Paper 2022/656 Original: eprint.iacr.org/2022/656 ↗
Quantum Augmented Dual Attack
Abstract
We present a quantum augmented variant of the dual lattice attack on the Learning with Errors (LWE) problem, using classical memory with quantum random access (QRACM). Applying our results to lattice parameters from the literature, we find that our algorithm outperforms previous algorithms, assuming unit cost access to a QRACM. On a technical level, we show how to obtain a quantum speedup on the search for Fast Fourier Transform (FFT) coefficients above a given threshold by leveraging the relative sparseness of the FFT and using quantum amplitude estimation. We also discuss the applicability of the Quantum Fourier Transform in this context. Furthermore, we give a more rigorous analysis of the classical and quantum expected complexity of guessing part of the secret vector where coefficients follow a discrete Gaussian (mod \(q\)).
Metadata
- Available format(s)
PDF- Category
- Attacks and cryptanalysis
- Publication info
- Preprint.
- History
- 2023-01-05: last updated
- 2022-05-27: published
- Short URL
- https://ia.cr/2022/656
- License
- https://creativecommons.org/licenses/by/4.0/
BibTeX
@misc{cryptoeprint:2022/656,
author = {Martin R. Albrecht and Yixin Shen},
title = {Quantum Augmented Dual Attack},
howpublished = {Cryptology {ePrint} Archive, Paper 2022/656},
year = {2022},
url = {https://eprint.iacr.org/2022/656}
}