YoVDO

Pure State V-Representability of Density Matrix Embedding - Augmented Lagrangian

Offered By: Institute for Pure & Applied Mathematics (IPAM) via YouTube

Tags

Quantum Mechanics Courses Constrained Optimization Courses

Course Description

Overview

Explore a lecture on density matrix embedding theory (DMET) and its application to quantum systems. Delve into the challenges of achieving exact matching in DMET calculations and the proposed solution using an augmented Lagrangian method. Learn about the alm-DMET approach, which relaxes the non-interacting pure-state v-representability assumption and allows for pure states with arbitrary occupation profiles. Discover how this method improves numerical accuracy compared to conventional self-consistent DMET techniques and its potential impact on treating strong correlation effects in large quantum systems.

Syllabus

Fabian Faulstich - pure state v-representability of density matrix embedding - augmented lagrangian


Taught by

Institute for Pure & Applied Mathematics (IPAM)

Related Courses

Constrained And Unconstrained Optimization
Indian Institute of Technology, Kharagpur via Swayam
Constrained and Unconstrained Optimization
NPTEL via YouTube
Physics of Functional Networks - Henrik Ronellenfitsch
Institute for Advanced Study via YouTube
Trust Region & Proximal Policy Optimization
Pascal Poupart via YouTube
Calculus 3 Lecture - Constrained Optimization with LaGrange Multipliers
Professor Leonard via YouTube