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Trapped Ion Quantum Computing

Resource Placement for Rate and Fidelity Maximization in Quantum Networks

arXiv
Authors: Shahrooz Pouryousef, Hassan Shapourian, Alireza Shabani, Ramana Kompella, Don Towsley

Year

2023

Paper ID

55304

Status

Preprint

Abstract Read

~2 min

Abstract Words

160

Citations

N/A

Abstract

Existing classical optical network infrastructure cannot be immediately used for quantum network applications due to photon loss. The first step towards enabling quantum networks is the integration of quantum repeaters into optical networks. However, the expenses and intrinsic noise inherent in quantum hardware underscore the need for an efficient deployment strategy that optimizes the allocation of quantum repeaters and memories. In this paper, we present a comprehensive framework for network planning, aiming to efficiently distributing quantum repeaters across existing infrastructure, with the objective of maximizing quantum network utility within an entanglement distribution network. We apply our framework to several cases including a preliminary illustration of a dumbbell network topology and real-world cases of the SURFnet and ESnet. We explore the effect of quantum memory multiplexing within quantum repeaters, as well as the influence of memory coherence time on quantum network utility. We further examine the effects of different fairness assumptions on network planning, uncovering their impacts on real-time network performance.

Why This Paper Matters

  • This paper contributes to the Trapped-Ion Quantum Computing research area in the Quantum Articles archive.
  • It adds a 2023 reference point for readers tracking recent quantum research.
  • Existing classical optical network infrastructure cannot be immediately used for quantum network applications due to photon loss.

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