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Trapped Ion Quantum Computing

Optimizing Quantum Communication for Quantum Data Centers with Reconfigurable Networks

arXiv
Authors: Hezi Zhang, Yiran Xu, Haotian Hu, Keyi Yin, Hassan Shapourian, Jiapeng Zhao, Ramana Rao Kompella, Reza Nejabati, Yufei Ding

Year

2024

Paper ID

6306

Status

Preprint

Abstract Read

~2 min

Abstract Words

134

Citations

N/A

Abstract

Distributed Quantum Computing (DQC) enables scalability by interconnecting multiple QPUs. Among various DQC implementations, quantum data centers (QDCs), which utilize reconfigurable optical switch networks to link QPUs across different racks, are becoming feasible in the near term. However, the latency of cross-rack communications and dynamic reconfigurations poses unique challenges to quantum communication, significantly increasing the overall latency and exacerbating qubit decoherence. In this paper, we introduce a new optimization space to parallelize cross-rack communications and avoid frequent reconfigurations, which incurs additional in-rack communications that can be further minimized. Based on this, we propose a flexible scheduler that improves communication efficiency while preventing deadlocks and congestion caused by the flexibility. Through a comprehensive evaluation, we show that our approach reduces the overall latency by a factor of 8.02, thereby mitigating qubit decoherence, with a small overhead.

Why This Paper Matters

  • This paper contributes to the Trapped-Ion Quantum Computing research area in the Quantum Articles archive.
  • It adds a 2024 reference point for readers tracking recent quantum research.
  • Distributed Quantum Computing (DQC) enables scalability by interconnecting multiple QPUs.

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