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Predicting Many Properties of a Quantum System From Very Few Measurements
Presenter
- Richard Kueng
May 21, 2021
IPAM
Hamiltonian and Markovian reservoir engineering for quantum systems
Presenter
- Sonia Schirmer
March 4, 2009
IMA
Harnessing Pertubation Theory to Engineer Fast High-Fidelity Quantum Operations
Presenter
- Hugo Ribeiro
July 12, 2022
IMSI
Machine-learning for materials and physics discovery through symbolic regression and kernel methods
Presenter
- Richard Hennig
September 26, 2019
IPAM
Nick Mayhall - Electronic structure theory via Classical and Quantum Computation - IPAM at UCLA
Presenter
- Nick Mayhall
November 7, 2023
IPAM
Manipulating quantum pathways of matter by coherent nonlinear spectroscopy with classical fields and entangled photons
Presenter
- Shaul Mukamel
March 4, 2009
IMA
Michele Ceriotti - Machine learning for atomic-scale modeling - potentials and beyond - IPAM at UCLA
Presenter
- Michele Ceriotti
May 3, 2023
IPAM
Cecelia Clementi - Coarse-graining classical and quantum systems - IPAM at UCLA
Presenter
- Cecelia Clementi
January 23, 2023
IPAM
Big data in materials science: New tools for getting insight into materials properties and functions
Presenter
- Claudia Draxl
September 30, 2016
IPAM
Marivi Fernandez Serra - Machine learning to improve the exchange and correlation functional in DFT
Presenter
- Marivi Fernandez-Serra
May 26, 2022
IPAM