CORDIS Project
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This project aims to enhance predictive algorithms for quantum many-body systems by developing advanced numerical tools. It combines various methods, including machine learning and tensor techniques, to better understand quantum materials and their properties.
This project seeks to advance the field of predictive algorithms for quantum many-body systems by developing a next-generation numerical toolset.
The project will focus on combining field-theory based methods for both perturbative and non-perturbative ab-initio and model systems with innovations in tensor techniques, quantum Monte Carlo, machine learning, and numerical analysis.By utilizing these innovative methods, we aim to deepen our understanding of quantum phases and exotic properties of ma…
UNIWERSYTET WARSZAWSKI
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