Videos

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

Presenter
March 31, 2022
Abstract
Recorded 31 March 2022. Fabian Faulstich of the University of California, Berkeley, Mathematics, presents "On the pure state v-representability of density matrix embedding theory—an augmented lagrangian approach" at IPAM's Multiscale Approaches in Quantum Mechanics Workshop. Abstract: Density matrix embedding theory (DMET) is a quantum embedding theory de-signed to treat strong correlation eects in large quantum systems while maintaining reasonable computation costs. The idea behind DMET is that in complex systems the region of interest often forms merely one (small) part of a much larger system. It is therefore natural to think about numerically treating the system with two dierent approaches|high-level calculations on the active regions of interest, and low-level calculation on the respective environments|and then `glue' the obtained results to-gether. A key component in the DMET formalism is the matching of density matrix blocks obtained from the high-level and low-level theories; the ability to achieve exact match-ing is an important issue in the DMET procedure since its inception as, in practical calculations, this is sometimes not achievable. In such a case, the global band gap of the low-level theory vanishes, and this can require additional numerical considerations in order to obtain accurate results. We nd that both the violation of the exact match-ing condition and the vanishing low-level gap are related to the assumption that the high-level density matrix blocks are non-interacting pure-state v-representable (NI-PS-V), which assumes that the low-level density matrix is constructed following the Aufbau principle where the orbitals are obtained from an auxiliary low-level system. A potential remedy is to relax the NI-PS-V assumption in DMET and allow for pure states following arbitrary occupation proles. This seems to be a daunting problem as the number of distinct occupation proles is combinatorially large. We propose to use an augmented Lagrangian method, coupled with a projected gradient descent method to solve this modied constrained optimization problem. The inclusion of this opti-mization over all possible occupation proles into the self-consistent DMET work ow is christened alm-DMET. The alm-DMET method relaxes the NI-PS-V assumption, which allows the pure state to follow any occupation prole|possibly violating the Aufbau principle|while yielding an idempotent low-level density matrix. Numer-ical evidence shows that this relaxation of the Aufbau principle indeed allows the alm-DMET method to yield exact matching, which improves the numerical accuracy compared to conventional self-consistent DMET methods. Learn more online at: http://www.ipam.ucla.edu/programs/workshops/workshop-i-multiscale-approaches-in-quantum-mechanics/?tab=schedule