3 papers
cond-mat.str-el2024
3-phases Confusion Learning
Filippo Caleca, Simone Tibaldi, Elisa Ercolessi
The use of Neural Networks in quantum many-body theory has seen a formidable rise in recent years. Among the many possible applications, one surely is to make use of their pattern…
cond-mat.str-el2024
Non-local quench spectroscopy of fermionic excitations in 1D quantum spin chains
Saverio Bocini, Filippo Caleca, Fabio Mezzacapo +1
The elementary excitations of quantum spin systems have generally the nature of weakly interacting bosonic quasi-particles, generated by local operators acting on the ground state.…
quant-ph2024
Scalable spin squeezing from critical slowing down in short-range interacting systems
Tommaso Roscilde, Filippo Caleca, Adriano Angelone +1
Long-range spin-spin interactions are known to generate non-equilibrium dynamics which can squeeze the collective spin of a quantum spin ensemble in a scalable manner, leading to s…