3 papers
cond-mat.mtrl-sci2021
Assessing the Accuracy of Machine Learning Thermodynamic Perturbation Theory: Density Functional Theory and Beyond
Basile Herzog, Mauricio Chagas da Silva, Bastien Casier +5
Machine learning thermodynamic perturbation theory (MLPT) is a promising approach to compute finite temperature properties when the goal is to compare several different levels of a…
quant-ph2020
Quantum control using quantum memory
Mathieu Roget, Basile Herzog, Giuseppe Di Molfetta
We propose a new quantum numerical scheme to control the dynamics of a quantum walker in a two dimensional space-time grid. More specifically, we show how, introducing a quantum me…
quant-ph2020
Searching via nonlinear quantum walk on the 2D-grid
Basile Herzog, Giuseppe Di Molfetta
We provide numerical evidence that the nonlinear searching algorithm introduced by Wong and Meyer \cite{meyer2013nonlinear}, rephrased in terms of quantum walks with effective nonl…