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Jacob Miller - Synergy Between Quantum Circuits and Tensor Networks - IPAM at UCLA
Presenter
- Jacob Miller
November 8, 2023
IPAM
Lucas Wagner - Compact representations of excited states from QMC, as data for low-energy models
Presenter
- Lucas Wagner
May 26, 2022
IPAM
Many-Body Molecular Dynamics for Chemically Accurate Simulations from the Gas to the Condensed Phase
Presenter
- Francesco Paesani
February 26, 2015
IPAM
A fast and stable method for rotating spherical harmonic expansions
Presenter
- Zydrunas Gimbutas
August 4, 2010
IMA
Bill Fefferman - Have we seen a demonstration of experimental quantum advantage? - IPAM at UCLA
Presenter
- Bill Fefferman
November 9, 2023
IPAM
Leo Zhou - Quantum Advantages in Energy Minimization - IPAM at UCLA
Presenter
- Leo Zhou
November 9, 2023
IPAM
James Kermode - Multiscale and data-driven methods for the simulation of material failure
Presenter
- James Kermode
April 19, 2023
IPAM
Kristin Persson - Data-Driven Design for Energy Materials - IPAM at UCLA
Presenter
- Kristin Persson
January 24, 2023
IPAM
Reinhold Schneider - Tensor Networks (QC-DMRG) in a Complete Active Space Coupled Cluster Method
Presenter
- Reinhold Schneider
March 29, 2022
IPAM
Machine-learning for materials and physics discovery through symbolic regression and kernel methods
Presenter
- Richard Hennig
September 26, 2019
IPAM
Matthew Foulkes - Approximating Many-Electron Wave Functions using Neural Networks
Presenter
- Matthew Foulkes
May 26, 2022
IPAM
Virginie Ehrlacher - Multi-center decomposition of molecular densities: a mathematical perspective
Presenter
- Virginie Ehrlacher
May 4, 2022
IPAM