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Classical shadow tomography is a sample-efficient technique for characterizing quantum systems and predicting many of their properties.
“Linear transformations which preserve hermitian and positive semidefinite operators”
John de Pillis · 1967
Earlier work this paper cites.
“Linear transformations which preserve trace and positive semidefiniteness of operators”
Andrzej Jamiołkowski · 1972
Earlier work this paper cites.
“Completely positive linear maps on complex matrices”
Man-Duen Choi · 1975
Earlier work this paper cites.
“Theoretical studies of enzymic reactions: dielectric, electrostatic and steric stabilization of the carbonium ion in the reaction of lysozyme”
Arieh Warshel and Michael Levitt · 1976
Earlier work this paper cites.
“Symmetric Informationally Complete Quantum Measurements”
Joseph. Renes, Robin Blume-Kohout, A.. Scott and Carlton. Caves · 2004
Earlier work this paper cites.
“Generalized energy-based fragmentation approach for computing the ground-state energies and properties of large molecules”
Wei Li, Shuhua Li and Yuansheng Jiang · 2007
Earlier work this paper cites.
“Fragmentation-based QM/MM simulations: Length dependence of chain dynamics and hydrogen bonding of polyethylene oxide and polyethylene in aqueous solutions”
Hui Li, Wei Li, Shuhua Li and Jing Ma · 2008
Earlier work this paper cites.
“Probability and Stochastics”
Erhan Çinlar · 2011
Earlier work this paper cites.
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Earlier work this paper cites.
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Ryan O’Donnell and John Wright · 2016
Earlier work this paper cites.
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Ville Bergholm et al · 2018
Earlier work this paper cites.
“Shadow tomography of quantum states”
Scott Aaronson · 2019
Earlier work this paper cites.
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Dax Koh and Sabee Grewal · 2022
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