Good Gottesman-Kitaev-Preskill codes from the NTRU cryptosystem

IF 5.1 2区 物理与天体物理 Q1 PHYSICS, MULTIDISCIPLINARY Quantum Pub Date : 2024-07-04 DOI:10.22331/q-2024-07-04-1398
Jonathan Conrad, Jens Eisert, Jean-Pierre Seifert
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Abstract

We introduce a new class of random Gottesman-Kitaev-Preskill (GKP) codes derived from the cryptanalysis of the so-called NTRU cryptosystem. The derived codes are $good$ in that they exhibit constant rate and average distance scaling $\Delta \propto \sqrt{n}$ with high probability, where $n$ is the number of bosonic modes, which is a distance scaling equivalent to that of a GKP code obtained by concatenating single mode GKP codes into a qubit-quantum error correcting code with linear distance. The derived class of NTRU-GKP codes has the additional property that $decoding$ for a stochastic displacement noise model is equivalent to $decrypting$ the NTRU cryptosystem, such that every random instance of the code naturally comes with an efficient decoder. This construction highlights how the GKP code bridges aspects of classical error correction, quantum error correction as well as post-quantum cryptography. We underscore this connection by discussing the computational hardness of decoding GKP codes and propose, as a new application, a simple public key quantum communication protocol with security inherited from the NTRU cryptosystem.
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来自 NTRU 密码系统的优秀戈特斯曼-基塔埃夫-普雷斯基尔密码
我们介绍了一类新的随机戈特曼-基塔埃夫-普雷斯基尔(GKP)码,它们是从所谓的 NTRU 密码系统的密码分析中衍生出来的。这些派生码的优越性在于它们以很高的概率表现出恒定的速率和平均距离缩放$\Delta \propto \sqrt{n}$,其中$n$是玻色模式的数量,这相当于通过将单模GKP码串联成具有线性距离的量子纠错码而得到的GKP码的距离缩放。派生的 NTRU-GKP 码还有一个特性,即随机位移噪声模型的解码等同于解密 NTRU 密码系统,因此每个随机码实例自然都有一个高效的解码器。这种构造凸显了 GKP 代码是如何连接经典纠错、量子纠错和后量子密码学的。我们通过讨论解码 GKP 代码的计算难度来强调这种联系,并作为一种新的应用,提出了一种简单的公钥量子通信协议,其安全性继承自 NTRU 密码系统。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Quantum
Quantum Physics and Astronomy-Physics and Astronomy (miscellaneous)
CiteScore
9.20
自引率
10.90%
发文量
241
审稿时长
16 weeks
期刊介绍: Quantum is an open-access peer-reviewed journal for quantum science and related fields. Quantum is non-profit and community-run: an effort by researchers and for researchers to make science more open and publishing more transparent and efficient.
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