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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
Maria Schuld - How to rethink quantum machine learning - IPAM at UCLA
Presenter
- Maria Schuld
October 16, 2023
IPAM
Juan Carrasquilla - Training Binary Neural Networks in Quantum Superposition - IPAM at UCLA
Presenter
- Juan Carrasquilla
October 16, 2023
IPAM
Peng Wang - Electron Ptychography: Emerging Computational Microscopy for Physical/Biological Science
Presenter
- Peng Wang
October 28, 2022
IPAM
Yonina Eldar - Model Based Deep Learning with Application to Super Resolution - IPAM at UCLA
Presenter
- Yonina Eldar
October 27, 2022
IPAM
Soledad Villar - Introduction to equivariant machine learning - IPAM at UCLA
Presenter
- Soledad Villar
October 27, 2022
IPAM
Houlin Xin - AI inroads in imaging sciences for materials research - IPAM at UCLA
Presenter
- Houlin Xin
October 24, 2022
IPAM
Carlos Bravo Prieto - Understanding quantum machine learning also requires rethinking generalization
Presenter
- Carlos Prieto
October 19, 2023
IPAM
Daniel Liang - Learning Beyond Stabilizer States - IPAM at UCLA
Presenter
- Daniel Liang
October 18, 2023
IPAM
Ryan Sweke - Should we use parameterized quantum circuits for machine learning? - IPAM at UCLA
Presenter
- Ryan Sweke
October 17, 2023
IPAM