Entanglement formation in continuous-variable random quantum networks
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Affiliation
Department of Physics, University of ArizonaDepartment of Electrical and Computer Engineering, University of Arizona
James C. Wyant College of Optical Sciences, University of Arizona
Issue Date
2021-02-16
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Nature ResearchCitation
Zhang, B., & Zhuang, Q. (2021). Entanglement formation in continuous-variable random quantum networks. npj Quantum Information, 7(1), 1-12.Journal
npj Quantum InformationRights
© The Author(s) 2021. Open Access. This article is licensed under a Creative Commons Attribution 4.0 International License.Collection Information
This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.Abstract
Entanglement is not only important for understanding the fundamental properties of many-body systems, but also the crucial resource enabling quantum advantages in practical information processing tasks. Although previous works on quantum networks focus on discrete-variable systems, light—as the only traveling carrier of quantum information in a network—is bosonic and thus requires a continuous-variable description. We extend the study to continuous-variable quantum networks. By mapping the ensemble-averaged entanglement dynamics on an arbitrary network to a random-walk process on a graph, we are able to exactly solve the entanglement dynamics. We identify squeezing as the source of entanglement generation, which triggers a diffusive spread of entanglement with a "parabolic light cone”. A surprising linear superposition law in the entanglement growth is predicted by the theory and numerically verified, despite the nonlinear nature of the entanglement dynamics. The equilibrium entanglement distribution (Page curves) is exactly solved and has various shapes depending on the average squeezing density and strength. © 2021, The Author(s).Note
Open access journalISSN
2056-6387EISSN
2056-6387Version
Final published versionSponsors
Army Research Officeae974a485f413a2113503eed53cd6c53
10.1038/s41534-021-00370-w
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Except where otherwise noted, this item's license is described as © The Author(s) 2021. Open Access. This article is licensed under a Creative Commons Attribution 4.0 International License.

