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International Journal of Research in Engineering Science and Management

Quantum Threats to Classical Cryptography: A Mathematical and Algorithmic Perspective

Aman Shajee

Published May 17, 2025• 0 citations
OpenAlex

Abstract

Quantum computing offers transformative computational power by harnessing phenomena such as superposition and entanglement. Yet, this potential simultaneously poses severe risks to classical cryptographic systems. In this paper, we explore how quantum algorithms, most notably Shor’s algorithm for integer factorization and Grover’s algorithm for unstructured search, could break widely deployed cryptographic schemes. We present a rigorous mathematical analysis of these quantum algorithms, compare their complexity with classical methods, and examine their impact on public-key and symmetric cryptography. Finally, we discuss potential countermeasures, including post-quantum cryptographic solutions, to safeguard data in the quantum era.

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Quantum computing offers transformative computational power by harnessing phenomena such as superposition and entanglement. Yet, this potential simultaneously poses severe risks to classical cryptographic systems. In this paper, we explore how quantum algorithms, most notably Shor’s algorithm for integer factorization and Grover’s algorithm for unstructured search, could break widely deployed cryptographic schemes. We present a rigorous mathematical analysis of these quantum algorithms, compare their complexity with classical methods, and examine their impact on public-key and symmetric cryptography. Finally, we discuss potential countermeasures, including post-quantum cryptographic solutions, to safeguard data in the quantum era.
This paper investigates the potential impact of quantum computing on the security of currently deployed cryptographic algorithms. The core premise is that the advent of powerful quantum computers, leveraging algorithms like Shor's algorithm and Grover's algorithm, poses a significant threat to widely used public-key cryptosystems and symmetric-key algorithms. We present a theoretical analysis of several key algorithms – RSA, ECC, and AES – examining their vulnerabilities when subjected to quantum attacks. Specifically, we explore the exponential speedup offered by Shor's algorithm for factoring large numbers, the impact on the key size of ECC, and the Grover's algorithm's influence on symmetric key search. Our work highlights the urgency of transitioning to post-quantum cryptography standards to mitigate the risks posed by this technological advancement. The goal is to provide a comprehensive understanding of the landscape of quantum cryptanalysis and its implications for the future of secure communication.
Quantum computing poses a fundamental threat to modern cryptographic protocols by exploiting quantum algorithms that surpass classical computational limits. Shor’s algorithm can efficiently factor large integers, breaking RSA and other public-key cryptosystems, while Grover’s algorithm accelerates brute-force attacks against symmetric encryption. As quantum hardware advances, traditional cryptographic schemes risk obsolescence, necessitating the development of quantum-resistant cryptographic techniques. This paper explores the theoretical foundations of quantum cryptanalysis, examining key algorithms, their implications for cybersecurity, and the current state of post-quantum cryptographic solutions. By analyzing resource estimates for quantum attacks and potential mitigation strategies, this study provides a comprehensive overview of the evolving cryptographic landscape in the quantum era.
The advent of quantum computing poses an existential threat to classical cryptographic systems. Shor’s algorithm (1994) can factor large integers and compute discrete logarithms in polynomial time, breaking widely used schemes like RSA, ECC, and Diffie-Hellman. This paper surveys the state-of-the-art in quantum cryptanalysis, examining its impact on symmetric and asymmetric cryptography, recent progress in quantum attacks, and defenses via post-quantum cryptography (PQC). We analyze key quantum algorithms (Shor’s, Grover’s), their real-world feasibility given current hardware (NISQ-era limitations), and emerging PQC standards (NIST’s CRYSTALS-Kyber, Dilithium). We also discuss novel attack vectors (e.g., hybrid quantum-classical cryptanalysis) and future research directions.
Quantum computing can be regarded as a disruptive enabling technology that can pose a threat to traditional cryptography as it invented new approaches to encrypt data. This paper will compare the level of security that accompanies quantum algorithms as well as the level of efficiency. Specifically, we examine the impact of efficient quantum computing on traditional cryptography and propose techniques against quantum invasions. Four quantum algorithms are analyzed for their efficiency and security benefits in the post-quantum era: Grover’s Algorithm, Shor’s Algorithm, The Quantum Key Distribution (QKD), Lattice-based cryptography. The results reveal that Grover’s algorithm improves search time complexity from O(n) to O(√n), which is advantageous over large data sets. As it will be clear shortly, Shor’s algorithm challenges RSA encryption because it outperforms classical algorithms in factoring large integers. QKD presents secure key exchange protocols that cannot be breached notwithstanding the attempts made using quantum computing. Lattice-based schemes are quantum-resistant alternatives based on the security of certain hard mathematical problems. Based on our experimental results, computational efficiency can be improved, but new cryptographic systems will have to be developed for the mitigation of quantum-related vulnerabilities. This research shows the importance of quantum-resistant cryptographic techniques to ensure data security in the emerging quantum computing era.
The advent of quantum computing presents a paradigm shift in the field of cryptanalysis, challenging the security of classical encryption schemes that underpin modern digital communications. This study explores the capabilities of quantum algorithms, particularly Shor's algorithm and Grover's algorithm, in undermining widely used cryptographic systems. Shor's algorithm poses a direct threat to publickey cryptosystems such as RSA and ECC by enabling efficient integer factorization and discrete logarithm computation, which are computationally infeasible for classical computers. Meanwhile, Grover's algorithm provides a quadratic speedup for bruteforce attacks on symmetric-key cryptosystems like AES, significantly reducing their effective security. Through theoretical analysis and simulation-based evaluation, this paper highlights the vulnerabilities of classical encryption in the face of quantum advances and underscores the urgent need for post-quantum cryptographic solutions. The findings emphasize the critical importance of transitioning to quantum-resistant algorithms to ensure long-term data confidentiality in a future dominated by quantum technologies.
Cryptography has long been an essential tool in safeguarding digital communication and securing sensitive information. As technology has progressed, so has the complexity of the methods used to protect our data. In the wake of quantum computing's rise, traditional cryptographic systems face serious challenges, demanding a new understanding of how quantum algorithms could both undermine and enhance security. Chapter 1 deals with the Basics of Cryptography lays the groundwork by introducing classical cryptography, tracing its evolution from ancient ciphers to modern cryptosystems. In Chapter 2, readers are introduced to Quantum Algorithms, the principles of quantum mechanics relevant to computing, including qubits, superposition, and entanglement. The Chapter 3 focuses on Shor’s algorithm, a landmark quantum algorithm that threatens the security of widely used public-key cryptosystems like RSA and ECC. In Chapter 4 Grover’s Algorithm is examined in the context of brute-force attacks on symmetric key cryptography. Chapter 5 focusing on Simon’s Algorithm and its role in breaking cryptographic primitives through structure exploitation. In Chapter 6 a broader discussion about Cryptographic Implications of Quantum Computing is given on how quantum computing affects modern cryptographic systems. Finally, in Chapter 7, the future of cryptography in the quantum era is discussed.