activity
20172021
most citedOn a stochastic Hardy-Littlewood-Sobolev inequality with application to Strichartz estimates for the white noise dispersion

3 citations · 3 across the 3 of their papers we have counts for

collaborators

10 papers

math.AP2021

Numerical Simulations on Nonlinear Quantum Graphs with the GraFiDi Library

Christophe Besse, Romain Duboscq, Stefan Le Coz

Nonlinear quantum graphs are metric graphs equipped with a nonlinear Schr{ö}dinger equation. Whereas in the last ten years they have known considerable developments on the theoreti…

math.AP2021

Entropy minimization for many-body quantum systems

Romain Duboscq, Olivier Pinaud

The problem considered here is motivated by a work by B. Nachtergaele and H.T. Yau where the Euler equations of fluid dynamics are derived from manybody quantum mechanics, see [10]…

quant-ph2020

Quantum control beyond the adiabatic regime in 2D curved matter-wave guides

François Impens, Romain Duboscq, David Guéry-Odelin

The propagation of matter waves in curved geometry is relevant for electrons in nano-wires, solid-state physics structures and atomtronics. Curvature effects are usually addressed…

math-ph2019

Constrained minimizers of the von Neumann entropy and their characterization

Romain Duboscq, Olivier Pinaud

We consider in this work the problem of minimizing the von Neumann entropy under the constraints that the density of particles, the current, and the kinetic energy of the system is…

math.PR2019

The It{ô}-Tanaka Trick: a non-semimartingale approach

Laure Coutin, Romain Duboscq, Anthony Réveillac

In this paper we provide an It{ô}-Tanaka-Wentzell trick in a non semimartingale context. We apply this result to the study of a fractional SDE with irregular drift coefficient.

math-ph2019

A constrained optimization problem in quantum statistical physics

Romain Duboscq, Olivier Pinaud

In this paper, we consider the problem of minimizing quantum free energies under the constraint that the density of particles is fixed at each point of Rd, for any d 1. We ar…