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J. Ignacio Cirac

Tensor networks and efficient descriptions of classical data

Mar 11, 2021
Sirui Lu, Márton Kanász-Nagy, Ivan Kukuljan, J. Ignacio Cirac

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* 16 pages, 6 figures

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Enhancing Generative Models via Quantum Correlations

Jan 20, 2021
Xun Gao, Eric R. Anschuetz, Sheng-Tao Wang, J. Ignacio Cirac, Mikhail D. Lukin

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* 25 pages, 13 figures

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Expressive power of tensor-network factorizations for probabilistic modeling, with applications from hidden Markov models to quantum machine learning

Jul 08, 2019
Ivan Glasser, Ryan Sweke, Nicola Pancotti, Jens Eisert, J. Ignacio Cirac

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* 14 pages + 13 pages supplementary material, code available at http://github.com/glivan/tensor_networks_for_probabilistic_modeling

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Computational speedups using small quantum devices

Jul 25, 2018
Vedran Dunjko, Yimin Ge, J. Ignacio Cirac

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* 5+12 pages

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Supervised learning with generalized tensor networks

Jun 15, 2018
Ivan Glasser, Nicola Pancotti, J. Ignacio Cirac

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* 14 pages, 16 figures

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Neural-Network Quantum States, String-Bond States, and Chiral Topological States

Mar 07, 2018
Ivan Glasser, Nicola Pancotti, Moritz August, Ivan D. Rodriguez, J. Ignacio Cirac

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* Phys. Rev. X 8, 011006 (2018)
* 15 pages, 7 figures

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