Event Videos
Juan Felipe Carrasquilla: Neural autoregressive toolbox for many-body physics
Read More
Frank Verstraete: From Boltzmann Machines to Tensor networks for simulating quantum many body systems
Read More
Federico Becca: Low-energy spectrum of frustrated spin models (from a human-learning process)
Read More
Roger Melko: Machine Learning for Quantum Error Correction
Read More
Sophia Economou: Toward efficient variational quantum algorithms
Read More
Ryan Babbush: Quantum Chemistry on the Google Sycamore Quantum Processor
Read More
Antonio Mezzacapo: Neural-network estimators and locally-biased classical shadows for Quantum Chemistry
Read More
Kenny Choo: Frustrated magnets and fermions with neural network quantum states
Read More
Bryan Clark: VMC in the era of ML: From wave-functions for Fermions to supervised wave-function optimization
Read More
- Previous Page
- Viewing
- Next Page