Multiscale Approaches in Quantum Mechanics Workshop 2022
Institute for Pure & Applied Mathematics (IPAM) via YouTube
Overview
Syllabus
Alexandre Tkatchenko - Multiscale Approaches to Quantum Mechanics: Vacuum, Atoms, Engineering-Scale
Giulia Galli - Embedding theories for quantum simulations on hybrid classical-quantum architectures
Angel Rubio - Polaritonic Quantum Materials: a first principles QEDFT perspective - IPAM at UCLA
Dominika Zgid - Post-DFT Green's function embedding - IPAM at UCLA
Michael Lindsey - Quantum embedding with lower bounds - IPAM at UCLA
Lin Lin - Quantum impurity and quantum embedding theory - IPAM at UCLA
Andrew Millis - Twisted Transition Metal Dicalcogenides: Tests of Quantum Embedding and Theories
Gero Friesecke - Fast algorithm for the strong-interaction limit of density functional theory
Reinhold Schneider - Tensor Networks (QC-DMRG) in a Complete Active Space Coupled Cluster Method
Laura Gagliardi - Localized-Wave-Function in Quantum Chemistry and Extension to Quantum Computers
Michael Weinstein - Discrete honeycombs, rational edges and edge states - IPAM at UCLA
Mitchell Luskin- Electronic Observables for Relaxed 2D van der Waals Heterostructures at Moiré Scale
Hakan Tureci - Quantum electrodynamic modeling of superconducting quantum systems - IPAM at UCLA
Christoph Ortner - Modelling Atomic Properties with the Atomic Cluster Expansion - IPAM at UCLA
Alejandro Rodriguez - Physical bounds on wave phenom as quadratically constrained quadratic programs
Jianfeng Lu - Taming the dynamical sign problem in diagrammatic algorithms for open quantum systems
Fabian Faulstich - pure state v-representability of density matrix embedding - augmented lagrangian
Stefan Chmiela - Non-locality in machine learning force fields - IPAM at UCLA
Martin Stöhr - More is Different NonScalability of Approximation in Modeling Noncovalent Interaction
George Booth - A rigorous framework for embedding realistic interacting quantum systems - IPAM UCLA
Matteo Gori - 2nd-Quantization of Many-Body Dispersion Formalism: Modeling of Million Atom Systems
Mihail Bogojeski - Message passing neural networks for atomistic systems: Molecules - IPAM at UCLA
Marcel Langer - Message passing neural networks for atomistic systems: Materials - IPAM at UCLA
Timothy Gould - Multiscale approaches to dispersion modelling - IPAM at UCLA
Prineha Narang - Shining New Light on Quantum Matter - IPAM at UCLA
Taught by
Institute for Pure & Applied Mathematics (IPAM)