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On the Capacity of Quantum Private Information Retrieval From MDS-Coded and Colluding Servers

Matteo Allaix, Seunghoan Song, Lukas Holzbaur, Tefjol Pllaha, Masahito Hayashi, Camilla Hollanti

2022IEEE Journal on Selected Areas in Communications21 citationsDOIOpen Access PDF

Abstract

In quantum private information retrieval (QPIR), a user retrieves a classical file from multiple servers by downloading quantum systems without revealing the identity of the file. The QPIR capacity is the maximal achievable ratio of the retrieved file size to the total download size. In this paper, the capacity of QPIR from MDS-coded and colluding servers is studied for the first time. Two general classes of QPIR, called stabilizer QPIR and dimension-squared QPIR induced from classical strongly linear PIR are defined, and the related QPIR capacities are derived. For the non-colluding case, the general QPIR capacity is derived when the number of files goes to infinity. A general statement on the converse bound for QPIR with coded and colluding servers is derived showing that the capacities of stabilizer QPIR and dimension-squared QPIR induced from any class of PIR are upper bounded by twice the classical capacity of the respective PIR class. The proposed capacity-achieving scheme combines the star-product scheme by Freij-Hollanti <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">et al.</i> and the stabilizer QPIR scheme by Song <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">et al.</i> by employing (weakly) self-dual Reed–Solomon codes.

Topics & Concepts

ServerConverseComputer scienceUploadUpper and lower boundsBounded functionQuantumDiscrete mathematicsTheoretical computer scienceComputer networkMathematicsPhysicsWorld Wide WebMathematical analysisGeometryQuantum mechanicsQuantum Computing Algorithms and ArchitectureQuantum Information and CryptographyQuantum-Dot Cellular Automata
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