Quantum Algorithms Threaten Security of SDLP-Based Cryptosystems: Study by Imran and Ivanyos

The Semidirect Discrete Logarithm Problem (SDLP) is a mathematical problem crucial to the security of certain cryptosystems, including the SPDHSign protocol. However, a study by Muhammad Imran and Gábor Ivanyos reveals that these cryptosystems are vulnerable to quantum attacks. The researchers used quantum algorithms to solve the SDLP in two specific instances, undermining the security assumptions of these cryptosystems. Their findings highlight the need for further research into quantum-resistant cryptosystems to protect communication protocols from the advancing capabilities of quantum computing.

What is the Semidirect Discrete Logarithm Problem (SDLP)?

The Semidirect Discrete Logarithm Problem (SDLP) is a mathematical problem that is analogous to the standard discrete logarithm problem in the semidirect product semigroup. This problem is central to the security of certain proposed cryptosystems in the family of semidirect product key exchange, including a recently proposed signature protocol called SPDHSign. The SDLP is defined in the semidirect product semigroup GmulticloserightEndG for a finite semigroup GG. Given gGσEndG and hproducttext, the SDLP(Gσ) for g and h asks to determine t.

Shor’s algorithm, which is a quantum algorithm for integer factorization, is believed not to be applicable to the SDLP because it crucially depends on commutativity. For generic semigroups, the best-known algorithm for the SDLP is based on Kuperberg’s subexponential time quantum algorithm. However, the SDLP is even easier in some important special cases.

What are the Special Cases of SDLP?

In this paper, the authors, Muhammad Imran and Gábor Ivanyos, describe quantum algorithms for the SDLP in GmulticloserightAutG for two classes of instances. The first one is when G is solvable and the second is when G is a matrix group and a power of σ with a polynomially small exponent is an inner automorphism of G. The results are further extended to groups composed of factors from these classes.

The quantum ingredients relied upon in this study are not new. They include Shor’s factoring and discrete logarithm algorithms and well-known generalizations. The authors’ findings indicate that SPDHSign and similar cryptosystems, whose security assumption is based on the presumed hardness of the SDLP in the cases described above, are insecure against quantum attacks.

What is the Impact on Cryptosystems?

The findings of this study have significant implications for the security of certain proposed cryptosystems. Specifically, the SPDHSign and similar cryptosystems, which base their security assumption on the presumed hardness of the SDLP, are found to be insecure against quantum attacks in the cases described. This means that these cryptosystems are vulnerable to being compromised by quantum computing techniques.

The authors’ work contributes to the ongoing research in quantum algorithms and quantum cryptanalysis. It highlights the need for further research and development in the field of cryptography to ensure the security of communication protocols against the advancing capabilities of quantum computing.

Who are the Authors?

The authors of this paper are Muhammad Imran and Gábor Ivanyos. Muhammad Imran is affiliated with the Department of Algebra and Geometry at the Budapest University of Technology and Economics in Hungary. Gábor Ivanyos is affiliated with the HUNREN Institute for Computer Science and Control, also in Budapest, Hungary. Their research focuses on quantum algorithms and cryptanalysis, contributing to the field of quantum computing and cryptography.

What is the Discrete Logarithm Problem (DLP)?

The Discrete Logarithm Problem (DLP) is a mathematical problem that is essential for the security of the Diffie-Hellman key exchange. This key exchange is the basis for a number of communication protocols deployed in various technological applications. The presumed difficulty of computing the DLP in certain groups is what ensures the security of these protocols.

However, the development of quantum computing techniques, such as Shor’s algorithm, poses a threat to the security of these protocols. This is because these quantum algorithms can potentially solve the DLP more efficiently than classical algorithms, thereby compromising the security of the Diffie-Hellman key exchange.

What is the Role of Quantum Algorithms in Cryptography?

Quantum algorithms, such as Shor’s algorithm and Kuperberg’s subexponential time quantum algorithm, play a significant role in the field of cryptography. These algorithms can potentially solve certain mathematical problems, such as the DLP and SDLP, more efficiently than classical algorithms. This has significant implications for the security of cryptosystems that rely on the presumed hardness of these problems.

The findings of this study highlight the potential vulnerability of certain cryptosystems to quantum attacks. This underscores the importance of developing quantum-resistant cryptosystems to ensure the security of communication protocols in the era of quantum computing.

Publication details: “Efficient quantum algorithms for some instances of the semidirect discrete logarithm problem”
Publication Date: 2024-05-21
Authors: Muhammad Imran and Gábor Ivanyos
Source: Designs, codes and cryptography
DOI: https://doi.org/10.1007/s10623-024-01416-8

Quantum News

Quantum News

There is so much happening right now in the field of technology, whether AI or the march of robots. Adrian is an expert on how technology can be transformative, especially frontier technologies. But Quantum occupies a special space. Quite literally a special space. A Hilbert space infact, haha! Here I try to provide some of the news that is considered breaking news in the Quantum Computing and Quantum tech space.

Latest Posts by Quantum News:

Multiverse Computing Launches HyperNova 60B 2602, 50% Compressed LLM, on Hugging Face

Multiverse Computing Launches Quantum Inspired HyperNova 60B 2602, 50% Compressed LLM, on Hugging Face

February 24, 2026
AWS Quantum Technologies Blog: New QGCA Outperforms Simulated Annealing on Complex Optimization Problems

AWS Quantum Technologies Blog: New QGCA Outperforms Simulated Annealing on Complex Optimization Problems

February 23, 2026
AWS Quantum Technologies has released version 0.11 of the Qiskit-Braket provider on February 20, 2026, significantly enhancing how users access and utilize Amazon Braket’s quantum computing services through the popular Qiskit framework. This update introduces new “BraketEstimator” and “BraketSampler” primitives, mirroring Qiskit routines for improved performance and feature integration with Amazon Braket program sets. Importantly, the provider now fully supports Qiskit 2.0 while maintaining compatibility with versions as far back as v0.34.2, allowing users to “use a richer set of tools for executing quantum programs on Amazon Braket.” The release unlocks flexible compilation features, enabling circuits to be compiled directly for Braket devices using the to_braket function, accepting inputs from Qiskit, Braket, and OpenQASM3.

AWS Quantum Technologies Releases Qiskit-Braket Provider v0.11, Now Compatible with Qiskit 2.0

February 23, 2026