Joint Optimization of Photon Source Deployment and Key Rate Allocation with Trusted Relay Path Identification in Qkd Networks

Quantum key distribution (QKD) is currently the only visible technology for secure symmetric key exchange between communicating parties. However, existing quantum photon sources (PSs) in QKD networks for generating keys between nodes are costly but offer limited achievable key rates. Moreover, achievable key rates across links diminish drastically with link distance, underscoring the importance of effectively identifying relay paths and strategically allocating PS resources. To optimize network costs, it is essential to jointly deploy PSs, allocate key rates across links, and determine relay paths based on anticipated traffic. To this end, we formulate a novel optimization problem, termed DAP, which simultaneously considers PS placement, key rate allocation, and relay path identification. Our proposed <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$O(\log\vert V\vert)$</tex> approximation algorithm, ADAP, leverages an advanced linear programming (LP) conversion with tailored rounding techniques. Simulation results manifest that ADAP achieves at least an 83 % reduction in the number of PSs.

Authors

Institutions

Publication Details

Published
2025-06-08
DOI
https://doi.org/10.1109/icc52391.2025.11160974
Primary Topic
Quantum Information and Cryptography
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Joint Optimization of Photon Source Deployment and Key Rate Allocation with Trusted Relay Path Identification in Qkd Networks

Jian-Jhih Kuo, Wan-Ting Ho, Chih-Yu Wang, Ming‐Jer Tsai et al.
Quantum Information and Cryptography
article

Joint Optimization of Photon Source Deployment and Key Rate Allocation with Trusted Relay Path Identification in Qkd Networks

Jian-Jhih Kuo, Wan-Ting Ho, Chih-Yu Wang, Ming‐Jer Tsai, Wei-Chia Hsieh, Lifeng Chen
article en

Abstract

Quantum key distribution (QKD) is currently the only visible technology for secure symmetric key exchange between communicating parties. However, existing quantum photon sources (PSs) in QKD networks for generating keys between nodes are costly but offer limited achievable key rates. Moreover, achievable key rates across links diminish drastically with link distance, underscoring the importance of effectively identifying relay paths and strategically allocating PS resources. To optimize network costs, it is essential to jointly deploy PSs, allocate key rates across links, and determine relay paths based on anticipated traffic. To this end, we formulate a novel optimization problem, termed DAP, which simultaneously considers PS placement, key rate allocation, and relay path identification. Our proposed <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$O(\log\vert V\vert)$</tex> approximation algorithm, ADAP, leverages an advanced linear programming (LP) conversion with tailored rounding techniques. Simulation results manifest that ADAP achieves at least an 83 % reduction in the number of PSs.

National Chung Cheng University (TW), National Tsing Hua University (TW), Research Center for Information Technology Innovation, Academia Sinica (TW)
Openalex Percentile: Top 86%
Quantum Information and Cryptography
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Joint Optimization of Photon Source Deployment and Key Rate Allocation with Trusted Relay Path Identification in Qkd Networks — Jian-Jhih Kuo, Wan-Ting Ho, et al. · (2025) | TGRS Research Map | TGRS