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Nick Mayhall - Electronic structure theory via Classical and Quantum Computation - IPAM at UCLA
Presenter
- Nick Mayhall
November 7, 2023
IPAM
Shankar Balasubramanian - Ultraslow dynamics, fragile fragmentation, exotic entanglement
Presenter
- Shankar Balasubramanian
November 6, 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
Vedran Dunjko - Exponential separations between classical and quantum learners - IPAM at UCLA
Presenter
- Vedran Dunjko
October 19, 2023
IPAM
Carlos Bravo Prieto - Understanding quantum machine learning also requires rethinking generalization
Presenter
- Carlos Prieto
October 19, 2023
IPAM
From single neurons to complex networks using algebraic topology
Presenter
- Lida Kanari
October 19, 2023
ICERM
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