On the SVP for Anti-Circulant Lattices
- 1School of Cyberspace, Hangzhou Dianzi University, Hangzhou 310018, China
- 2Zhejiang Provincial Key Laboratory of Sensitive Data Security and Confidentiality Governance, Hangzhou Dianzi University, Hangzhou 310018, China
Abstract
The Shortest Vector Problem (SVP) is the computational foundation of lattice-based cryptography, and its hardness on structured lattices directly impacts the security of NIST-standardized schemes such as Kyber and Dilithium. This paper investigates the SVP on anti-circulant lattices, studies the algebraic structure underlying the polynomial ring Z[x]/(xn+1), and reveals a fundamental distinction from their circulant counterparts. Using the convex body restriction strategy, we prove that for n≤3, every SVP solution has coefficients in {0,±1} unconditionally, and for n=4,5,6, explicit coefficient bounds hold under mild conditions on the lattice parameters. For higher dimensions up to n=50, experiments with an exact SVP show that with probability ≥95%, there exists an SVP solution with coefficients in {0,±1}, and with probability ≥97%, and there exists one with coefficients in {0,±1,±2}. All experiments are computed with the exact SVP, without using any approximation algorithm as the primary oracle.
Related
- Integral homology lattices of matching and circulant complexes
- A study on Type-2 isomorphic circulant graphs. Part 3: 384 pairs of Type-2 isomorphic circulant graphs C32(R)
- A study on Type-2 isomorphic circulant graphs. Part 4: 960 triples of Type-2 isomorphic circulant graphs C54(R)
- A Study on Type-2 Isomorphic Circulant Graphs: Part 7: C432(R), C6750(S) - each has 2 types of Type-2 isomorphic circulant graphs
- v-numbers of powers of edge ideals of cubic circulant graphs
BibTeX
@article{hu2026anticirculant,
title = {{On the SVP for Anti-Circulant Lattices}},
author = {Gengran Hu},
journal = {Axioms},
year = {2026},
month = oct,
doi = {10.3390/axioms15110802},
url = {https://www.mdpi.com/2075-1680/15/11/802},
note = {CC BY 4.0},
}
RIS
TY - JOUR
TI - On the SVP for Anti-Circulant Lattices
AU - Gengran Hu
PY - 2026
DA - 2026/10/28
JO - Axioms
DO - 10.3390/axioms15110802
UR - https://www.mdpi.com/2075-1680/15/11/802
AB - The Shortest Vector Problem (SVP) is the computational foundation of lattice-based cryptography, and its hardness on structured lattices directly impacts the security of NIST-standardized schemes such as Kyber and Dilithium. This paper investigates the SVP on anti-circulant lattices, studies the algebraic structure underlying the polynomial ring Z[x]/(xn+1), and reveals a fundamental distinction from their circulant counterparts. Using the convex body restriction strategy, we prove that for n≤3, every SVP solution has coefficients in {0,±1} unconditionally, and for n=4,5,6, explicit coefficient bounds hold under mild conditions on the lattice parameters. For higher dimensions up to n=50, experiments with an exact SVP show that with probability ≥95%, there exists an SVP solution with coefficients in {0,±1}, and with probability ≥97%, and there exists one with coefficients in {0,±1,±2}. All experiments are computed with the exact SVP, without using any approximation algorithm as the primary oracle.
SN - 2075-1680
ER -