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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 et al. and the stabilizer QPIR scheme by Song et al. by employing (weakly) self-dual Reed-Solomon codes.
Original language | English |
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Pages (from-to) | 885-898 |
Number of pages | 14 |
Journal | IEEE Journal on Selected Areas in Communications |
Volume | 40 |
Issue number | 3 |
DOIs | |
Publication status | Published - 1 Mar 2022 |
MoE publication type | A1 Journal article-refereed |
Keywords
- capacity
- information theoretic privacy
- Private information retrieval (PIR)
- quantum information theory
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- 1 Finished
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Hollanti_ICT: Secure Distributed Computation Schemes with Applications to Digitalized Remote Healthcare
Hollanti, C. (Principal investigator), Villamizar Rubiano, D. (Project Member), Hieta-aho, E. (Project Member), Sacikara, E. (Project Member), Yatsyna, P. (Project Member), Kas Hanna, S. (Project Member), Makkonen, O. (Project Member), Matala-aho, T. (Project Member), Karpuk, D. (Project Member), Bolaños, W. (Project Member) & Allaix, M. (Project Member)
01/01/2021 → 31/12/2023
Project: Academy of Finland: Other research funding