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Improving on the Voronoi cell based techniques of Micciancio and Voulgaris (SIAM J. Comp. 13), and Sommer, Feder and Shalvi (SIAM J. Disc. Math. 09), we give a Las Vegas $\tilde{O}(2^n)$ expected time and space algorithm for CVPP (the…

Data Structures and Algorithms · Computer Science 2014-12-22 Nicolas Bonifas , Daniel Dadush

Lattice-based cryptography has recently emerged as a prime candidate for efficient and secure post-quantum cryptography. The two main hard problems underlying its security are the shortest vector problem (SVP) and the closest vector problem…

Cryptography and Security · Computer Science 2019-10-04 Thijs Laarhoven

In this work, we exhibit a hierarchy of polynomial time algorithms solving approximate variants of the Closest Vector Problem (CVP). Our first contribution is a heuristic algorithm achieving the same distance tradeoff as HSVP algorithms,…

Data Structures and Algorithms · Computer Science 2020-06-12 Thomas Espitau , Paul Kirchner

We give a deterministic algorithm for solving the (1+eps)-approximate Closest Vector Problem (CVP) on any n dimensional lattice and any norm in 2^{O(n)}(1+1/eps)^n time and 2^n poly(n) space. Our algorithm builds on the lattice point…

Data Structures and Algorithms · Computer Science 2013-01-01 Daniel Dadush , Gabor Kun

We give a $2^{n+o(n)}$-time and space randomized algorithm for solving the exact Closest Vector Problem (CVP) on $n$-dimensional Euclidean lattices. This improves on the previous fastest algorithm, the deterministic…

Data Structures and Algorithms · Computer Science 2019-01-28 Divesh Aggarwal , Daniel Dadush , Noah Stephens-Davidowitz

The Closest Vector Problem (CVP) is a computational problem in lattices that is central to modern cryptography. The study of its fine-grained complexity has gained momentum in the last few years, partly due to the upcoming deployment of…

Data Structures and Algorithms · Computer Science 2025-01-08 Amir Abboud , Rajendra Kumar

The closest vector problem (CVP) is a fundamental optimization problem in lattice-based cryptography and its conjectured hardness underpins the security of lattice-based cryptosystems. Furthermore, Schnorr's lattice-based factoring…

Cryptography and Security · Computer Science 2025-10-23 Max O. Al-Hasso , Marko von der Leyen

In this paper we consider the closest vector problem (CVP) for lattices $\Lambda \subseteq \mathbb{Z}^n$ given by a generator matrix $A\in \mathcal{M}_{n\times n}(\mathbb{Z})$. Let $b>0$ be the maximum of the absolute values of the entries…

Cryptography and Security · Computer Science 2023-04-10 Eduardo Canale , Claudio Qureshi , Alfredo Viola

We revisit the approximate Voronoi cells approach for solving the closest vector problem with preprocessing (CVPP) on high-dimensional lattices, and settle the open problem of Doulgerakis-Laarhoven-De Weger [PQCrypto, 2019] of determining…

Data Structures and Algorithms · Computer Science 2019-07-11 Thijs Laarhoven

$ \newcommand{\SVP}{\textsf{SVP}} \newcommand{\CVP}{\textsf{CVP}} \newcommand{\eps}{\varepsilon} $We show a number of reductions between the Shortest Vector Problem and the Closest Vector Problem over lattices in different $\ell_p$ norms…

Data Structures and Algorithms · Computer Science 2021-04-15 Divesh Aggarwal , Yanlin Chen , Rajendra Kumar , Zeyong Li , Noah Stephens-Davidowitz

The closest vector problem (CVP) and shortest (nonzero) vector problem (SVP) are the core algorithmic problems on Euclidean lattices. They are central to the applications of lattices in many problems of communications and cryptography.…

Information Theory · Computer Science 2016-11-17 Laura Luzzi , Damien Stehle , Cong Ling

We present algorithms for the $(1+\epsilon)$-approximate version of the closest vector problem for certain norms. The currently fastest algorithm (Dadush and Kun 2016) for general norms has running time of $2^{O(n)} (1/\epsilon)^n$. We…

Data Structures and Algorithms · Computer Science 2021-11-03 Márton Naszódi , Moritz Venzin

In this paper, we introduce the Maximum Distance Sublattice Problem (MDSP). We observed that the problem of solving an instance of the Closest Vector Problem (CVP) in a lattice $\mathcal{L}$ is the same as solving an instance of MDSP in the…

Computational Complexity · Computer Science 2024-10-02 Rajendra Kumar , Shashank K Mehta , Mahesh Sreekumar Rajasree

In this work, we give provable sieving algorithms for the Shortest Vector Problem (SVP) and the Closest Vector Problem (CVP) on lattices in $\ell_p$ norm ($1\leq p\leq\infty$). The running time we obtain is better than existing provable…

Data Structures and Algorithms · Computer Science 2021-12-21 Priyanka Mukhopadhyay

The NP-hardness of the closest vector problem (CVP) is an important basis for quantum-secure cryptography, in much the same way that integer factorisation's conjectured hardness is at the foundation of cryptosystems like RSA. Recent work…

Quantum Physics · Physics 2026-03-16 Ben Priestley , Petros Wallden

$ \newcommand{\eps}{\varepsilon} \newcommand{\problem}[1]{\ensuremath{\mathrm{#1}} } \newcommand{\CVP}{\problem{CVP}} \newcommand{\SVP}{\problem{SVP}} \newcommand{\CVPP}{\problem{CVPP}} \newcommand{\ensuremath}[1]{#1} $For odd integers $p…

Computational Complexity · Computer Science 2019-01-28 Huck Bennett , Alexander Golovnev , Noah Stephens-Davidowitz

In this paper, we present a deterministic algorithm for the closest vector problem for all l_p-norms, 1 < p < \infty, and all polyhedral norms, especially for the l_1-norm and the l_{\infty}-norm. We achieve our results by introducing a new…

Data Structures and Algorithms · Computer Science 2011-09-27 Johannes Blömer , Stefanie Naewe

A particular instance of the Shortest Vector Problem (SVP) appears in the context of Compute-and-Forward. Despite the NP-hardness of the SVP, we will show that this certain instance can be solved in complexity order $O(n\psi\log(n\psi))$…

Information Theory · Computer Science 2017-11-28 Saeid Sahraei , Michael Gastpar

An influential result by Dor, Halperin, and Zwick (FOCS 1996, SICOMP 2000) implies an algorithm that can compute approximate shortest paths for all vertex pairs in $\tilde{O}(n^{2+O\left(\frac{1}{k}\right )})$ time, ensuring that the output…

Data Structures and Algorithms · Computer Science 2025-07-29 Manoj Gupta

The most important computational problem on lattices is the Shortest Vector Problem (SVP). In this paper, we present new algorithms that improve the state-of-the-art for provable classical/quantum algorithms for SVP. We present the…

Data Structures and Algorithms · Computer Science 2025-08-19 Divesh Aggarwal , Yanlin Chen , Rajendra Kumar , Yixin Shen
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