Research project
Mutual Information Estimation in Quantum Many-Body Systems using Transformers
Investigating mutual information as a proxy to predict the difficulty of learning wave functions using Neural Quantum States in quantum many-body systems
This project was conducted as a research internship at Forschungszentrum Jülich’s PGI-8 Institute under the supervision of Dr. Markus Schmitt, from June 2024 to September 2024.
Project Overview
I investigated mutual information as a proxy to predict the difficulty of learning wave functions using Neural Quantum States (NQS) in quantum many-body systems using transformers. This research explored the intersection of quantum physics, information theory, and modern machine learning architectures.
I designed transformer architectures in Julia to estimate entropy and conditional entropy in discrete and continuous quantum systems and evaluated mutual information as a measure of Neural Quantum State learnability.
Useful links
Keywords
Julia · Transformers · Quantum Computing · Information Theory · Neural Networks