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Simulators for Quantum Network Modelling: A Comprehensive Review

Oceane Bel, Mariam Kiran

TL;DR

A review of, to the best of the knowledge, currently used toolkits for modeling quantum networks and standardized validation techniques to lay down the foundations for more accurate and reliable quantum network simulators.

Abstract

Quantum network research, is exploring new networking protocols, physics-based hardware and novel experiments to demonstrate how quantum distribution will work over large distances. Current work explores much of these concepts in simulations, that are developed to understand how quantum networking will be set up and researchers can experiment virtually. Exposing flaws in network designs, like unsustainable topologies, or develop protocols that efficiently utilize network resources, simulators can also help assess whether workloads are balanced across virtual machines in the network. However, much of these simulation models come without reliable verification methods, for testing performance in real deployments. In this paper, we present a review of, to the best of our knowledge, currently used toolkits for modeling quantum networks. With these toolkits and standardized validation techniques, we can lay down the foundations for more accurate and reliable quantum network simulators.

Simulators for Quantum Network Modelling: A Comprehensive Review

TL;DR

A review of, to the best of the knowledge, currently used toolkits for modeling quantum networks and standardized validation techniques to lay down the foundations for more accurate and reliable quantum network simulators.

Abstract

Quantum network research, is exploring new networking protocols, physics-based hardware and novel experiments to demonstrate how quantum distribution will work over large distances. Current work explores much of these concepts in simulations, that are developed to understand how quantum networking will be set up and researchers can experiment virtually. Exposing flaws in network designs, like unsustainable topologies, or develop protocols that efficiently utilize network resources, simulators can also help assess whether workloads are balanced across virtual machines in the network. However, much of these simulation models come without reliable verification methods, for testing performance in real deployments. In this paper, we present a review of, to the best of our knowledge, currently used toolkits for modeling quantum networks. With these toolkits and standardized validation techniques, we can lay down the foundations for more accurate and reliable quantum network simulators.
Paper Structure (27 sections, 6 equations, 2 figures, 3 tables)

This paper contains 27 sections, 6 equations, 2 figures, 3 tables.

Figures (2)

  • Figure 1: An example of interfacing quantum over optical network layer. This includes: The DWDM (Dense Wavelength Division Multiplexing) exists in the physical layer of classical optical networks. TDC (Time-to-Digital Converter) is mainly used for synchronization between different nodes. EOM (Electro-Optic Modulator) manipulates the light signals to convert the frequency of a photon while preserving its quantum information. SNSPD (Superconducting Nanowire Single-Photon Detector) help perform measurements, Hong-Ou-Mandel (HOM) interference and RB (Rubidium) is an alkali metal element.
  • Figure 2: Quantum network simulator flowchart.