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JOURNALS // Matematicheskie Voprosy Kriptografii [Mathematical Aspects of Cryptography] // Archive

Mat. Vopr. Kriptogr., 2023 Volume 14, Issue 2, Pages 111–122 (Mi mvk441)

This article is cited in 2 papers

Solving some cryptanalytic problems for lattice-based cryptosystems with quantum annealing method

I. V. Lysakov

Lomonosov Moscow State University, Moscow

Abstract: In this paper we study closest vector problem (CVP) and bounded distance decoding problem (BDD) which arise in cryptanalysis of lattice-based cryptosystems. We propose an algorithm for solving bounded distance decoding (BDD) problem using quantum annealing. We provide estimates for the number of qubits required to run this algorithm for lattices that have Hermite normal form with a single pivot element not equal to 1, and for lattices defined by the public keys of NTRUEncrypt cryptosystem.

Key words: closest vector problem, bounded distance decoding, NTRUEncrypt, quantum annealing.

UDC: 519.719.2

Received 02.IX.2022

Language: English

DOI: 10.4213/mvk441



© Steklov Math. Inst. of RAS, 2025