2025/06/20 by Gao, Shuhong · 1 citation
#11H06 (secondary) #68Q25 (primary) #Computational Complexity (cs.CC) #F.2.2 #FOS: Computer and information sciences
paper · doi:10.48550/arxiv.2506.16662
The current paper investigates the bounded distance decoding (BDD) problem for ensembles of lattices whose generator matrices have sub-Gaussian entries. We first prove that, for these ensembles the BDD problem is NP-hard in the worst case. Then, we introduce a polynomial-time algorithm based on singular value decomposition (SVD) and establish, both theoretically and through extensive experiments, that, for a random selected lattice from the same ensemble, the algorithm solves the BDD problem with high probability. To the best of our knowledge, this work provides the first example of a lattice problem that is NP-hard in the worst case yet admits a polynomial time algorithm on the average case.