Efficient Routing on Quantum Networks using Adaptive Clustering

Fuente: arXiv
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Main Authors: Clayton, Connor, Wu, Xiaodi, Bhattacharjee, Bobby
Format: Preprint
Published: 2024
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author Clayton, Connor
Wu, Xiaodi
Bhattacharjee, Bobby
author_facet Clayton, Connor
Wu, Xiaodi
Bhattacharjee, Bobby
contents We introduce QuARC, Quantum Adaptive Routing using Clusters, a novel clustering-based entanglement routing protocol that leverages redundant, multi-path routing through multi-particle projective quantum measurements to enable high-throughput, low-overhead, starvation-free entanglement distribution. At its core, QuARC periodically reconfigures the underlying quantum network into clusters of different sizes, where each cluster acts as a small network that distributes entanglement across itself, and the end-to-end entanglement is established by further distributing between clusters. QuARC does not require a-priori knowledge of any physical parameters, and is able to adapt the network configuration using static topology information, and using local (within-cluster) measurements only. We present a comprehensive simulation-based evaluation that shows QuARC is robust against changes to physical network parameters, and maintains high throughput without starvation even as network sizes scale and physical parameters degrade.
format Preprint
id arxiv_https___arxiv_org_abs_2410_23007
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Efficient Routing on Quantum Networks using Adaptive Clustering
Clayton, Connor
Wu, Xiaodi
Bhattacharjee, Bobby
Quantum Physics
Networking and Internet Architecture
We introduce QuARC, Quantum Adaptive Routing using Clusters, a novel clustering-based entanglement routing protocol that leverages redundant, multi-path routing through multi-particle projective quantum measurements to enable high-throughput, low-overhead, starvation-free entanglement distribution. At its core, QuARC periodically reconfigures the underlying quantum network into clusters of different sizes, where each cluster acts as a small network that distributes entanglement across itself, and the end-to-end entanglement is established by further distributing between clusters. QuARC does not require a-priori knowledge of any physical parameters, and is able to adapt the network configuration using static topology information, and using local (within-cluster) measurements only. We present a comprehensive simulation-based evaluation that shows QuARC is robust against changes to physical network parameters, and maintains high throughput without starvation even as network sizes scale and physical parameters degrade.
title Efficient Routing on Quantum Networks using Adaptive Clustering
topic Quantum Physics
Networking and Internet Architecture
url https://arxiv.org/abs/2410.23007