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Amira Abbas - On quantum backpropagation and information reuse - IPAM at UCLA
Presenter
- Amira Abbas
October 20, 2023
IPAM
Louis Schatzki - Quantum Statistical Query Learning II of II - IPAM at UCLA
Presenter
- Louis Schatzki
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
Marika Maria Kieferova - Generating Approx. Ground State of Molecules Using Quantum Machine Learning
Presenter
- Marika Kieferova
October 18, 2023
IPAM
Tongyang Li - On Quantum Speedups for Nonconvex Optimization via Quantum Tunneling Walks
Presenter
- Tongyang Li
October 18, 2023
IPAM
Jens Eisert - Do quantum computers have application in machine learning & combinatorial optimization
Presenter
- Jens Eisert
October 17, 2023
IPAM
Matthias Caro - Classical Verification of Quantum Learning - IPAM at UCLA
Presenter
- Matthias Caro
October 17, 2023
IPAM
Marco Cerezo - A Unified Theory of Barren Plateaus for Deep Parametrized Quantum Circuits
Presenter
- Marco Cerezo
October 17, 2023
IPAM
Zoe Holmes - Exponential Concentration in Quantum Generative Modeling and Quantum Kernel Methods
Presenter
- Zoe Holmes
October 17, 2023
IPAM