Program Manager (Institut Pascal): Bamissa Sangaré
The MLQC4Dyn thematic program aims to explore the current and future contributions of machine learning (ML) and quantum computing (QC) in the field of quantum molecular dynamics (QMD).
MLQC4Dyn will constitute a unique opportunity for the dialogue between specialists of conventional approaches for QMD and those in machine learning and quantum computing oriented toward QMDs.
It will also include a tutorial (co-sponsored by CECAM), offering state-of-the-art training in QMD, ML, and QC to early-stage scientists, including PhD and postdoctoral researchers coming from the molecular dynamics community.
The discussions and presentations will address the challenges in both time-dependent and independent simulations of systems with ever-increasing complexity and how new methods based on ML and QC may contribute to QMD.
The main goals of the MLQC4Dyn Thematic Program are:
Identify the major challenges in QMD
Assess the current and future impact of ML and QC for QMD
Discuss practical aspects, including software development and data availability
Provide specialized training for PhD students and postdocs
Updated program is available on this link : https://indico.ijclab.in2p3.fr/event/8006/