FOCUS: Machine Learning and Other New Ideas for Cold Atoms
FOCUS · P08 ·
Presentations
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String patterns and machine learning: probing the Fermi-Hubbard model with cold atoms
COFFEE_KLATCH · Invited
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Authors
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Annabelle Bohrdt
- Tech Univ Muenchen
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Visualizing Correlations in the 2D Fermi-Hubbard Model with AI
ORAL
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Authors
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Ehsan Khatami
- San Jose State University
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Elmer Guardado-Sanchez
- Princeton University
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Benjamin M Spar
- Princeton University
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Juan Felipe Carrasquilla
- Vector Institute
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Waseem Bakr
- Princeton University
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Richard T. Scalettar
- University of California Davis
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Deep Convolutional Neural Networks for Quantum 1D Spin Chains
ORAL
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Authors
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Shah Saad Alam
- Rice Univ
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Li Yang
- Google Research
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Wenjun Hu
- Rice Univ
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YiLong Ju
- Rice Univ
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Han Pu
- Rice Univ
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Ankit Patel
- Rice Univ
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Machine learning aided study of a three-dimensional gas of SU($N$) fermions
ORAL
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Authors
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Entong Zhao
- Hong Kong University of Science and Technology
- Department of Physics, The Hong Kong University of Science and Technology
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Jeongwon Lee
- Department of Physics, The Hong Kong University of Science and Technology
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Chengdong He
- Department of Physics, The Hong Kong University of Science and Technology
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Elnur Hajiyev
- Department of Physics, The Hong Kong University of Science and Technology
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Zejian Ren
- Department of Physics, The Hong Kong University of Science and Technology
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Toby T.H. Mak
- Department of Physics, The Hong Kong University of Science and Technology
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Gyu-Boong Jo
- Department of Physics, The Hong Kong University of Science and Technology
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Generative modeling of quantum simulators
COFFEE_KLATCH · Invited
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Authors
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Giacomo Torlai
- Simons Foundation
- Flatiron Institute
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Towards Machine Learning-Enhanced Laser Cooling and Trapping
ORAL
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Authors
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Shangjie Guo
- Joint Quantum Institute, University of Maryland, College Park, National Institute of Standards and Technology
- University of Maryland
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Justyna P. Zwolak
- National Institute of Standards and Technology
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Ian Spielman
- Joint Quantum Institute, University of Maryland, College Park, National Institute of Standards and Technology
- Joint Quantum Institute, University of Maryland, National Institute of Standards and Technology
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