15 citations · 16 across the 4 of their papers we have counts for
5 papers · 1 filter
Tensor network methods for non-perturbative dynamics of open quantum systems
Thibaut Lacroix, Adam Burgess, Nicola Lorenzoni +11
The description of open quantum system dynamics beyond the perturbative treatment (usually associated with Markovian master equations) is a computationally challenging task due to…
DAMPyF: a Python implementation of the DAMPF method for the simulation of open-system dynamics
Nicola Lorenzoni, Susana F. Huelga, Martin B. Plenio
DAMPyF is an open-source Python implementation of the dissipation-assisted matrix product factorization (DAMPF) method, a tensor-network-based approach for the numerically exact si…
Heisenberg picture tensor network formalism for optical circuits
Dario Cilluffo, Matthias Kost, Nicola Lorenzoni +1
Tensor network formalisms have emerged as powerful tools for simulating quantum state evolution. While widely applied in the study of optical quantum circuits, such as Boson Sampli…
Simulating Gaussian Boson Sampling with Tensor Networks in the Heisenberg picture
Dario Cilluffo, Nicola Lorenzoni, Martin B. Plenio
Although the Schr{ö}dinger and Heisenberg pictures are equivalent formulations of quantum mechanics, simulations performed choosing one over the other can greatly impact the comput…
Systematic coarse-graining of environments for the non-perturbative simulation of open quantum systems
Nicola Lorenzoni, Namgee Cho, James Lim +3
Conducting precise electronic-vibrational dynamics simulations of molecular systems poses significant challenges when dealing with realistic environments composed of numerous vibra…