Abstract
Quantum networks describe communication networks that are based on quantum entanglement. A concurrence percolation theory has been recently developed to determine the required entanglement to enable communication between two distant stations in an arbitrary quantum network. Unfortunately, concurrence percolation has been calculated only for very small networks or large networks without loops. Here, we develop a set of mathematical tools for approximating the concurrence percolation threshold for unprecedented large-scale quantum networks by estimating the path-length distribution, under the assumption that all paths between a given pair of nodes have no overlap. We show that our approximate method agrees closely with analytical results from concurrence percolation theory. The numerical results we present include 2D square lattices of 2002 nodes and complex networks of up to 104 nodes. The entanglement percolation threshold of a quantum network is a crucial parameter for constructing a real-world communication network based on entanglement, and our method offers a significant speed-up for the intensive computations involved.
| Original language | English |
|---|---|
| Article number | 193 |
| Number of pages | 11 |
| Journal | Communications Physics |
| Volume | 5 |
| Issue number | 1 |
| DOIs | |
| State | Published - 29 Jul 2022 |
Bibliographical note
Publisher Copyright:© 2022, The Author(s).
Funding
O.M., G.K., and B.K.S. were supported in part by the Defense Advanced Research Projects Agency (DARPA) and the Army Research Office (ARO) under Contract No. W911NF-17-C-0099. B.K.S. was also supported by ARO under Contract No. W911NF-16-1-05241. J.G. acknowledges the support of National Science Foundation under Grant No. 2047488, and the Rensselaer-IBM AI Research Collaboration. X.M. was supported by the NetSeed: Seedling Research Award of Northeastern University. S.H. thanks the Israel Science Foundation, the Binational Israel-China Science Foundation (Grant No. 3132/19), the BIU Center for Research in Applied Cryptography and Cyber Security, NSF-BSF (Grant No. 2019740) and DTRA (Grant No. HDTRA1-19-1-0016) for financial support. The views and conclusions contained in this document are those of the authors and should not be interpreted as representing the official policies either expressed or implied by the U.S. Government.
| Funders | Funder number |
|---|---|
| Binational Israel-China Science Foundation | 3132/19 |
| NSF-BSF | 2019740, HDTRA1-19-1-0016 |
| National Science Foundation | 2047488 |
| Army Research Office | W911NF-17-C-0099, W911NF-16-1-05241 |
| Defense Advanced Research Projects Agency | |
| Northeastern University | |
| Israel Science Foundation |