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Study on estimating quantum discord by neural network with prior knowledge

Quantum Information Processing, 2019
Machine learning has achieved success in many areas because of its powerful fitting ability, so we hope it can help us to solve some significant physical quantitative problems, such as quantum correlation. In this research, we will use neural networks to
Y. Liu   +4 more
semanticscholar   +1 more source

Dynamics of super quantum discord and optimal dense coding in quantum channels

Journal of Physics A: Mathematical and Theoretical, 2018
Quantum discord (QD), super quantum discord (SQD) and optimal dense coding at entangled states of three types of quantum channels, are investigated. The used models include: two-qubit spin squeezing, the two-qubit Heisenberg XYZ model with decoherency ...
F. Mirmasoudi, S. Ahadpour
semanticscholar   +1 more source

Gaussian quantum discord and the monogamy relation in de Sitter space

Quantum Information Processing, 2022
Shu-Min Wu, H. Zeng, Tonghua Liu
semanticscholar   +1 more source

Quantum Discord in Quantum Information Theory

2014
The role of quantum discord in the task of remote state preparation was considered by Dakic et al. (Nature Physics 8:666–670, 2012). In this task Alice aims to remotely prepare Bob’s system in the quantum state \(\mathinner {|{\psi }\rangle }=\frac{1}{\sqrt{2}}(\mathinner {|{0}\rangle }+e^{i\phi }\mathinner {|{1}\rangle }).\) To this end Alice and Bob ...
openaire   +1 more source

Tripartite quantum discord dynamics in qubits driven by the joint influence of distinct classical noises

Quantum Information Processing, 2021
Kuate Fodouop Fabrice   +4 more
semanticscholar   +1 more source

Quantum guidelines for solid-state spin defects

Nature Reviews Materials, 2021
Gary Wolfowicz   +2 more
exaly  

Weyl, Dirac and high-fold chiral fermions in topological quantum matter

Nature Reviews Materials, 2021
M Zahid Hasan   +2 more
exaly  

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