Enhanced Quantum Secret Sharing with Reduced Resource Consumption through GHZ Entanglement

Quantum secret sharing (QSS) is a crucial quantum cryptographic method that provides unconditional secu-rity through the principles of quantum mechanics and enables practical applications in information security and distributed computing. Many QSS protocols have been proposed based on various quantum properties and operations. In this study, we propose a new and efficient multiparty quantum secret sharing protocol that utilizes entanglement swapping with the Greenberger-Horne-Zeilinger (GHZ) state and introduces a novel structure to efficiently and securely distribute and recover secrets. Due to entanglement swapping, participants can entangle systems without directly interacting with each other, enhancing practical usage. Through GHZ entanglement swapping, initial particle states cannot be directly inferred. The proposed QSS protocol leverages this property to encode information among participants. To decode the secret, participants only require measuring particles on a GHZ basis to get the corresponding information without performing operations. Through security analysis, it is shown that any eavesdropper or dishonest participant will be detected. Efficiency analysis indicates that the proposed protocol substantially reduces costs and significantly enhances efficiency. As the number of participants increases, the resource consumption of the proposed protocol becomes much lower than that of other QSS protocols. In summary, the proposed protocol efficiently achieves unconditional security in QSS, ensuring the secure transmission and sharing of quantum information.

Authors

Institutions

Publication Details

Published
2024-09-15
DOI
https://doi.org/10.1109/qce60285.2024.10311
Primary Topic
Quantum Computing Algorithms and Architecture
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Enhanced Quantum Secret Sharing with Reduced Resource Consumption through GHZ Entanglement

Shu–Yu Kuo, Sy‐Yen Kuo, Yao–Hsin Chou, Chia‐Lin Liu et al.
Quantum Computing Algorithms and Architecture
article

Enhanced Quantum Secret Sharing with Reduced Resource Consumption through GHZ Entanglement

Shu–Yu Kuo, Sy‐Yen Kuo, Yao–Hsin Chou, Chia‐Lin Liu, Yu-Chi Jiang
article en

Abstract

Quantum secret sharing (QSS) is a crucial quantum cryptographic method that provides unconditional secu-rity through the principles of quantum mechanics and enables practical applications in information security and distributed computing. Many QSS protocols have been proposed based on various quantum properties and operations. In this study, we propose a new and efficient multiparty quantum secret sharing protocol that utilizes entanglement swapping with the Greenberger-Horne-Zeilinger (GHZ) state and introduces a novel structure to efficiently and securely distribute and recover secrets. Due to entanglement swapping, participants can entangle systems without directly interacting with each other, enhancing practical usage. Through GHZ entanglement swapping, initial particle states cannot be directly inferred. The proposed QSS protocol leverages this property to encode information among participants. To decode the secret, participants only require measuring particles on a GHZ basis to get the corresponding information without performing operations. Through security analysis, it is shown that any eavesdropper or dishonest participant will be detected. Efficiency analysis indicates that the proposed protocol substantially reduces costs and significantly enhances efficiency. As the number of participants increases, the resource consumption of the proposed protocol becomes much lower than that of other QSS protocols. In summary, the proposed protocol efficiently achieves unconditional security in QSS, ensuring the secure transmission and sharing of quantum information.

National Taiwan University (TW), National Chi Nan University (TW), Princeton University (US), National Center for Theoretical Sciences (TW), National Center for Theoretical Sciences, Physics Division
Decent work and economic growth
Openalex Percentile: Top 77%
Quantum Computing Algorithms and Architecture
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.

Enhanced Quantum Secret Sharing with Reduced Resource Consumption through GHZ Entanglement — Shu–Yu Kuo, Sy‐Yen Kuo, et al. · (2024) | TGRS Research Map | TGRS