Litcius/Paper detail

Capacity of Quantum Private Information Retrieval With Multiple Servers

Seunghoan Song, Masahito Hayashi

2020IEEE Transactions on Information Theory28 citationsDOIOpen Access PDF

Abstract

We study the capacity of quantum private information retrieval (QPIR) with multiple servers. In the QPIR problem with multiple servers, a user retrieves a classical file by downloading quantum systems from multiple servers each of which contains the copy of a classical file set while the identity of the downloaded file is not leaked to each server. The QPIR capacity is defined as the maximum rate of the file size over the whole dimension of the downloaded quantum systems. When the servers are assumed to share prior entanglement, we prove that the QPIR capacity with multiple servers is 1 regardless of the number of servers and files. We construct a rate-one protocol only with two servers. This capacity-achieving protocol outperforms its classical counterpart in the sense of the capacity, server secrecy, and upload cost. The strong converse bound is derived concisely without using any secrecy condition. We also prove that the capacity of multi-round QPIR is 1.

Topics & Concepts

ServerConverseComputer scienceUploadPrivate information retrievalComputer networkSecrecyProtocol (science)Construct (python library)Theoretical computer scienceSet (abstract data type)Upper and lower boundsFile sizeDimension (graph theory)File serverQuantumInformation theoryCapacity planningInformation-theoretic securityDistributed computingInformation retrievalQuantum Information and CryptographyQuantum Mechanics and ApplicationsQuantum Computing Algorithms and Architecture
Capacity of Quantum Private Information Retrieval With Multiple Servers | Litcius