Entanglement formation in continuous-variable random quantum networks

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.

Document Details

Document Type
Pub Defense Publication
Publication Date
Feb 16, 2021
Source ID
10.1038/s41534-021-00370-w

Entities

People

  • Bingzhi Zhang
  • Quntao Zhuang

Organizations

  • Army Research Office
  • United States Department of Defense
  • University of Arizona

Tags

Fields of Study

  • Physics

Readers

  • Computer Networking
  • Finite Element Method (FEM) for solving Partial Differential Equations (PDEs)
  • Quantum Dot Semiconductor Device Photonics and Graphene Optoelectronic Materials and THz Physics.

Technology Areas

  • Quantum Computing