Enhancing Position Verification in Multi-Node Quantum Networks

Open Access
Authors
Publication date 2025
Book title INFOCOM 2025 - IEEE Conference on Computer Communications
Book subtitle London, United Kingdom, 19-22 May 2025
ISBN
  • 9798331543068
ISBN (electronic)
  • 9798331543051
Event 2025 IEEE Conference on Computer Communications, INFOCOM 2025
Pages (from-to) 949-958
Number of pages 10
Publisher Piscataway, NJ: IEEE
Organisations
  • Faculty of Science (FNWI) - Informatics Institute (IVI)
Abstract

Quantum position verification (QPV) is emerging as a promising application for quantum networks, leveraging spatial and quantum information to verify locations. However, current discussions on QPV protocols are largely confined to perfect experimental setups and one-dimensional scenarios. To address this gap, we extend the QPVBB84f protocol to two dimensions. First, we define the requirements for the 2D QPV task and assess its performance under real-world constraints, which potentially expose the system to external attacks. To strengthen the protocol against these vulnerabilities, we study the 'danger zones', defining a region in spacetime within which attackers can manipulate these real-world constraints to convince verifiers. We then develop two algorithms to implement this theory: the Verifiable Vertices Selection algorithm, which identifies nodes that can validate their locations with designated verifiers, and the Malicious Prover Location Identification algorithm, which determines the 'danger zone' around the prover. Finally, we present a case study to demonstrate the conceptual implementation of the protocol. Our findings advance the development of secure and practical QPV protocols while highlighting the potential of quantum networks in the noisy intermediate-scale quantum (NISQ) era.

Document type Conference contribution
Language English
Published at https://doi.org/10.1109/INFOCOM55648.2025.11044770
Other links https://www.proceedings.com/80804.html https://www.scopus.com/pages/publications/105011092733
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