Content area

Abstract

Symmetric private information retrieval (SPIR) protocol is proposed for users to retrieve items from a database holder without revealing the retrieval address, and meanwhile the users cannot learn any additional entries of the database. Quantum key distribution (QKD)-based quantum private queries (QPQs) are the most practical protocols for the SPIR problem. However, most existing protocols assume ideal devices. To overcome this drawback, we propose a device independent QPQ protocol based on QKD with imperfect sources and detectors. By constructing the semi-definite programming optimization problem, we give the CHSH test threshold and prove the correctness of our protocol. We use the shift and permutation post-processing technique to further improve the security. We compare the performance of our protocol with a recent full device-independent QPQ. and discuss their relative advantages. The simulation results show that our protocol improves database security, user privacy and efficiency. The number of final key bits that Alice knows is close to 1, and Bob’s guessing probability is below 0.15 in our protocol. Moreover, the proposed scheme can be used for any entanglement-based QPQ protocol to remove trust on the devices.

Details

1009240
Title
Device Independent Quantum Private Queries Based on Quantum Key Distribution
Author
Liu, Li 1   VIAFID ORCID Logo  ; Du, Qingshan 2 ; Gao, Xu 2 

 School of Communication and Information Engineering, Xi’an University of Posts and Telecommunications, Xi’an 710121, China; Shaanxi Key Laboratory of Information Communication Network and Security, Xi’an University of Posts and Telecommunications, Xi’an 710121, China 
 Xi’an Modern Control Technology Research Institute, Xi’an 710121, China; [email protected] (Q.D.); [email protected] (X.G.) 
Publication title
Volume
13
Issue
6
First page
951
Publication year
2025
Publication date
2025
Publisher
MDPI AG
Place of publication
Basel
Country of publication
Switzerland
Publication subject
e-ISSN
22277390
Source type
Scholarly Journal
Language of publication
English
Document type
Journal Article
Publication history
 
 
Online publication date
2025-03-13
Milestone dates
2025-02-12 (Received); 2025-03-12 (Accepted)
Publication history
 
 
   First posting date
13 Mar 2025
ProQuest document ID
3181569580
Document URL
https://www.proquest.com/scholarly-journals/device-independent-quantum-private-queries-based/docview/3181569580/se-2?accountid=208611
Copyright
© 2025 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
Last updated
2025-03-27
Database
ProQuest One Academic