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- Title:
Boltzmann machines and string-bond states for describing quantum many-body states
- Author(s):
- Glasser, Ivan; Pancotti, Nicola; August, Moritz; Rodriguez, Ivan; Cirac, Ignacio
- Keywords:
- Tensor Networks; Machine Learning; Restricted Boltzmann Machines; Ground States; Quantum Physics; Deep Learning
- Congress title:
- Machine Learning Challenges in Complex Multiscale Physical Systems
- Congress / additional information:
- Institute of Advances Studies (TUM)
- TUM Institution:
- Technical University of Munich, Max Planck Institute of Quantum Optics
- Year:
- 2017
- Month:
- Jan
- Notes:
- mediatitle: Machine Learning Challenges in Complex Multiscale Physical Systems
address: Institute of Advances Studies (TUM)
URL: http://www5.in.tum.de/pub/august_RBM.pdf - URL:
- http://www5.in.tum.de/pub/august_RBM.pdf
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