progressive-swapping-quantum-network-protocol

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Progressive Swapping to the Middle (PSM) protocol methodology for efficient entanglement distribution in quantum networks with imperfect quantum memories. Combines nested entanglement swapping with memory-aware scheduling. Use when designing quantum network protocols, entanglement distribution strategies, quantum repeater architectures, or optimizing quantum communication under memory decoherence constraints. Activation: progressive swapping, PSM protocol, quantum memory entanglement distribution, quantum repeater scheduling, imperfect quantum memory protocol, 量子网络纠缠分发

hiyenwong By hiyenwong schedule Updated 6/3/2026

name: progressive-swapping-quantum-network-protocol description: "Progressive Swapping to the Middle (PSM) protocol methodology for efficient entanglement distribution in quantum networks with imperfect quantum memories. Combines nested entanglement swapping with memory-aware scheduling. Use when designing quantum network protocols, entanglement distribution strategies, quantum repeater architectures, or optimizing quantum communication under memory decoherence constraints. Activation: progressive swapping, PSM protocol, quantum memory entanglement distribution, quantum repeater scheduling, imperfect quantum memory protocol, 量子网络纠缠分发" license: Complete terms in LICENSE.txt metadata: arxiv_id: "2605.31493" published: "2026-05-29" authors: "Claire Mesny, Fabrice Guillemin, Claire Goursaud" tags: [quantum-networks, entanglement-distribution, quantum-memory, PSM-protocol, quantum-communication]

Progressive Swapping Quantum Network Protocol

Core Concept

The Progressive Swapping to the Middle (PSM) protocol optimizes entanglement distribution across multi-hop quantum networks by performing entanglement swapping progressively toward the middle of the communication path, rather than sequentially end-to-end. This approach is specifically adapted for networks with imperfect quantum memories that suffer from decoherence.

Key Insights

Problem with Sequential Swapping

Standard entanglement swapping performs Bell measurements sequentially along a path:

  • Node A↔B → B↔C → C↔D → ... → final entanglement
  • Each waiting hop accumulates memory decoherence
  • Total fidelity drops exponentially with path length

PSM Protocol Strategy

  1. Divide path into segments of equal or optimized length
  2. Establish entanglement in parallel on all segments simultaneously
  3. Progressively swap toward the middle: inner nodes perform Bell measurements first
  4. Outer segments swap last, minimizing total memory holding time
  5. Memory-aware scheduling: account for coherence times when planning swap order

Mathematical Framework

For a path of length L with n hops:

  • Sequential: max memory time = (n-1) × t_swap
  • PSM (binary tree): max memory time ≈ log₂(n) × t_swap
  • Fidelity improvement: F_PSM > F_sequential when memory coherence time T_coh < (n-1) × t_swap

Usage Patterns

Pattern 1: Network Protocol Design

When designing quantum network protocols:

  1. Characterize quantum memory coherence times (T₁, T₂)
  2. Calculate entanglement generation rates per link
  3. Determine optimal segment division (equal vs. adaptive)
  4. Schedule swapping order to minimize max memory time
  5. Simulate protocol under realistic noise models

Pattern 2: Imperfect Memory Adaptation

When memories are heterogeneous:

  1. Map each node's memory quality (coherence time, fidelity)
  2. Assign shorter segments to nodes with worse memories
  3. Prioritize swapping through high-quality memory nodes
  4. Use memory purification before swapping if needed

Pattern 3: 6G Quantum Network Integration

For quantum-classical hybrid networks:

  1. PSM protocol integrates with classical control plane
  2. Classical signaling coordinates swap timing
  3. Resource allocation jointly optimizes quantum and classical bandwidth
  4. Presented at 2026 EuCNC & 6G Summit — designed for near-term deployment

Pitfalls

Memory Decoherence Underestimation

PSM only helps if memory coherence time is the bottleneck. If entanglement generation rate is the limiting factor, sequential swapping may perform similarly.

Synchronization Overhead

PSM requires more coordination between nodes than sequential swapping. Classical communication latency for coordination must be factored into the protocol timing.

Segment Size Optimization

Equal-length segments are simple but not always optimal. Adaptive segment sizing based on per-link entanglement generation rates and per-node memory quality yields better results.

Scalability Limit

For very long paths (>20 hops), PSM may require intermediate purification stages. The basic PSM protocol assumes sufficiently high initial entanglement fidelity.

References

  • arXiv:2605.31493 — Original PSM protocol paper (EuCNC 2026)
  • Related: quantum-network-control, quantum-entanglement-detection, quantum-network-routing-hamiltonian
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