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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
Juan Carrasquilla - Training Binary Neural Networks in Quantum Superposition - IPAM at UCLA
Presenter
- Juan Carrasquilla
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
Vojtěch Havlíček - Quantum Statistical Query Learning I of II - IPAM at UCLA
Presenter
- Vojtěch Havlíček
October 19, 2023
IPAM
Jarrod McClean - The role of data, precomputation, and communication in a quantum learning landscape
Presenter
- Jarrod McClean
October 20, 2023
IPAM
Roger Melko - Language Models for Quantum Simulation - IPAM at UCLA
Presenter
- Roger Melko
October 20, 2023
IPAM
Vedran Dunjko - Exponential separations between classical and quantum learners - IPAM at UCLA
Presenter
- Vedran Dunjko
October 19, 2023
IPAM