activity
20102026
most citedSurvey of the Hierarchical Equations of Motion in Tensor-Train format for non-Markovian quantum dynamics

24 citations · 33 across the 9 of their papers we have counts for

collaborators

9 papers

quant-ph2026

Vector Representation of Exact Soliton Dynamics in Multi-component Nonlinear Schrödinger Systems

Maxime Foucher, Laurent Delisle, Amine Jaouadi

Multicomponent nonlinear Schrödinger equations constitute fundamental models for coherent matter waves in multicomponent Bose--Einstein condensates, spinor quantum fluids, and vect…

nlin.SI2026

A Vector Bilinear Framework for Soliton Dynamics in Coupled Modified KdV Systems

Laurent Delisle, Amine Jaouadi

We investigate the integrable structure and soliton dynamics of a coupled modified Korteweg-de Vries (cmKdV) system with a real symmetric coupling matrix. We introduce a vector ref…

quant-ph2026

Reinforcement Learning for Robust Calibration of Multi-Qudit Quantum Gates

Amine Jaouadi, Sahel Ashhab

Higher-dimensional quantum systems, such as qudits, offer architectural and algorithmic advantages over qubits, but their increased spectral crowding and limited controllability re…

quant-ph2026

Harnessing Environmental Memory with Reinforcement Learning in Open Quantum Systems

Safae Gaidi, Abdallah Slaoui, Mohammed EL Falaki +1

Non-Markovian quantum dynamics, characterized by information backflow from the environment to the system, has emerged as a potential resource for quantum technologies. A key challe…

quant-ph2023

Re-exploring Control Strategies in a Non-Markovian Open Quantum System by Reinforcement Learning

Amine Jaouadi, Etienne Mangaud, Michèle Desouter-Lecomte

In this study, we reexamine a recent optimal control simulation targeting the preparation of a superposition of two excited electronic states in the UV range in a complex molecular…

quant-ph2023★ 24 cited

Survey of the Hierarchical Equations of Motion in Tensor-Train format for non-Markovian quantum dynamics

Etienne Mangaud, Amine Jaouadi, Alex Chin +1

This work is a pedagogical survey about the hierarchical equations of motion and their implementation with the tensor-train format. These equations are a great standard in non-pert…