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The Transition from Classical to Post-Quantum Cryptography

Paul Hoffman

Published May 26, 2020• 4 citations
OpenAlex

Abstract

Quantum computing is the study of computers that use quantum features in calculations. For over 20 years, it has been known that if very large, specialized quantum computers could be built, they could have a devastating effect on asymmetric classical cryptographic algorithms such as RSA and elliptic curve signatures and key exchange, as well as (but in smaller scale) on symmetric cryptographic algorithms such as block ciphers, MACs, and hash functions. There has already been a great deal of study on how to create algorithms that will resist large, specialized quantum computers, but so far, the properties of those algorithms make them onerous to adopt before they are needed. Small quantum computers are being built today, but it is still far from clear when large, specialized quantum computers will be built that can recover private or secret keys in classical algorithms at the key sizes commonly used today. It is important to be able to predict when large, specialized quantum computers usable for cryptanalysis will be possible so that organization can change to post-quantum cryptographic algorithms well before they are needed. This document describes quantum computing, how it might be used to attack classical cryptographic algorithms, and possibly how to predict when large, specialized quantum computers will become feasible.

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Quantum computing is the study of computers that use quantum features
in calculations. For over 20 years, it has been known that if very
large, specialized quantum computers could be built, they could have a
devastating effect on asymmetric classical cryptographic algorithms
such as RSA and elliptic curve signatures and key exchange, as well as
(but in smaller scale) on symmetric cryptographic algorithms such as
block ciphers, MACs, and hash functions. There has already been a
great deal of study on how to create algorithms that will resist
large, specialized quantum computers, but so far, the properties of
those algorithms make them onerous to adopt before they are needed.
Small quantum computers are being built today, but it is still far
from clear when large, specialized quantum computers will be built
that can recover private or secret keys in classical algorithms at the
key sizes commonly used today. It is important to be able to predict
when large, specialized quantum computers usable for cryptanalysis
will be possible so that organization can change to post-quantum
cryptographic algorithms well before they are needed. This document
describes quantum computing, how it might be used to attack classical
cryptographic algorithms, and possibly how to predict when large,
specialized quantum computers will become feasible.
Quantum computing holds an enormous power to transform cryptography because it protects secured communication. RSA together with elliptic curve cryptography functions based on mathematical challenges like integer factorization and discrete logarithms until quantum computers present security risks to these traditional systems. Such problems become solvable with efficiency through Shor's algorithm running on quantum computers which threatens the security of multiple widely used cryptographic protocols. The document examines quantum computing effects on cryptography to explain why quantum algorithms break classic cryptographic system security. Post-quantum cryptography (PQC) acts as a protective solution against quantum-based attacks through its mission to create cryptographic techniques which demonstrate quantum attack resilience. This paper examines quantum-age security design protocols for cryptographic keys using both quantum key distribution and lattice-based cryptography and hash-based cryptography and multivariate polynomial cryptography. The research analyzes the effectiveness and protective capability of new PQC solutions by connecting theoretical concepts with practical applications. The study points out advancements in quantum cryptography as well as the quantum hardware obstacles and the global initiative to establish post-quantum algorithms standards. The authors stress the urgent need for up-to-date quantum-resistant measures because of swift quantum technology progress. The protection of sensitive materials and communications networks from destructive quantum computing threats requires immediate focus because this need drives the necessity of properly preparing for post-quantum cryptography.
The defense of public key cryptography (PKC) lies in computational issues like the difficulty of factorizing enormous prime numbers and the discrete logarithm calculations. Such kinds of algorithms are called one-way functions because although it is straightforward to compute output given input, it is difficult to compute input if output is given. It is expected that such numerical or computational issues which are utilized in current cryptographic plans are difficult to address for an adversary utilizing present PCs. Yet, many organizations are attempting to assemble a high-powered quantum PC and in the future quantum PCs will be available for business use. Traditional asymmetric cryptographic algorithms are not secure against strong quantum machines. Shor’s algorithm running on a powerful quantum PC is able to solve integer factorization problems and discrete logarithm problems in polynomial time. So, asymmetric algorithms that are used today, like RSA, DSA and Diffie-Hellman will become insecure. Similarly, Grover’s algorithm running on a powerful quantum computer poses a serious threat to symmetric key algorithms which uses small key size. There is a need to work on alternate algorithms to resist quantum threat. NIST has already started with a process for the standardization of algorithms which are known as post-quantum cryptography (PQC) algorithms. Specialists globally are exploring progress toward post-quantum cryptography.
Traditional cryptographic systems that are based on algorithms such as RSA, ECC, and DH are becoming increasingly vulnerable to quantum-based attacks. This is especially the case attributable to algorithms such as Shor’s, which are able to factor large integers and solve discrete logarithms in an efficient manner. There has been a rapid advancement in quantum computing. There is a significant risk to the integrity, confidentiality, and security of the data that a result of this. Cryptographic algorithms that are immune to both classical and quantum attacks are the goal of post-quantum cryptography, often known as PQC. The purpose of this study is to investigate a variety of post-quantum algorithms, including lattice-based, hash-based, code-based, multivariate, and isogeny-based cryptography, and to evaluate the possibility of these algorithms to successfully defend against future quantum attacks. Within the context of real-world applications, we dissect the security assumptions, performance indicators, and issues that these algorithms present. In addition to this, we investigate the current efforts that are being made to standardize PQC through projects such as the NIST post-quantum cryptography work. In order to ensure the safety of data over the long term, this study offers some insights into the process of developing cryptographic methods that are durable in preparation for the era of quantum computing.
The advent of a full-scale quantum computer will severely impact most currently-used cryptographic systems.The most well-known aspect of this impact lies in the computational-hardness assumptions that underpin the security of most current public-key cryptographic systems: a quantum computer can factor integers and compute discrete logarithms in polynomial time, thereby breaking systems based on these problems.However, simply replacing these problems by other which are (believed to be) impervious even to a quantum computer does not completely solve the issue.Indeed, many security proofs of cryptographic systems are no longer valid in the presence of a quantum-capable attacker; while this does not automatically implies that the affected systems would be broken by a quantum computer, it does raises questions on the exact security guarantees that they can provide.This overview document aims to analyze all aspects of the impact of quantum computers on cryptographic, by providing an overview of current quantum-hard computational problems (and cryptographic systems based on them), and by presenting the security proofs that are affected by quantum-attackers, detailing what is the current status of research on the topic and what the expected effects on security are.
Web3 technologies are fundamentally secured by classical cryptographic algorithms like the Elliptic Curve Digital Signature Algorithm (ECDSA), Advanced Encryption Standard (AES), and Secure Hash Algorithms (SHA). The advent of fault-tolerant quantum computers, however, poses a significant threat to these systems. Shor’s algorithm can break the asymmetric schemes that underpin user wallets and asset ownership, while Grover’s algorithm quadratically weakens the security of symmetric ciphers and hash functions. This paper presents an integrated simulation framework, built using Python and Qiskit, to demonstrate these quantum threats in a unified context. We implement simulated attacks against simplified, small-scale instances of RSA, ECDSA, AES, and SHA to model the structural feasibility of these quantum attacks. For Shor’s algorithm, we utilize a classical simulation of the quantum oracles for modular exponentiation and elliptic curve point addition, focusing on the viability of the overall quantum-classical workflow. For Grover’s algorithm, we use standard Qiskit circuit library implementations with simplified oracles. Our findings confirm the theoretical vulnerabilities—successfully factoring RSA-15, solving the ECDLP on a toy curve, and finding keys/preimages in 8-bit search spaces. More importantly, this work highlights the practical simulation challenges and immense resource requirements for breaking production-scale keys, reinforcing the critical need for the Web3 ecosystem to transition towards post-quantum cryptography.
Cryptography is a critical technology in the modern computing industry, but the security of many cryptosystems relies on the difficulty of mathematical problems such as integer factorization and discrete logarithms. Large quantum computers can solve these problems efficiently, enabling the effective cryptanalysis of many common cryptosystems using such algorithms as Shor’s and Grover’s. If data integrity and security are to be preserved in the future, the algorithms that are vulnerable to quantum cryptanalytic techniques must be phased out in favor of quantum-proof cryptosystems. While quantum computer technology is still developing and is not yet capable of breaking commercial encryption, these steps can be taken immediately to ensure that the impending development of large quantum computers does not compromise sensitive data.