Quantum computing is the primary concern against security and privacy issues; And it is known that no digital assets have provable ownership in the post-quantum age. As a digital asset or investing method, cryptocurrencies are not far from this fact. This study presents a practical and comprehensive framework to secure current cryptocurrencies against quantum computers by offering a hard fork. The currently-using cryptocurrencies can apply the mentioned hard fork for providing security in the post-quantum age. To keep the currencies’ previous values in their post-quantum forks, the mentioned hard fork is designed based on a 1-to-1 proof of burn (PoB) consensus: a hash function and hash-based signature as two quantum-secure tools, are applied to prepare the migration to the quantum-secure fork. For example, and to show that the hard fork works, the quantum-secure fork of Bitcoin (QBTC) will be presented and analyzed in the heuristic form.
Quantum computing is the primary concern against security and privacy issues; And it is known that no digital assets have provable ownership in the post-quantum age. As a digital asset or investing method, cryptocurrencies are not far from this fact. This study presents a practical and comprehensive framework to secure current cryptocurrencies against quantum computers by offering a hard fork. The currently-using cryptocurrencies can apply the mentioned hard fork for providing security in the post-quantum age. To keep the currencies’ previous values in their post-quantum forks, the mentioned hard fork is designed based on a 1-to-1 proof of burn (PoB) consensus: a hash function and hash-based signature as two quantum-secure tools, are applied to prepare the migration to the quantum-secure fork. For example, and to show that the hard fork works, the quantum-secure fork of Bitcoin (QBTC) will be presented and analyzed in the heuristic form.
Quantum computers pose a fundamental threat to blockchain systems that rely on elliptic-curve cryptography. This work reviews the quantum vulnerabilities and associated economic risks of major blockchain platforms, with a focus on Bitcoin, Ethereum, and Solana. We distinguish between at-rest, on-spend, and on-setup attacks and identify the blockchain components most exposed to quantum adversaries. We further review practical migration strategies toward post-quantum security, including NIST-standardized digital signatures and emerging solutions for Solana, Algorand, and Ethereum.
The key cryptographic protocols used to secure the internet and financial transactions of today are all susceptible to attack by the development of a sufficiently large quantum computer. One particular area at risk is cryptocurrencies, a market currently worth over 100 billion USD. We investigate the risk posed to Bitcoin, and other cryptocurrencies, by attacks using quantum computers. We find that the proof-of-work used by Bitcoin is relatively resistant to substantial speedup by quantum computers in the next 10 years, mainly because specialized ASIC miners are extremely fast compared to the estimated clock speed of near-term quantum computers. On the other hand, the elliptic curve signature scheme used by Bitcoin is much more at risk, and could be completely broken by a quantum computer as early as 2027, by the most optimistic estimates. We analyze an alternative proof-of-work called Momentum, based on finding collisions in a hash function, that is even more resistant to speedup by a quantum computer. We also review the available post-quantum signature schemes to see which one would best meet the security and efficiency requirements of blockchain applications.
This paper examines the growing threat that quantum computing presents to blockchain security. Core blockchain cryptographic frameworks, specifically the Elliptic Curve Digital Signature Algorithm and the Secure Hash Algorithm 256, are vulnerable to quantum algorithms. Both the Shor algorithm and the Grover algorithm are capable of breaking the Elliptic Curve Digital Signature Algorithm, enabling attackers to calculate private keys from public keys, while the Grover algorithm can also compromise hash-based systems that depend on brute-force methods, such as Proof-of-Work. On-chain analysis indicates that billions of dollars’ worth of crypto-assets are held in addresses susceptible to these quantum attacks. A proposed countermeasure is migration to Post-Quantum Cryptography, which incorporates quantum-resistant algorithms, such as CRYSTALS-Dilithium and Falcon. However, this migration introduces a trilemma among network security, decentralization, and performance. Post-Quantum Cryptography algorithms significantly increase transaction sizes and computational costs, which pose economic and technical challenges for large blockchain networks. The paper further discusses how the timeline for quantum advancements will be shaped by geopolitical competition, and how the catch-the-crop, decrypt-later strategy puts current data at risk from future quantum decryption. It emphasizes that active migration to Post-Quantum Cryptography is urgent, calling on stakeholders to prioritize system audits, transition to cryptographically flexible infrastructures, promote research into quantum-resistant solutions, and establish governance frameworks that enable prompt and decentralized upgrades.
The advent of Quantum Computing (QC) poses significant threats to the cryptographic foundations of Blockchain (BC) systems, as quantum algorithms like Shor’s and Grover’s undermine the security of public-key cryptography and hash functions. This research conducts a comprehensive risk assessment of quantum vulnerabilities across critical BC components, including consensus mechanisms, smart contracts, and digital wallets. Leveraging the STRIDE threat modeling framework, we analyze threat vectors specific to QC, identifying key areas most susceptible to quantum-enabled attacks, such as private key compromise, consensus disruptions, and smart contract integrity risks. Our contributions provide actionable mitigation strategies, including a detailed security blueprint for quantum resilience, encompassing the integration of Post-Quantum Cryptography (PQC) and the adoption of quantum-resistant hash functions. We offer implementation best practices, focusing on key management, secure coding, and network security to strengthen BC components against quantum threats. To mitigate the risk of QC during transition from classical to quantum-resistant BCs, we present two hybrid BC architectures. As part of a comprehensive quantum resilience strategy, these architectures facilitate a secure and scalable migration by integrating platform-specific adaptations that balance security, adaptability, and operational efficiency. Our analysis extends to major BC platforms, including Bitcoin, Ethereum, Ripple, Litecoin, and Zcash, providing platform-specific vulnerability assessments and highlighting unique weaknesses in the quantum era. By identifying vulnerabilities, developing proactive defense strategies, and adopting a structured hybrid migration approach, this research equips BC stakeholders with a robust framework to achieve long-term quantum resilience. Finally, we explore challenges and research directions for integrating emerging technologies, including quantum machine learning, Artificial Intelligence (AI), and Web3, with BC systems, and discuss new threats that may arise from this convergence in the QC era.
The rapid advancement of quantum computing presents a fundamental challenge to modern cryptographic security, particularly in the domain of hash functions that ensure data integrity, authentication, and blockchain security. Traditional crypto graphic hash functions such as SHA-256, SHA-3, and BLAKE2 rely on computational hardness assumptions that become obsolete in the presence of large-scale quantum computers. Shor’s algorithm can efficiently break RSA and ECC-based cryptosys tems, while Grover’s algorithm reduces the security of traditional hash functions by square root complexity, significantly weakening their preimage and collision resistance. This quantum threat necessitates the development of post-quantum secure hashing techniques that remain resilient against both classical and quantum adversaries. This paper proposes Quantum Hashing, a novel cryptographic framework that integrates quantum entanglement, lattice-based cryptography, and hybrid quantum classical hashing to construct post-quantum secure hash functions. We introduce a formal model for Quantum Collision Resistance (QCR) and provide entropy-based ran domness enhancement to ensure unpredictable hash outputs. Unlike classical hashing approaches, our framework leverages the hardness of lattice problems (e.g., Shortest Vector Problem, Learning with Errors) to withstand quantum attacks while incorpo rating Quantum Key Distribution (QKD) mechanisms to enhance entropy and key management. Furthermore, we evaluate the security of Quantum Hashing under various attack models, comparing its resistance against Grover’s search and collision attacks. We benchmark its performance against NIST Post-Quantum Cryptography (PQC) final ists, including CRYSTALS-DILITHIUM, SPHINCS+, and Falcon, demonstrating that our approach offers superior resilience while maintaining computational feasibility. Additionally, we present an implementation of Quantum Hashing using Qiskit, show casing its practical applicability in quantum circuits and quantum-secure blockchain architectures. Our findings highlight that Quantum Hashing provides a scalable, entropy-efficient, and post-quantum resilient cryptographic primitive suitable for next-generation cryptographic applications. This work paves the way for secure post-quantum digital signatures, blockchain consensus mechanisms, and zero-knowledge proof systems that require tamper-resistant hashing in a quantum computing era.
The blockchain technology has become a foundation of decentralized digital infrastructures, allowing secure, transparent, and tamper-resistant transactions in the finance and governance systems as well as supply chains ecosystems. But, existing blockchain systems are critically dependent on classical cryptography including RSA, ECDSA and hash-based primitives, which are becoming more susceptible to new entrant quantum computing. The quantum algorithm, especially Shor and Grover ones are a real challenge to the digital signatures, key exchange systems, and consensus integrity, which makes the sustainability of blockchain systems a serious concern in the long term.The practical approach of achieving quantum-resilient security without the use of quantum hardware-specific devices has seen considerable popularity in the form of Post-Quantum Cryptography (PQC). Although the literature is mostly concentrated on algorithm design, there is little work on the topic of architectural implementation of PQC in the framework of decentralized blockchain solutions. This chapter offers a systematic discussion on quantum threats, review of the most prominent families of PQC algorithms and suggests suitable deployment-related options to deploy quantum-safe cryptographic tools to blockchain systems. The chapter identifies trade-offs between security, scalability, and performance through comparative assessment and real-world case analysis, including PQC testnets in development and enterprise blockchain projects. The most important contribution of this work is the ability to introduce the gap between theory of cryptographic developments and the aspects of practical blockchain implementation challenges, providing an overall framework of the transition towards quantum-resilient distributed systems. The results would assist the researchers, practitioners and policy makers, to develop a future-proof blockchain architecture that would be in place to withstand digital trust in post-quantum age.