Artificial intelligence for representing and characterizing quantum systems
The research explores using Artificial Intelligence to efficiently represent and characterize large quantum systems where traditional methods fail due to exponential complexity. It investigates how Machine Learning, Deep Learning, and Language Models can predict quantum properties and reconstruct quantum states from data. The goal is to create scalable, data-driven tools for benchmarking and understanding complex matter.