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In experimentally realistic situations, quantum systems are never perfectly isolated and the coupling to their environment needs to be taken into account.
1902
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1902
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1902
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2015
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2016
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2016
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2016
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2016
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2017
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Giuseppe Carleo and Matthias Troyer, “Solving the quantum many-body problem with artificial neural networks,” Science 355
2017
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Dong-Ling Deng, Xiaopeng Li, and S. Das Sarma, “Machine learning topological states,” Physical Review B 96
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2018
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2018
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Daniel Jaschke, Simone Montangero, and Lincoln D. Carr, “One-dimensional many-body entangled open quantum systems with tensor network methods,” Quantum Science and Technology 4
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Giacomo Torlai and Roger G. Melko, “Latent Space Purification via Neural Density Operators,” Physical Review Letters 120
2018
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2018
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2018
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Alberto Biella, Jiasen Jin, Oscar Viyuela, Cristiano Ciuti, Rosario Fazio, and Davide Rossini, “Linked cluster expansions for open quantum systems on a lattice,” Physical Review B 97
2018
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John Preskill, “Quantum Computing in the NISQ era and beyond,” Quantum 2
2018
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2019
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2019
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