Simulation of entanglement based quantum networks for performance characterization

TL;DR

This paper uses simulations to analyze entanglement distribution in quantum networks, exploring technological and process challenges to inform future network design.

Contribution

It presents a simulation framework in NetSquid for studying quantum network performance, considering practical technological and distribution factors.

Findings

Memory technology, gate durations, and noise affect fidelity.

Number of switches, distances, and error correction impact performance.

Guidelines for designing and configuring future entanglement-based networks.

Abstract

Entanglement-based networks (EBNs) enable general-purpose quantum communication by combining entanglement and its swapping in a sequence that addresses the challenges of achieving long distance communication with high fidelity associated with quantum technologies. In this context, entanglement distribution refers to the process by which two nodes in a quantum network share an entangled state, serving as a fundamental resource for communication. In this paper, we study the performance of entanglement distribution mechanisms over a physical topology comprising end nodes and quantum switches, which are crucial for constructing large-scale links. To this end, we implemented a switch-based topology in NetSquid and conducted a series of simulation experiments to gain insight into practical and realistic quantum network engineering challenges. These challenges include, on the one hand, aspects related to quantum technology, such as memory technology, gate durations, and noise; and, on the other hand, factors associated with the distribution process, such as the number of switches, distances, purification, and error correction. All these factors significantly impact the end-to-end fidelity across a path, which supports communication between two quantum nodes. We use these experiments to derive some guidelines towards the design and configuration of future EBNs.