40 citations · 242 across the 42 of their papers we have counts for
7 papers · 2 filters
Dimensional reduction of the Dirac equation in arbitrary spatial dimensions
Davide Lonigro, Rocco Maggi, Giuliano Angelone +5
We investigate the general properties of the dimensional reduction of the Dirac theory, formulated in a Minkowski spacetime with an arbitrary number of spatial dimensions. This is…
On the classicality of quantum dephasing processes
Davide Lonigro, Dariusz Chruściński
We analyze the multitime statistics associated with pure dephasing systems repeatedly probed with sharp measurements, and search for measurement protocols whose statistics satisfie…
Dimensional reduction of the Dirac theory
Giuliano Angelone, Elisa Ercolessi, Paolo Facchi +5
We perform a reduction from three to two spatial dimensions of the physics of a spin-1/2 fermion coupled to the electromagnetic field, by applying Hadamard's method of descent. We…
On Markovianity and classicality in multilevel spin-boson models
Dariusz Chruściński, Samaneh Hesabi, Davide Lonigro
We provide a detailed discussion about the unitary and reduced evolution induced by family of Hamiltonian models describing a multilevel system, with a ground state and a possibly…
Excitation-damping quantum channels
Davide Lonigro, Dariusz Chruściński
We study a class of quantum channels describing a quantum system, split into the direct sum of an excited and a ground sector, undergoing a one-way transfer of population from the…
Quantum regression in dephasing phenomena
Davide Lonigro, Dariusz Chruściński
We investigate the validity of quantum regression for a family of quantum Hamiltonians on a multipartite system leading to phase-damping reduced dynamics. After finding necessary a…
Quantum regression beyond the Born-Markov approximation for generalized spin-boson models
Davide Lonigro, Dariusz Chruściński
The quantum regression formula for an open quantum system consists in an infinite hierarchy of conditions for its multi-time correlation functions, thus requiring full access to th…