Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/179648
Title: Depth-optimized quantum circuits for ASCON: AEAD and HASH †
Authors: Oh, Yujin
Jang, Kyungbae
Baksi, Anubhab
Seo, Hwajeong
Keywords: Mathematical Sciences
Issue Date: 2024
Source: Oh, Y., Jang, K., Baksi, A. & Seo, H. (2024). Depth-optimized quantum circuits for ASCON: AEAD and HASH †. Mathematics, 12(9), 1337-. https://dx.doi.org/10.3390/math12091337
Journal: Mathematics 
Abstract: Quantum computing advancements pose security challenges for cryptography. Specifically, Grover’s search algorithm affects the reduction in the search complexity of symmetric-key encryption and hash functions. Recent efforts have been made to estimate the complexity of Grover’s search and evaluate post-quantum security. In this paper, we propose a depth-optimized quantum circuit implementation for ASCON, including both symmetric-key encryption and hashing algorithms, as a part of the lightweight cryptography standardization by NIST (National Institute of Standards and Technology). As far as we know, this is the first implementation of a quantum circuit for the ASCON AEAD (Authenticated Encryption with Associated Data) scheme, which is a symmetric-key algorithm. Also, our quantum circuit implementation of the ASCON-HASH achieves a reduction of more than 88.9% in the Toffoli depth and more than 80.5% in the full depth compared to the previous work. As per our understanding, the most effective strategy against Grover’s search involves minimizing the depth of the quantum circuit for the target cipher. We showcase the optimal Grover’s search cost for ASCON and introduce a proposed quantum circuit optimized for depth. Furthermore, we utilize the estimated cost to evaluate post-quantum security strength of ASCON, employing the relevant evaluation criteria and the latest advancements in research.
URI: https://hdl.handle.net/10356/179648
ISSN: 2227-7390
DOI: 10.3390/math12091337
Schools: School of Physical and Mathematical Sciences 
Rights: © 2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https:// creativecommons.org/licenses/by/ 4.0/).
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:SPMS Journal Articles

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