activity
20162026
most citedEngineering interactions and anyon statistics by multicolor lattice-depth modulations

49 citations · 153 across the 10 of their papers we have counts for

collaborators

10 papers

quant-ph2026

Benchmarking a machine-learning differential equations solver on a neutral-atom logical processor

Pauline Mathiot, Elio Garnaoui, Axel-Ugo Leriche +37

We report on a performance comparison between physical and logical computations on a prototypical machine-learning application: solving differential equations using quantum kernel…

quant-ph2024

Compressed-sensing Lindbladian quantum tomography with trapped ions

Dmitrii Dobrynin, Lorenzo Cardarelli, Markus Müller +1

Characterizing the dynamics of quantum systems is a central task for the development of quantum information processors (QIPs). It serves to benchmark different devices, learn about…

cond-mat.quant-gas2024★ 5 cited

Quantum Monte Carlo and perturbative study of two-dimensional Bose-Fermi mixtures

Jacopo D'Alberto, Lorenzo Cardarelli, Davide Emilio Galli +2

We derive analytically the leading beyond-mean field contributions to the zero-temperature equation of state and to the fermionic quasi-particle residue and effective mass of a dil…

cond-mat.quant-gas2023

Topological stripe state in an extended Fermi-Hubbard model

Sergi Julià-Farré, Lorenzo Cardarelli, Maciej Lewenstein +2

Interaction-induced topological systems have attracted a growing interest for their exotic properties going beyond the single-particle picture of topological insulators. In particu…

cond-mat.quant-gas2022★ 1 cited

Accessing the topological Mott insulator in cold atom quantum simulators with realistic Rydberg dressing

Lorenzo Cardarelli, Sergi Julià-Farré, Maciej Lewenstein +2

The interplay between many-body interactions and the kinetic energy gives rise to rich phase diagrams hosting, among others, interaction-induced topological phases. These phases ar…

quant-ph2022★ 38 cited

Quantum Error Correction with Quantum Autoencoders

David F. Locher, Lorenzo Cardarelli, Markus Müller

Active quantum error correction is a central ingredient to achieve robust quantum processors. In this paper we investigate the potential of quantum machine learning for quantum err…

cond-mat.quant-gas2019★ 16 cited

Deconfining disordered phase in two-dimensional quantum link models

Lorenzo Cardarelli, Sebastian Greschner, Luis Santos

We explore the ground-state physics of two-dimensional spin- quantum link models, one of the simplest non-trivial lattice gauge theories with fermionic matter within ex…

cond-mat.quant-gas2018★ 22 cited

Probing the exchange statistics of one-dimensional anyon models

Sebastian Greschner, Lorenzo Cardarelli, Luis Santos

We propose feasible scenarios for revealing the modified exchange statistics in one-dimensional anyon models in optical lattices based on an extension of the multicolor lattice-dep…

cond-mat.quant-gas2017★ 22 cited

Hidden order and symmetry protected topological states in quantum link ladders

Lorenzo Cardarelli, Sebastian Greschner, Luis Santos

We show that whereas spin-1/2 one-dimensional U(1) quantum-link models (QLMs) are topologically trivial, when implemented in ladder-like lattices these models may present an intrig…

cond-mat.quant-gas2016★ 49 cited

Engineering interactions and anyon statistics by multicolor lattice-depth modulations

Lorenzo Cardarelli, Sebastian Greschner, Luis Santos

We show that a multicolor modulation of the depth of an optical lattice allows for a flexible independent control of correlated hopping, occupation-dependent gauge fields, effectiv…