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Moo K. Chung - Tutorial: Topological Data Analysis on Dynamic Brain Networks - IPAM at UCLA
Presenter
- Moo Chung
February 12, 2024
IPAM
Philipp Schlegel - Insights from Comparative Connectomics in Drosophila - IPAM at UCLA
Presenter
- Philipp Schlegel
February 12, 2024
IPAM
Roger Melko - Language Models for Quantum Simulation - IPAM at UCLA
Presenter
- Roger Melko
October 20, 2023
IPAM
Amira Abbas - On quantum backpropagation and information reuse - IPAM at UCLA
Presenter
- Amira Abbas
October 20, 2023
IPAM
Jarrod McClean - The role of data, precomputation, and communication in a quantum learning landscape
Presenter
- Jarrod McClean
October 20, 2023
IPAM
Vojtěch Havlíček - Quantum Statistical Query Learning I of II - IPAM at UCLA
Presenter
- Vojtěch Havlíček
October 19, 2023
IPAM
Louis Schatzki - Quantum Statistical Query Learning II of II - IPAM at UCLA
Presenter
- Louis Schatzki
October 19, 2023
IPAM
Vedran Dunjko - Exponential separations between classical and quantum learners - IPAM at UCLA
Presenter
- Vedran Dunjko
October 19, 2023
IPAM
Carlos Bravo Prieto - Understanding quantum machine learning also requires rethinking generalization
Presenter
- Carlos Prieto
October 19, 2023
IPAM
Srinivasan Arunachalam - Overview of learning structured quantum states - IPAM at UCLA
Presenter
- Srinivasan Arunachalam
October 18, 2023
IPAM
Daniel Liang - Learning Beyond Stabilizer States - IPAM at UCLA
Presenter
- Daniel Liang
October 18, 2023
IPAM
Hsin-Yuan (Robert) Huang - Learning to predict arbitrary quantum processes - IPAM at UCLA
Presenter
- Hsin-Yuan Huang
October 18, 2023
IPAM