Fidelity-Guaranteed Entanglement Routing with Distributed Purification Planning

arXiv:2605.0024622.7
Predicted impact top 54% in NI · last 90 daysOriginality Incremental advance
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For quantum network operators, it provides a distributed solution to fidelity-guaranteed entanglement routing, addressing a key bottleneck in practical quantum networks.

Q-GUARD is an online entanglement routing algorithm that enforces per-request fidelity thresholds in a distributed manner, raising qualified success rate from under 20% to over 85% on 4-hop paths and nearly doubling qualified service radius compared to baselines.

Many quantum-network applications require end-to-end Bell pairs whose fidelity exceeds a request-specific threshold, but existing entanglement routing algorithms either optimize only throughput without regard for fidelity or enforce fidelity guarantees using centralized controllers with global link-state knowledge. We present Q-GUARD, an online entanglement routing algorithm that enforces per-request fidelity thresholds within a distributed protocol model in which nodes exchange link-state information only with their $k$-hop neighbors. After link outcomes are realized in each slot, Q-GUARD builds per-link purification cost tables from realized Bell pairs, allocates per-hop fidelity targets using a Werner-state equal-split rule, and selects between candidate path segments using a segment-local expected-goodput (EXG) metric that jointly accounts for swap success, purification overhead, and resource availability. We also introduce Q-GUARD-WS, an extension that exploits per-link hardware quality estimates to allocate purification effort non-uniformly across hops. On synthetic 100-node topologies with heterogeneous link fidelity and stochastic BBPSSW purification, Q-GUARD raises the qualified success rate from under 20\% to over 85\% on 4-hop paths and nearly doubles the qualified service radius in Euclidean distance relative to throughput-only and naive-purification baselines, while Q-GUARD-WS provides additional throughput gains under high hardware heterogeneity.

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