Multi-party probabilistic quantum homomorphic encryption scheme based on Brown state

<p indent="0mm">Quantum homomorphic encryption allows computations to be performed directly on encrypted data, ensuring the security of private information. A novel multi-party probabilistic quantum homomorphic encryption scheme based on the Brown state is proposed in this study, which permits multiple clients to simultaneously delegate arbitrary quantum computations to two servers. Firstly, the trusted key center is introduced to collaborate with clients using the B92 protocol for key distribution and updating, as well as to perform operations that eliminate <italic>T</italic>-gate evaluation errors. Secondly, the proposed scheme employs pre-shared non-maximally entangled states as auxiliary resources to non-interactively address errors occurring during the homomorphic evaluation of <italic>T</italic>-gate. Lastly, the scheme leverages the properties of Brown state to extend the single-client single-server model to the multi-client multi-server model, making it more suitable for quantum distributed networks and enhancing its practicality. Moreover, this study theoretically proves the correctness, fully homomorphic nature, and information-theoretically security of the scheme. Simulations conducted on the Origin Quantum Cloud platform further validate the scheme’s effectiveness. As the proposed scheme can realize homomorphic computation of any quantum circuit, it is particularly well-suited for delegated computation in quantum cloud networks.

Authors

Publication Details

Journal
Zhongguo kexue. Wulixue Lixue Tianwenxue
Published
2024-10-25
DOI
https://doi.org/10.1360/sspma-2024-0355
Primary Topic
Cryptography and Data Security
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Multi-party probabilistic quantum homomorphic encryption scheme based on Brown state

Mingkui Liu, Zhenzhen Li, Bo Gao, Haiyang Ding et al.
Zhongguo kexue. Wulixue Lixue Tianwenxue
Cryptography and Data Security
article

Multi-party probabilistic quantum homomorphic encryption scheme based on Brown state

Mingkui Liu, Zhenzhen Li, Bo Gao, Haiyang Ding, Zichen Li
article en

Abstract

<p indent="0mm">Quantum homomorphic encryption allows computations to be performed directly on encrypted data, ensuring the security of private information. A novel multi-party probabilistic quantum homomorphic encryption scheme based on the Brown state is proposed in this study, which permits multiple clients to simultaneously delegate arbitrary quantum computations to two servers. Firstly, the trusted key center is introduced to collaborate with clients using the B92 protocol for key distribution and updating, as well as to perform operations that eliminate <italic>T</italic>-gate evaluation errors. Secondly, the proposed scheme employs pre-shared non-maximally entangled states as auxiliary resources to non-interactively address errors occurring during the homomorphic evaluation of <italic>T</italic>-gate. Lastly, the scheme leverages the properties of Brown state to extend the single-client single-server model to the multi-client multi-server model, making it more suitable for quantum distributed networks and enhancing its practicality. Moreover, this study theoretically proves the correctness, fully homomorphic nature, and information-theoretically security of the scheme. Simulations conducted on the Origin Quantum Cloud platform further validate the scheme’s effectiveness. As the proposed scheme can realize homomorphic computation of any quantum circuit, it is particularly well-suited for delegated computation in quantum cloud networks.

Zhongguo kexue. Wulixue Lixue TianwenxueVol. 55(4)
Openalex Percentile: Top 83%
Cryptography and Data Security
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.