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Maria Schuld - How to rethink quantum machine learning - IPAM at UCLA
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Mathematical Aspects of Quantum Learning Workshop 2023
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- 1 Maria Schuld - How to rethink quantum machine learning - IPAM at UCLA
- 2 Amira Abbas - On quantum backpropagation and information reuse - IPAM at UCLA
- 3 Nathan Wiebe - Quantum Machine Learning - IPAM at UCLA
- 4 Zoe Holmes - Exponential Concentration in Quantum Generative Modeling and Quantum Kernel Methods
- 5 Marco Cerezo - A Unified Theory of Barren Plateaus for Deep Parametrized Quantum Circuits
- 6 Yihui Quek - Signal and noise: learning with random quantum circuits and other agents of chaos
- 7 Jens Eisert - Do quantum computers have application in machine learning & combinatorial optimization
- 8 Roger Melko - Language Models for Quantum Simulation - IPAM at UCLA
- 9 Ryan Sweke - Should we use parameterized quantum circuits for machine learning? - IPAM at UCLA
- 10 Learning of neural networks w/ quantum computers & learning of quantum states with graphical models
- 11 Vedran Dunjko - Exponential separations between classical and quantum learners - IPAM at UCLA
- 12 Hsin-Yuan (Robert) Huang - Learning to predict arbitrary quantum processes - IPAM at UCLA
- 13 Juan Carrasquilla - Training Binary Neural Networks in Quantum Superposition - IPAM at UCLA
- 14 Matthias Caro - Classical Verification of Quantum Learning - IPAM at UCLA
- 15 Jarrod McClean - The role of data, precomputation, and communication in a quantum learning landscape
- 16 Carlos Bravo Prieto - Understanding quantum machine learning also requires rethinking generalization
- 17 Marika Maria Kieferova - Generating Approx. Ground State of Molecules Using Quantum Machine Learning
- 18 Vojtěch Havlíček - Quantum Statistical Query Learning I of II - IPAM at UCLA
- 19 Daniel Liang - Learning Beyond Stabilizer States - IPAM at UCLA
- 20 Tongyang Li - On Quantum Speedups for Nonconvex Optimization via Quantum Tunneling Walks
- 21 Louis Schatzki - Quantum Statistical Query Learning II of II - IPAM at UCLA
- 22 Srinivasan Arunachalam - Overview of learning structured quantum states - IPAM at UCLA
