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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
Phase transitions in the complexity of simulating random shallow quantum circuits
Presenter
- Aram Harrow
April 1, 2021
IPAM
Daniel Liang - Learning Beyond Stabilizer States - IPAM at UCLA
Presenter
- Daniel Liang
October 18, 2023
IPAM
Optimization and Search of Energy Landscapes by Evolutionary Algorithms and Data Mining
Presenter
- Richard Hennig
October 2, 2017
IPAM
Dynamical low rank approximation in hierarchical tensor formats for electronic structure methods
Presenter
- Reinhold Schneider
October 16, 2013
IPAM
Non-commutative optimization: theory, algorithms and applications (or, can we prove P!=NP using gradient descent)
Presenter
- Avi Wigderson
April 21, 2020
IAS