Strategy optimization for quantum conference key agreement in asymmetric star networks

TL;DR

This paper analyzes and optimizes a quantum conference key agreement protocol in asymmetric star networks, emphasizing the importance of strategy adjustment through numerical simulations for realistic quantum communication schemes.

Contribution

It introduces a strategy optimization method for quantum conference key agreement in asymmetric networks using numerical simulations to improve protocol performance.

Findings

Minor variations in network parameters significantly affect protocol performance.

Optimizing cutoff times is crucial for effective strategy adjustment.

Numerical simulations are essential for designing realistic quantum communication protocols.

Abstract

The distribution of entangled states is a core task for quantum networks facilitating quantum communication, and the use of multipartite entangled states comes with its own set of considerations. In this work, we analyze a quantum conference agreement protocol based on GHZ states in a network with a central station to which multiple clients are connected. Using comprehensive numerical simulations, we investigate how minor variations in the scenario-such as the number of parties, the number of memories, and asymmetric distances from the central station-can drastically influence the performance of the protocol. In particular, we demonstrate that it is crucial to adjust the strategy by optimizing cutoff times. From a broader perspective, we argue that numerical simulations are an indispensable tool for protocol design for devising realistic schemes for quantum communication.