Efficient Multiparty Entanglement Distribution with DODAG-X Protocol
Roberto Negrin, Nicolas Dirnegger, William Munizzi, Jugal Talukdar, Prineha Narang

TL;DR
The paper introduces DODAG-X, a scalable protocol for efficient multipartite entanglement distribution in quantum networks, reducing computational overhead and measurement requirements while improving robustness and scalability.
Contribution
It presents a novel DODAG-X protocol that optimizes resource use and robustness in quantum entanglement distribution, with significant reductions in measurement and computation compared to existing methods.
Findings
Significant measurement reduction in benchmarks
Successful generation of three-party entanglement in arbitrary networks
Potential for scaling to n-party entanglement
Abstract
In this work we introduce the DODAG-X protocol for multipartite entanglement distribution in quantum networks. Leveraging the power of Destination Oriented Directed Acyclic Graphs (DODAGs), our protocol optimizes resource consumption and enhances robustness to noise in dynamic and lossy networks. Implementing a variation on the X-protocol within the DODAG, we minimize graph verification and path-finding calculations, significantly reducing computational overhead when compared to other entanglement routing schemes. Additionally, our benchmarks on grid lattice and small-world topologies reveal substantial measurement reduction compared to existing protocols. We demonstrate the success of DODAG-X for generating maximal three-party entanglement in arbitrary networks, and describe the potential for scaling to generic -party entanglement. The DODAG-X protocol provides a scalable and…
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Taxonomy
TopicsQuantum Computing Algorithms and Architecture · Chaos-based Image/Signal Encryption · Computational Physics and Python Applications
