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基于 GHZ 态的纠缠浓缩的量子盲计算。

Greenberger-Horne-Zeilinger states-based blind quantum computation with entanglement concentration.

机构信息

Department of Computer Science, Jinan University, Guangzhou, 510632, China.

School of Data and Computer Science, Sun Yat-sen University, Guangzhou, 510006, China.

出版信息

Sci Rep. 2017 Sep 11;7(1):11104. doi: 10.1038/s41598-017-06777-w.

DOI:10.1038/s41598-017-06777-w
PMID:28894093
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5594006/
Abstract

In blind quantum computation (BQC) protocol, the quantum computability of servers are complicated and powerful, while the clients are not. It is still a challenge for clients to delegate quantum computation to servers and keep the clients' inputs, outputs and algorithms private. Unfortunately, quantum channel noise is unavoidable in the practical transmission. In this paper, a novel BQC protocol based on maximally entangled Greenberger-Horne-Zeilinger (GHZ) states is proposed which doesn't need a trusted center. The protocol includes a client and two servers, where the client only needs to own quantum channels with two servers who have full-advantage quantum computers. Two servers perform entanglement concentration used to remove the noise, where the success probability can almost reach 100% in theory. But they learn nothing in the process of concentration because of the no-signaling principle, so this BQC protocol is secure and feasible.

摘要

在盲量子计算 (BQC) 协议中,服务器的量子计算能力复杂且强大,而客户端则不然。客户端将量子计算委托给服务器并保持客户端的输入、输出和算法私有仍然是一个挑战。不幸的是,在实际传输中量子通道噪声是不可避免的。本文提出了一种基于最大纠缠 Greenberger-Horne-Zeilinger(GHZ)态的新型 BQC 协议,该协议不需要可信中心。该协议包括一个客户端和两个服务器,其中客户端只需拥有与两个具有全优势量子计算机的服务器的量子通道。两个服务器执行纠缠浓缩以消除噪声,在理论上成功概率几乎可以达到 100%。但是由于无信号原理,它们在浓缩过程中什么也学不到,因此这个 BQC 协议是安全且可行的。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be02/5594006/31239606e387/41598_2017_6777_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be02/5594006/98cf11cec194/41598_2017_6777_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be02/5594006/3f33ba5336c5/41598_2017_6777_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be02/5594006/2446ae78088c/41598_2017_6777_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be02/5594006/31239606e387/41598_2017_6777_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be02/5594006/98cf11cec194/41598_2017_6777_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be02/5594006/3f33ba5336c5/41598_2017_6777_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be02/5594006/2446ae78088c/41598_2017_6777_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be02/5594006/31239606e387/41598_2017_6777_Fig4_HTML.jpg

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