Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

YouTube

Targeting Excited States with Quantum Monte Carlo - IPAM at UCLA

Institute for Pure & Applied Mathematics (IPAM) via YouTube

Overview

Explore a 27-minute lecture on targeting excited states with quantum Monte Carlo presented by Claudia Filippi from Universiteit Twente at IPAM's Monte Carlo and Machine Learning Approaches in Quantum Mechanics Workshop. Delve into the application of real-space quantum Monte Carlo methods for excited states, focusing on properties beyond total energies. Discover the performance of these methods when combined with various Jastrow-Slater wave functions and optimized variational and structural parameters. Examine the use of selected-configuration-interaction schemes for generating compact determinantal components, leading to efficient and accurate computations of ground- and excited-state structures and excitation energies at the variational Monte Carlo level. Investigate different variational principles in quantum Monte Carlo for targeting states involved in excitations. Gain insights into the challenges and advancements in this field, applicable to increasingly large molecular systems.

Syllabus

Claudia Filippi - Targeting excited states with quantum Monte Carlo - IPAM at UCLA

Taught by

Institute for Pure & Applied Mathematics (IPAM)

Reviews

Start your review of Targeting Excited States with Quantum Monte Carlo - IPAM at UCLA

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Someone learning on their laptop while sitting on the floor.