Quantum simulations provide a fast-developing and powerful tool to realize the analysis of various physical systems of quantum nature and should be able to outperform classical computers and solve previously intractable problems. As such, many experimental setups are being proposed to validate the feasibility of the quantum simulation of different physical models. One prominent many-body quantum system in Nuclear Physics is the Agassi model, which is a two-level system that includes a combination of long range monopole-monopole and short range pairing interactions. An extended Agassi model that adds a more general pairing interaction, presents a very rich quantum phase diagram that gives rise to several quantum phase transitions (QPTs) of different character, making it of great interest in the field of QPTs. In this talk, we will present this model, propose an experimental setup for it's quantum simulation and analyze its QPTs using machine learning tools.