AI and Quantum Computing Threaten Cryptography

AI and Quantum Computing: A New Threat to Cryptography

Artificial Intelligence (AI) accelerates the development of quantum computing, which could threaten the resilience of modern cryptography. This is reported by CoinDesk, citing the opinions of technology experts.

Breakthrough in Machine Learning

Alex Pruden, the head of Project Eleven, noted that machine learning is used to optimize error correction—one of the significant barriers to building quantum computers. AI not only serves for protection but also helps to identify vulnerabilities in cryptography and software.

Impact of AI on Scientific Research

Co-founder of NEAR Ilya Polosukhin emphasizes that AI significantly accelerates scientific research and suggests that the next generation of quantum systems will be created through its use.

Risk and Threat Scenarios

Polosukhin also pointed to the risk of the ‘collect now - decrypt later’ scenario, where encrypted traffic is intercepted in hopes of future decryption. This threat is extremely important for the crypto industry.

Most blockchains, including Ethereum, use elliptic curve cryptography. Potentially powerful quantum computers could theoretically derive private keys from public ones and compromise wallets.

Approximate Time for Breaking

In March, Google estimated that about 1200 logical qubits are needed to break 256-bit elliptic curve cryptography, significantly lower than previous calculations. The corporation plans to implement post-quantum cryptography by 2029.

Response of the Crypto Industry

The Ethereum Foundation presented a roadmap to protect the network from quantum computers with a similar date, 2029. Companies like Ripple are also presenting their plans for post-quantum readiness.

Conclusion

With the development of quantum computing and AI, modern cryptographic methods are under serious threat. Key takeaways:

• The industry must adapt to the quantum threat.
• Significant investment is required in research and the development of new protection methods.
• The combined threat from AI and quantum computing could undermine the security of blockchains and crypto-assets.

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