Paper 2026/2003

NP-Hardness of Ideal Lattice Problems

Daniel E. Martin, Clemson University
Abstract

We establish the worst-case hardness of several ideal lattice problems (including SVP and CVP) in the $\ell_2$ norm by providing a dimension-preserving, deterministic polynomial time reduction from their generic lattice versions. The reduction constructs an ideal lattice in the canonical embedding of a number field that approximates some input lattice up to scaling and orthogonal transformation. The integers defining the ideal and the ambient number ring, in particular its discriminant, are all polynomial in bit length relative to the generic input lattice. Furthermore, the ideal is invertible, the ring is monogenic, and the number field is totally real. If the number ring is also required to be a full ring of integers, the reduction conjecturally succeeds in bounded-error quantum polynomial time.

Metadata
Available format(s)
PDF
Category
Public-key cryptography
Publication info
Preprint.
Keywords
ideal latticesshortest vector problemclosest vector problem
Contact author(s)
dem6 @ clemson edu
History
2026-09-14: approved
2026-09-13: received
See all versions
Short URL
https://ia.cr/2026/2003
License
Creative Commons Attribution
CC BY

BibTeX

@misc{cryptoeprint:2026/2003,
      author = {Daniel E. Martin},
      title = {{NP}-Hardness of Ideal Lattice Problems},
      howpublished = {Cryptology {ePrint} Archive, Paper 2026/2003},
      year = {2026},
      url = {https://eprint.iacr.org/2026/2003}
}
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