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Lecture notes in computer science

Multi-query Computationally-Private Information Retrieval with Constant Communication Rate

Jens Groth, Aggelos Kiayias, Helger Lipmaa

Published Jan 1, 2010• 215 citations
Publisher
DOI
10.1007/978-3-642-13013-7_7

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Quantum Private Information Retrieval (QPIR) is a new and growing area that uses quantum computing to improve privacy and efficiency in database searches. Traditional Private Information Retrieval (PIR) methods often require a large amount of communication between the user and the server, making them slow and costly. QPIR aims to solve this problem by using quantum techniques like superposition and entanglement to reduce communication while keeping the user’s query private. In this paper, we review different QPIR methods and analyze how they handle communication complexity. We compare multi-server and single-server models, discussing their strengths and weaknesses. We also explore the practical challenges of QPIR, such as the need for quantum resources, errors in quantum systems, and security against quantum attackers. Additionally, we highlight important research gaps, including how to make single-server QPIR more efficient, balancing security with speed, and understanding how future quantum computers might impact QPIR security. By addressing these challenges, this survey aims to support further research and help develop practical, efficient, and secure QPIR systems for real-world use.
Private Information Retrieval (PIR) protocols allow a client to retrieve any file of interest while keeping the files identity hidden from the database servers. While many existing PIR protocols assume servers to be honest but curious, we investigate the scenario of dishonest servers that provide incorrect answers to mislead clients into obtaining wrong results. We propose a unified framework for polynomial PIR protocols encompassing various existing protocols that optimize the download rate or total communication cost. We introduce a way to transform a polynomial PIR to a verifiable one without increasing the number of involved servers by doubling the queries. The security guarantees can be information-theoretic or computational, and the verification keys can be public or private. Moreover, in one of our protocols, the ratio between the additional download overhead associated with verification and the normal download cost approaches zero as the file size goes to infinity.