Logo
ScienceStack
Table of Contents
Fetching ...
Sign In

Multiverse: A Simulator for Evaluating Entanglement Routing in Quantum Networks

Amar Abane, Junxiao Shi, Van Sy Mai, Abderrahim Amlou, Abdella Battou

TL;DR

MQNS tackles the challenge of evaluating entanglement routing in heterogeneous quantum networks by introducing a flexible, architecture-agnostic discrete-event simulator. It unifies routing, swapping, purification, memory management, and multiplexing with runtime configurability and a modular design, enabling fair comparisons across paradigms. The framework is validated against a reference simulator and demonstrated through use cases on memory management and swapping strategies, revealing how allocation and scheduling decisions influence end-to-end entanglement throughput and fidelity. The results highlight MQNS as a scalable benchmarking and architectural exploration tool, with potential extensions to reactive/distributed routing and hardware-heterogeneity modeling to guide future quantum-network designs.

Abstract

We present MQNS, a discrete-event simulator for rapid evaluation of entanglement routing under dynamic, heterogeneous configurations. MQNS supports runtime-configurable purification, swapping, memory management, and routing, within a unified qubit lifecycle and integrated link-architecture models. A modular, minimal design keeps MQNS architecture-agnostic, enabling fair, reproducible comparisons across paradigms and facilitating future emulation.

Multiverse: A Simulator for Evaluating Entanglement Routing in Quantum Networks

TL;DR

MQNS tackles the challenge of evaluating entanglement routing in heterogeneous quantum networks by introducing a flexible, architecture-agnostic discrete-event simulator. It unifies routing, swapping, purification, memory management, and multiplexing with runtime configurability and a modular design, enabling fair comparisons across paradigms. The framework is validated against a reference simulator and demonstrated through use cases on memory management and swapping strategies, revealing how allocation and scheduling decisions influence end-to-end entanglement throughput and fidelity. The results highlight MQNS as a scalable benchmarking and architectural exploration tool, with potential extensions to reactive/distributed routing and hardware-heterogeneity modeling to guide future quantum-network designs.

Abstract

We present MQNS, a discrete-event simulator for rapid evaluation of entanglement routing under dynamic, heterogeneous configurations. MQNS supports runtime-configurable purification, swapping, memory management, and routing, within a unified qubit lifecycle and integrated link-architecture models. A modular, minimal design keeps MQNS architecture-agnostic, enabling fair, reproducible comparisons across paradigms and facilitating future emulation.
Paper Structure (20 sections, 22 equations, 11 figures)

This paper contains 20 sections, 22 equations, 11 figures.

Table of Contents

  1. Introduction
  2. Related Work
  3. Design Approach
  4. Key Components
  5. Time Scheduling
  6. Memory Management
  7. Qubit Lifecycle
  8. Entanglement Link Architectures
  9. Implementation
  10. Software Modules
  11. Demonstration Network
  12. Evaluation
  13. Primitives Validation
  14. Use Case 1: Memory Management
  15. Use Case 2: Swapping Strategies
  16. ...and 5 more sections

Figures (11)

  • Figure 1: Timing modes in entanglement routing. Synchronous (left) and Asynchronous (right)
  • Figure 2: Qubit state machine
  • Figure 3: Modules of the simulator, categorized by origin—reused (yellow), redesigned/extended (orange), and newly introduced (green).
  • Figure 4: EPR generation performance over isolated links.
  • Figure 5: E2E entanglement rate for a three-node path.
  • ...and 6 more figures