Quantum Implementation of Linear and Non-Linear Layers

In this paper, we consider the problem of quantum implementation of the symmetric-key ciphers. The typical ciphers in this category have two main components, the linear and the non-linear layers, we consider both. The linear layer can be described as a non-singular matrix over binary operations. The in-place implementation is one of the main considerations for implementing such layer to minimize the number of qubits. We discuss the research works that have been done to this point on this subject matter and report the improved implementation of some of the matrices. Lists of our modifications include; making it more efficient (specially for the larger matrices), consideration for quantum depth (along with a randomized algorithm for optimization), etc. We report benchmarks for the ASCON and SHA-2 linear matrices. As for the non-linear layer, the constituent block is called an substitution box (an S-box, for short). Our “DORCIS” tool presented in this paper, finds a quantum circuit with an optimized depth for given S-boxes of size 3- and 4-bit. It is a follow-up work on LIGHTER-R (which is applicable for 4-bit S-boxes only) with multiple extensions. Unlike LIGHTER-R, our DORCIS takes a quantum decomposition based on Clifford and T gates. Also, both the full quantum depth and the T depth can be optimized by DORCIS. We compare our implementation with other optimized quantum circuits shown in the other research works and show that we find an implementation with the same cost metric, or find an implementation with lower cost metric, compared other tools proposed in the literature, apart from being simpler and more efficient.

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Publication Details

Published
2024-09-16
DOI
https://doi.org/10.1109/socc62300.2024.10737862
Citations
7
Primary Topic
Quantum Information and Cryptography
Type
article
Field-Weighted Citation Impact
2.43
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article

Quantum Implementation of Linear and Non-Linear Layers

Anubhab Baksi, Sumanta Chakraborty, Siyi Wang, Hyunji Kim et al.
7 citations
Quantum Information and Cryptography
2.43
article

Quantum Implementation of Linear and Non-Linear Layers

Anubhab Baksi, Sumanta Chakraborty, Siyi Wang, Hyunji Kim, SK Hafizul Islam, Yujin Oh, Hwajeong Seo, Kyungbae Jang, Anupam Chattopadhyay, Matthew Chun, Soham Roy
article en
7 citations

Abstract

In this paper, we consider the problem of quantum implementation of the symmetric-key ciphers. The typical ciphers in this category have two main components, the linear and the non-linear layers, we consider both. The linear layer can be described as a non-singular matrix over binary operations. The in-place implementation is one of the main considerations for implementing such layer to minimize the number of qubits. We discuss the research works that have been done to this point on this subject matter and report the improved implementation of some of the matrices. Lists of our modifications include; making it more efficient (specially for the larger matrices), consideration for quantum depth (along with a randomized algorithm for optimization), etc. We report benchmarks for the ASCON and SHA-2 linear matrices. As for the non-linear layer, the constituent block is called an substitution box (an S-box, for short). Our “DORCIS” tool presented in this paper, finds a quantum circuit with an optimized depth for given S-boxes of size 3- and 4-bit. It is a follow-up work on LIGHTER-R (which is applicable for 4-bit S-boxes only) with multiple extensions. Unlike LIGHTER-R, our DORCIS takes a quantum decomposition based on Clifford and T gates. Also, both the full quantum depth and the T depth can be optimized by DORCIS. We compare our implementation with other optimized quantum circuits shown in the other research works and show that we find an implementation with the same cost metric, or find an implementation with lower cost metric, compared other tools proposed in the literature, apart from being simpler and more efficient.

Nanyang Technological University (SG), Amherst College (US), Hansung University (KR), Indian Institute of Technology Madras (IN), Indian Institute of Information Technology Allahabad (IN), University of Kalyani (IN)
Openalex Percentile: Top 9%
Quantum Information and Cryptography
2.43
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