activity
20042025
most citedMultiple magnetic barriers in graphene

190 citations · 614 across the 28 of their papers we have counts for

collaborators

45 papers

cond-mat.mes-hall2025★ 1 cited

Keldysh field theory approach to direct electric and thermoelectric currents in quantum dots coupled to superconducting leads

Marco Uguccioni, Luca Dell'Anna

We study the transport properties of a quantum dot contacted to two superconducting reservoirs by means of the Keldysh field theory approach, showing how this technique allows us t…

cond-mat.mes-hall2024★ 3 cited

Keldysh field theory approach to electric and thermoelectric transport in quantum dots

Marco Uguccioni, Luca Dell'Anna

We compute the current and the noise power matrix in a quantum dot connected to two metallic reservoirs by using the Keldysh field theory approach, a non-equilibrium quantum field…

quant-ph2024★ 7 cited

Role of quantum correlations in daemonic expected utility

Gianluca Francica, Luca Dell'Anna

Fluctuations can challenge the possibility of improving work extraction from quantum correlations. This uncertainty in the work extraction process can be addressed resorting to the…

cond-mat.str-el2023

Josephson current through the SYK model

Luca Dell'Anna

We calculate the equilibrium Josephson current through a disordered interacting quantum dot described by a Sachdev-Ye-Kitaev model fully contacted by two BCS superconductors, such…

cond-mat.stat-mech2023★ 2 cited

Work fluctuation theorems with initial quantum coherence

Gianluca Francica, Luca Dell'Anna

Fluctuation theorems are fundamental results in nonequilibrium thermodynamics beyond the linear response regime. Among these, the paradigmatic Tasaki-Crooks fluctuation theorem rel…

quant-ph2023★ 12 cited

Optimal work extraction from quantum batteries based on the expected utility hypothesis

Gianluca Francica, Luca Dell'Anna

Work extraction in quantum finite systems is an important issue in quantum thermodynamics. The optimal work extracted is called ergotropy, and it is achieved by maximizing the aver…