Classical and Quantum 3 and 4-Sieves to Solve SVP with Low Memory-Reference-Cited by-同舟云学术

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Classical and Quantum 3 and 4-Sieves to Solve SVP with Low Memory

Published:2023 Issue: Volume: Page:225-255
ISSN:0302-9743
Container-title:Post-Quantum Cryptography
language:
Short-container-title:

Author:

Chailloux André,Loyer Johanna

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-40003-2_9

Reference19 articles.

1. Becker, A., Ducas, L., Gama, N., Laarhoven, T.: New directions in nearest neighbor searching with applications to lattice sieving. In: Proceedings of the 2016 Annual ACM-SIAM Symposium on Discrete Algorithms (2016)

2. Bai, S., Laarhoven, T., Stehlé, D.: Tuple lattice sieving. LMS J. Comput. Math. 19, 146–162 (2016)

3. Bonnetain, X., Chailloux, A., Schrottenloher, A., Shen, Y.: Finding many collisions via reusable quantum walks (2022)

4. Bos, J., et al.:. CRYSTALS-Kyber: a CCA-secure module-lattice-based KEM. IEEE (2018)

5. Brassard, G., Hoeyer, P., Mosca, M., Tapp, A.: Quantum amplitude amplification and estimation. In: Quantum Computation and Quantum Information: A Millennium, vol. 305, pp. 53–74 (2002)

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Survey of Algorithms for Addressing the Shortest Vector Problem (SVP);Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering;2024

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