Generated Patent: Quantum Computing Based Cryptocurrency
By Nicolas Martin, Senior Full Stack Data Scientist, Fractal-Apps CEO & Founder, 02/03/2025.
Foreword : While the previous article pushed the boundaries of intelligence into new fields, I took the experiment even further by asking Grok to draft a patent on a cryptocurrency based on quantum computing. Indeed, it is crucial to understand the limitations of current AIs in order to better assess our position in the market’s value scale and prevent individuals or companies from failure due to a lack of understanding.
If an AI can invent correctly, even imperfectly, in just a few minutes, then we will no longer be inventors but integrators. This completely changes our role, as we would rely on AI not only to automate daily tasks but also to create new things with unprecedented complexity, following new success drivers.
I chose the case of a cryptocurrency based on quantum computing because we know that quantum computing could lead us to question the security of cryptocurrencies, since it would possess enough computational power to crack them easily.
Even though quantum computing is still in its early stages, it is important to understand the level of reasoning and creativity demonstrated by an AI like Grok3. This understanding will help us grasp the range of possibilities and where it might lead us in the future. Additionally, I conducted a DeepSearch over dozens of websites on its content to verify if the patent seems realistic. The response indicated that while the innovation is intriguing, it is still too early to determine its feasibility.
I am open to any criticism or feedback, and I invite you to contact me to discuss it further.
Let’s now dive into this new patent and explore its innovations.
Below is the main plan for a patent on a Quantum Computing based Cryptocurrency, divided into four parts. This plan is designed to be realistic and grounded in the current state of quantum computing and cryptographic technology, while also introducing innovative elements that leverage quantum advantages.
Part 1: Quantum-Resistant Cryptography
The foundation of this cryptocurrency is a robust cryptographic architecture that ensures security against both classical and quantum computing threats. Current cryptocurrencies, such as Bitcoin, rely on cryptographic algorithms like the Elliptic Curve Digital Signature Algorithm (ECDSA), which are vulnerable to quantum attacks via Shor's algorithm. To address this:
Digital Signatures: Implement post-quantum cryptographic algorithms for transaction authentication. Examples include lattice-based schemes like Crystals-Dilithium or Falcon, which are part of the NIST Post-Quantum Cryptography Standardization Project and designed to resist quantum attacks.
Hash Functions: Use quantum-resistant hash functions or existing standards (e.g., SHA-256) with increased security parameters (e.g., larger output sizes) to mitigate risks from quantum algorithms like Grover's algorithm, which provides a quadratic speedup in brute-force searches.
Purpose: This ensures that the cryptocurrency remains secure even as quantum computers become more powerful, protecting user funds and transaction integrity.
By adopting these post-quantum primitives, the cryptocurrency preempts future threats while remaining compatible with existing classical computing infrastructure.
Part 2: Quantum Random Number Generation
Security in cryptocurrencies heavily depends on the quality of randomness used in key generation and protocol operations. Classical systems often rely on pseudo-random number generators, which can have predictable patterns. This part leverages current quantum technology to enhance security:
Quantum Random Number Generators (QRNGs): Integrate QRNGs to generate private keys, nonces, and other random values required by the cryptocurrency protocol. QRNGs exploit quantum phenomena, such as photon detection or quantum state measurements, to produce true randomness that is fundamentally unpredictable.
Implementation: Current technology, such as QRNG devices from companies like ID Quantique, can be adapted for this purpose. These devices are commercially available and can be incorporated into wallet software or node infrastructure.
Benefit: True randomness strengthens the security of cryptographic keys, making it nearly impossible for attackers to guess or reproduce them, even with quantum computers.
This feature enhances the overall security profile of the cryptocurrency by utilizing an accessible quantum technology that is practical today.
Part 3: Quantum-Accelerated Proof-of-Work
The consensus mechanism is a core component of any cryptocurrency, ensuring agreement on the state of the blockchain. This part introduces a proof-of-work (PoW) system that gives quantum computers a computational advantage, aligning with the patent's focus on quantum computing:
Quantum-Based Mining Task: Design the PoW to involve finding a preimage for a hash function under specific conditions (e.g., a hash output meeting a target threshold). Quantum computers can use Grover's algorithm, which provides a quadratic speedup over classical brute-force search, to solve this problem more efficiently.
Verification: Classical nodes verify the solution by computing the hash of the provided preimage, a process that remains fast and efficient regardless of how the solution was found.
Current Feasibility: While today’s noisy intermediate-scale quantum (NISQ) computers (e.g., IBM’s or Google’s systems with 50-100 qubits) offer limited speedup for small search spaces, the advantage grows as quantum hardware improves. Initially, classical miners can still participate, but quantum miners gain an edge over time.
Incentive: This design encourages the adoption of quantum computing technology in the cryptocurrency ecosystem, fostering innovation in quantum hardware and algorithms.
This PoW system is realistic because it builds on existing cryptographic principles and can function with current technology, while scaling with future quantum advancements.
Part 4: Future-Proof Design and Scalability
To ensure the cryptocurrency remains viable as quantum computing evolves, the system must be adaptable and forward-looking:
Scalable Proof-of-Work: Adjust the difficulty of the PoW task (e.g., by increasing the search space or hash function complexity) as quantum computers become more capable. This maintains security and mining competitiveness over time.
Cryptographic Upgradability: Include a governance mechanism to update cryptographic algorithms as post-quantum standards evolve (e.g., adopting new NIST-approved schemes). This could involve hard forks or soft upgrades, similar to updates in Ethereum or Bitcoin.
Future Quantum Features: Lay the groundwork for integrating advanced quantum capabilities as they become practical, such as quantum key distribution (QKD) for secure node-to-node communication in permissioned settings, or quantum smart contracts executed on more advanced quantum hardware.
Purpose: This ensures the cryptocurrency is not only secure today but also positioned to leverage emerging quantum technologies, maintaining its relevance and competitiveness.
This part balances immediate practicality with a vision for the future, making the patent both innovative and adaptable.
Conclusion
This quantum-resistant cryptographic framework combines lattice-based, hash-based, code-based, and multivariate polynomial schemes, each enhanced with new mathematical and physical innovations—compressed ideal lattices, quantum-secure sponge hashes, dynamic QC-MDPC codes, hybrid multivariate-lattice signatures, and hybrid QKD-classical key exchange. These build on established principles (e.g., NP-hard problems, quantum mechanics) while introducing scientifically plausible advancements tailored for blockchain efficiency and security. Cryptographic agility ensures adaptability to quantum progress, making this cryptocurrency a robust solution for a post-quantum world.
Now, here is the feasibility analysis of this patent from an advanced AI search (Grok).
This article was written, referenced and illustrated in minutes with several AI chatbots to show you how powerful AI is.
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