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Norbert Schuch - Lower bounding ground state energies through renormalization and tensor networks
Presenter
- Norbert Schuch
November 6, 2023
IPAM
Amira Abbas - On quantum backpropagation and information reuse - IPAM at UCLA
Presenter
- Amira Abbas
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
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
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