output
19942026
most citedTraining Schrödinger's cat: quantum optimal control

779 citations

Showing 2009 · math.PRShow all

7 papers · 2 filters

math.PR2009★ 1 cited

Phenotypic diversity and population growth in fluctuating environment: a MBPRE approach

Clément Dombry, Christian Mazza, Vincent Bansaye

Organisms adapt to fluctuating environments by regulating their dynamics, and by adjusting their phenotypes to environmental changes. We model population growth using multitype bra…

math.PR2009★ 1 cited

Sampling the Fermi statistics and other conditional product measures

Alexandre Gaudilliere, Julien Reygner

Through a Metropolis-like algorithm with single step computational cost of order one, we build a Markov chain that relaxes to the canonical Fermi statistics for k non-interacting p…

math.PR2009

The eigenvalues and eigenvectors of finite, low rank perturbations of large random matrices

Florent Benaych-Georges, Raj Rao Nadakuditi

We consider the eigenvalues and eigenvectors of finite, low rank perturbations of random matrices. Specifically, we prove almost sure convergence of the extreme eigenvalues and app…

math.PR2009

Rectangular R-transform as the limit of rectangular spherical integrals

Florent Benaych-Georges

In this paper, we connect rectangular free probability theory and spherical integrals. In this way, we prove the analogue, for rectangular or square non-Hermitian matrices, of a re…

math.PR2009★ 4 cited

Approximation of quasi-stationary distributions for 1-dimensional killed diffusions with unbounded drifts

Denis Villemonais

The long time behavior of an absorbed Markov process is well described by the limiting distribution of the process conditioned to not be killed when it is observed. Our aim is to g…

math.PR2009

A Probabilistic Numerical Method for Fully Nonlinear Parabolic PDEs

Arash Fahim, Nizar Touzi, Xavier Warin

We consider the probabilistic numerical scheme for fully nonlinear PDEs suggested in \cite{cstv}, and show that it can be introduced naturally as a combination of Monte Carlo and f…