Quantum Dissipative Dynamics with Machine Learning
Abstract
In this talk, I will present our work on Machine Learning based Quantum Dissipative Dynamics methods such as AIQD[1] and OSTL[2]. I will also talk about our recently released MLQD package (GitHub) and QDDSET-1 (GitHub) database. The talk will be followed by a tutorial demonstrating the applicability of our methods on our MLatom@XACS cloud computing platform.
We are pleased to announce the launch of Seminars on Machine Learning in Quantum Chemistry and Quantum Computing for Quantum Chemistry (SMLQC) that are flexible online lectures and tutorials for highlighting recent developments and providing hands-on experience on the title topics as well as networking opportunities. SMLQC sessions are organized to bridge Symposia on Machine Learning and Quantum Chemistry, the first one held in 2021 in Xiamen, China (online) and the second one to be held in 2023 in Uppsala, Sweden (hybrid). The real-time interaction is enabled via a dedicated Slack workspace which already has many researchers active in the title fields.
Machine Learning and Quantum Computing for Quantum Molecular Dynamics (MLQCDyn)
Sept. 5 – 9, 2022, CECAM-FR-MOSER
The Machine Learning and Quantum Computing for Quantum Molecular Dynamics [MLQCDyn]school aims at offering state-of-the-art training in quantum molecular dynamics (QMD), machine learning (ML), and quantum computing (QC) to early-stage scientists, including PhD and postdoctoral researchers coming mainly from the molecular dynamics community. The MLQCDyn school is meant to be part of a Thematic Program of the Pascal Institute of the University Paris-Saclay that will span a total of 4 weeks and will be dedicated to the discussion of the implications of machine learning and quantum computing in the field of quantum molecular dynamics (funding for the thematic program has already been approved). The MLQCDyn school will open the Thematic Program, and some of the participants in the school (lecturers and students) will also remain for one or more of the following weeks. Such an event will strengthen the collaboration between Pascal Institute and the CECAM.
