92 citations · 214 across the 7 of their papers we have counts for
7 papers
Digital Quantum Simulation, Learning of the Floquet Hamiltonian, and Quantum Chaos of the Kicked Top
Tobias Olsacher, Lorenzo Pastori, Christian Kokail +2
The kicked top is one of the paradigmatic models in the study of quantum chaos~[F.~Haake et al., \emph{Quantum Signatures of Chaos (Springer Series in Synergetics vol 54)} (2018)].…
Characterization and Verification of Trotterized Digital Quantum Simulation via Hamiltonian and Liouvillian Learning
Lorenzo Pastori, Tobias Olsacher, Christian Kokail +1
The goal of digital quantum simulation is to approximate the dynamics of a given target Hamiltonian via a sequence of quantum gates, a procedure known as Trotterization. The qualit…
Probing infinite many-body quantum systems with finite-size quantum simulators
Viacheslav Kuzmin, Torsten V. Zache, Christian Kokail +4
Experimental studies of synthetic quantum matter are necessarily restricted to approximate ground states prepared on finite-size quantum simulators. In general, this limits their r…
Signatures of topology in quantum quench dynamics and their interrelation
Lorenzo Pastori, Simone Barbarino, Jan Carl Budich
Motivated by recent experimental progress in the study of quantum systems far from equilibrium, we investigate the relation between several dynamical signatures of topology in the…
Disentangling Sources of Quantum Entanglement in Quench Dynamics
Lorenzo Pastori, Markus Heyl, Jan Carl Budich
Quantum entanglement may have various origins ranging from solely interaction-driven quantum correlations to single-particle effects. Here, we explore the dependence of entanglemen…
Generalized Transfer Matrix States from Artificial Neural Networks
Lorenzo Pastori, Raphael Kaubruegger, Jan Carl Budich
Identifying variational wave functions that efficiently parametrize the physically relevant states in the exponentially large Hilbert space is one of the key tasks towards solving…
Chiral Topological Phases from Artificial Neural Networks
Raphael Kaubruegger, Lorenzo Pastori, Jan Carl Budich
Motivated by recent progress in applying techniques from the field of artificial neural networks (ANNs) to quantum many-body physics, we investigate as to what extent the flexibili…