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A Short Scalability Study on the SeQUeNCe Parallel Quantum Network Simulator

Aaron Welch, Mariam Kiran

TL;DR

The results provide new insight into its scalability behaviour, and the strategy of the SeQUeNCe discrete event simulator is examined and how it may be able to be improved.

Abstract

As quantum networking continues to grow in importance, its study is of interest to an ever wider community and at an increasing scale. However, the development of its physical infrastructure remains burdensome, and services providing third party access are not enough to meet demand. A variety of simulation frameworks provide a method for testing aspects of such systems on commodity hardware, but are predominantly serial and thus unable to scale to larger networks and/or workloads. One effort to address this was focused on parallelising the SeQUeNCe discrete event simulator, though it has yet to be proven to work well across system architectures or at larger scales. Therein lies the contribution of this work - to more deeply examine its scalability using ORNL Frontier. Our results provide new insight into its scalability behaviour, and we examine its strategy and how it may be able to be improved.

A Short Scalability Study on the SeQUeNCe Parallel Quantum Network Simulator

TL;DR

The results provide new insight into its scalability behaviour, and the strategy of the SeQUeNCe discrete event simulator is examined and how it may be able to be improved.

Abstract

As quantum networking continues to grow in importance, its study is of interest to an ever wider community and at an increasing scale. However, the development of its physical infrastructure remains burdensome, and services providing third party access are not enough to meet demand. A variety of simulation frameworks provide a method for testing aspects of such systems on commodity hardware, but are predominantly serial and thus unable to scale to larger networks and/or workloads. One effort to address this was focused on parallelising the SeQUeNCe discrete event simulator, though it has yet to be proven to work well across system architectures or at larger scales. Therein lies the contribution of this work - to more deeply examine its scalability using ORNL Frontier. Our results provide new insight into its scalability behaviour, and we examine its strategy and how it may be able to be improved.

Paper Structure

This paper contains 7 figures.

Figures (7)

  • Figure 1: Linear Topology
  • Figure 2: Autonomous System Topology
  • Figure 3: Linear Topology Performance
  • Figure 4: Autonomous System Performance
  • Figure 5: Autonomous System Performance Breakdown
  • ...and 2 more figures