Efficient Routing on Quantum Networks using Adaptive Clustering
October 30, 2024 Β· Declared Dead Β· π IEEE International Conference on Network Protocols
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Authors
Connor Clayton, Xiaodi Wu, Bobby Bhattacharjee
arXiv ID
2410.23007
Category
quant-ph: Quantum Computing
Cross-listed
cs.NI
Citations
5
Venue
IEEE International Conference on Network Protocols
Last Checked
5 months ago
Abstract
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.
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