2022
DOI: 10.1007/s11128-022-03592-9
|View full text |Cite
|
Sign up to set email alerts
|

Leveraging the hardness of dihedral coset problem for quantum cryptography

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1

Citation Types

0
2
0

Year Published

2024
2024
2024
2024

Publication Types

Select...
1

Relationship

1
0

Authors

Journals

citations
Cited by 1 publication
(2 citation statements)
references
References 49 publications
0
2
0
Order By: Relevance
“…Therefore, the DCP assumption, being at least as hard as lattice problems, emerges as a promising candidate for quantum cryptographic applications. [60] Definition 2.3Dihedral coset problem (DCP) [53] . Given a modulus N, the input to the dihedral coset problem (DCP) is a tensor product of polynomial 𝓁 coset states, each coset state is defined by…”
Section: Dihedral Coset Problemmentioning
confidence: 99%
See 1 more Smart Citation
“…Therefore, the DCP assumption, being at least as hard as lattice problems, emerges as a promising candidate for quantum cryptographic applications. [60] Definition 2.3Dihedral coset problem (DCP) [53] . Given a modulus N, the input to the dihedral coset problem (DCP) is a tensor product of polynomial 𝓁 coset states, each coset state is defined by…”
Section: Dihedral Coset Problemmentioning
confidence: 99%
“…Therefore, the DCP assumption, being at least as hard as lattice problems, emerges as a promising candidate for quantum cryptographic applications. [ 60 ] Definition Given a modulus N$N$, the input to the dihedral coset problem (DCP) is a tensor product of polynomial ℓ$\ell$ coset states, each coset state is defined by 12(false|0,xfalse⟩+false|1,(x+s)modNfalse⟩)$$\begin{equation} \frac{1}{\sqrt {2}}(\ket {0,x}+\ket {1,(x+s)\mod {N}}) \end{equation}$$…”
Section: Preliminariesmentioning
confidence: 99%