ERC Advanced Grant · 2023
Predictive algorithms for simulating quantum materials
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 materials, focusing in particular on experimentally measurable quantities. Currently, accurate methods for studying correlated quantum materials and their excitations are lacking. Established…
From the public funding record at EU CORDIS. Describes the funded project, not the reviews below.