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Hsin-Yuan (Robert) Huang - Learning to predict arbitrary quantum processes - IPAM at UCLA
Presenter
- Hsin-Yuan Huang
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
Ryan Sweke - Should we use parameterized quantum circuits for machine learning? - IPAM at UCLA
Presenter
- Ryan Sweke
October 17, 2023
IPAM
Maria Schuld - How to rethink quantum machine learning - IPAM at UCLA
Presenter
- Maria Schuld
October 16, 2023
IPAM
Yihui Quek - Signal and noise: learning with random quantum circuits and other agents of chaos
Presenter
- Yihui Quek
October 16, 2023
IPAM
Low-rank neural connectivity for the discrimination of temporal patterns.
Presenter
- Sean Escola
September 21, 2023
ICERM