C02

The main goal of this project is to combine different methodologies effectively, leveraging their strengths against weaknesses. By integrating hybrid stochastic techniques with machine learning, multidimensional Tensor Networks, and the Iterative Configuration Expansion from quantum chemistry, our long term goal is to create a powerful approach to challenging quantum many-body systems. The objective is to unlock investigations of currently inaccessible quantum many-body systems at finite chemical potential, particularly focusing on QCD at finite baryon density and models for high-Tc superconductors.