Abstract

Quantum communication between distant parties is based on suitable instances of shared entanglement. For efficiency reasons, in an anticipated quantum network beyond point-to-point communication, it is preferable that many parties can communicate simultaneously over the underlying infrastructure; however, bottlenecks in the network may cause delays. Sharing of multi-partite entangled states between parties offers a solution, allowing for parallel quantum communication. Specifically for the two-pair problem, the butterfly network provides the first instance of such an advantage in a bottleneck scenario. In this paper, we propose a more general method for establishing EPR pairs in arbitrary networks. The main difference from standard repeater network approaches is that we use a graph state instead of maximally entangled pairs to achieve long-distance simultaneous communication. We demonstrate how graph-theoretic tools, and specifically local complementation, help decrease the number of required measurements compared to usual methods applied in repeater schemes. We examine other examples of network architectures, where deploying local complementation techniques provides an advantage. We finally consider the problem of extracting graph states for quantum communication via local Clifford operations and Pauli measurements, and discuss that while the general problem is known to be NP-complete, interestingly, for specific classes of structured resources, polynomial time algorithms can be identified.

Highlights

  • Quantum communication schemes over optical networks necessarily suffer from transmission losses and errors

  • Network efficiency is limited by the memory capacities of the quantum repeater stations,[16] as well as by possible bottlenecks imposed by the quantum network architecture

  • We have discussed the manipulation of multi-partite entangled resources for applications in quantum routing and quantum communication across quantum networks

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Summary

INTRODUCTION

Quantum communication schemes over optical networks necessarily suffer from transmission losses and errors. We have already argued that sharing graph states between the nodes of a network allows for quicker communication with less requirements for channel capacity and memory than sharing EPR pairs between nodes It is not known, given a shared graph state, what the optimal technique for entanglement sharing between nodes that are not connected via physical links is. Local complementation on a graph is equivalent to applying local Clifford gates on the respective graph state.[32] In particular, standard repeater protocols, the distillation would require the measurement of at least six nodes and thereby render the the graph state that results from local complementation with extraction of a second EPR pair impossible (cf Fig. 1c–e).

Hahn et al 3
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