artificial and spiking neural networks to enhance classical numerical simulations of quantum many-body systems, to optimize experimental protocols and setups for quantum computation and quantum simulation, or to extract quantum state representations from experimental measurement data. We further explore potential advances of using quantum devices for optimization and machine learning tasks.
Our Research Focus
Large Language Models for Quantum State Representation
Learn More →Neutral Atoms for Crystal Structure Prediction
Learn More →Reinforcement Learning for Quantum Optimal Control
Learn More →Solving the Schrödinger Equation with Artificial Neural Networks
Learn More →Adaptive Quantum State Tomography Using Machine Learning
Learn More →(Spiking) Neural Network Quantum States
Learn More →Simulations for Topological Many-Body Systems
Learn More →
We gratefully acknowledge support from:
