Msc's Thesis: Quantum Simulation of spin systems on quantum computersThis study focuses on the characterization and measurement of chirality in quantum spin systems. The research explores efficient quantum simulation techniques and measurement strategies, including the use of the cycle test method and quantum phase estimation. The proposed methods establish connections between classical and quantum descriptions of chirality and offer insights into chiral phenomena in both product states and entangled states. The findings pave the way for the efficient simulation of magnetic materials with chiral properties and provide a foundation for future investigations in quantum information and technology.

QUEST2D - Excitations in 2D materials. To develop a numerical method, with the aid of artificial intelligence techniques, to approach the problem of deinterlacing the bands, necessary for the calculation of non-linear response functions based on DFT, using the "berry" software. It is intended to implement this numerical method based on artificial intelligence and written in python in the "berry" suite.

Assessing the class of functions learnt by Deep Learning models on low-level jet data formats