Quantum Machine Learning
INVITED · Y09 · ID: 381961
Presentations
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Trainability of Quantum Neural Networks: Barren Plateaus and Scalability
Invited
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Presenters
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Patrick Coles
- Los Alamos National Laboratory
- Theoretical Division, Los Alamos National Laboratory
- T-Division, Los Alamos National Laboratory
Authors
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Patrick Coles
- Los Alamos National Laboratory
- Theoretical Division, Los Alamos National Laboratory
- T-Division, Los Alamos National Laboratory
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Which classes of functions can quantum machine learning models actually learn?
Invited
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Presenters
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Maria Schuld
- Xanadu
Authors
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Maria Schuld
- Xanadu
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Applications and experimental realizations of quantum generative adversarial networks
Invited
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Presenters
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Seth Lloyd
- Massachusetts Institute of Technology
- Massachusetts Institute of Technology MIT
- MIT
Authors
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Seth Lloyd
- Massachusetts Institute of Technology
- Massachusetts Institute of Technology MIT
- MIT
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Giacomo De Palma
- Massachusetts Institute of Technology MIT
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Bobak Kiani
- Massachusetts Institute of Technology MIT
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Milad Marvian
- Physics/Electrical Engineering, University of New Mexico
- MIT
- MIT Lincoln Laboratory
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Classical simulation of quantum circuits with neural-network states
Invited
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Presenters
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Giuseppe Carleo
- EPFL
- Institute of Physics, École Polytechnique Fédérale de Lausanne (EPFL)
- EPF Lausanne
Authors
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Giuseppe Carleo
- EPFL
- Institute of Physics, École Polytechnique Fédérale de Lausanne (EPFL)
- EPF Lausanne
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Progress in Machine Learning with Tensor Networks
Invited
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Presenters
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Edwin Stoudenmire
- Center for Computational Quantum Physics, Flatiron Institute
- Simons Foundation
Authors
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Edwin Stoudenmire
- Center for Computational Quantum Physics, Flatiron Institute
- Simons Foundation
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