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An experiment often consists of more than a single step. In this case, measurements at each step give rise to uncertainty. Because the measurements occur in successive steps, the uncertainty in one step necessarily contributes to that in the subsequent step. As we perform statistical analysis on these types of experiments, we must learn to account for the propagation of uncertainty from one step to the next. The propagation of uncertainty depends on the type of arithmetic operation performed on...
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Related Experiment Video

Updated: Jan 10, 2026

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
05:30

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Published on: September 8, 2023

1.1K

Trust-Aware Causal Consistency Routing for Quantum Key Distribution Networks Against Malicious Nodes.

Yi Luo1, Qiong Li1

  • 1School of Cyberspace Science, Faculty of Computing, Harbin Institute of Technology, Harbin 150001, China.

Entropy (Basel, Switzerland)
|November 26, 2025
PubMed
Summary
This summary is machine-generated.

This study introduces a new distributed routing framework for quantum key distribution (QKD) networks. It enhances security and efficiency by preventing malicious nodes from disrupting key distribution, ensuring reliable communication.

Keywords:
malicious nodesquantum key distribution networksrouting

Related Experiment Videos

Last Updated: Jan 10, 2026

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
05:30

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Published on: September 8, 2023

1.1K

Area of Science:

  • Quantum Information Science
  • Network Security
  • Distributed Systems

Background:

  • Quantum Key Distribution (QKD) networks offer information-theoretic security but rely on routing protocols.
  • Existing routing protocols often assume honest nodes, which is unrealistic in adversarial environments.
  • Malicious nodes can disrupt QKD networks by propagating inconsistent routing information, leading to key wastage.

Purpose of the Study:

  • To develop a robust distributed routing framework for QKD networks resilient to malicious nodes.
  • To ensure consistent key-state views and reliable routing plans in the presence of untrustworthy relays.
  • To optimize secure key distribution efficiency and minimize key wastage.

Main Methods:

  • Proposed a framework with Causal Consistency Key-State Update to prevent inconsistent state propagation.
  • Implemented Trust-Aware Multi-path Flow Optimization using trust metrics to penalize suspicious links.
  • Evaluated performance on 50-node topologies with up to 30% malicious relays under various attack modes.

Main Results:

  • Achieved a high Demand Completion Ratio (DCR) (mean 0.90) with low key utilization (16.6 keys per demand).
  • Significantly outperformed baseline protocols like Multi-Path Planned (DCR 0.48) and OSPF (DCR ≤0.12).
  • Demonstrated resilience across different attack modes and high percentages of malicious relays.

Conclusions:

  • The proposed framework effectively balances reliability and efficiency in QKD networks.
  • It provides a practical and resilient solution for secure key distribution in adversarial environments.
  • The framework enhances the trustworthiness and performance of future QKD network deployments.