18 citations · 18 across the 3 of their papers we have counts for
3 papers
Unveiling hidden features of the Kitaev model through a complex-network analysis
Guillem Llodrà, Roberta Zambrini, Gian Luca Giorgi
We introduce a density matrix-based network analysis to explore the ground state of the Kitaev chain, uncovering previously hidden structural and entanglement features. This approa…
Quantum reservoir computing in atomic lattices
Guillem Llodrà, Pere Mujal, Roberta Zambrini +1
Quantum reservoir computing (QRC) exploits the dynamical properties of quantum systems to perform machine learning tasks. We demonstrate that optimal performance in QRC can be achi…
Benchmarking the role of particle statistics in Quantum Reservoir Computing
Guillem Llodrà, Christos Charalambous, Gian Luca Giorgi +1
Quantum reservoir computing is a neuro-inspired machine learning approach harnessing the rich dynamics of quantum systems to solve temporal tasks. It has gathered attention for its…