TechFlow News, May 24: According to a CoinDesk report, multiple researchers specializing in post-quantum cryptography and blockchain security state that AI is accelerating the development of quantum computing and compelling the cryptographic industry to reevaluate the reliability of existing security frameworks.
Alex Pruden, CEO of Project Eleven, noted that researchers are already leveraging machine learning to optimize quantum error correction—a major engineering bottleneck in quantum computing. Illia Polosukhin, co-founder of NEAR Protocol and former Google AI researcher, warned that the “harvest now, decrypt later” strategy has become a real threat: attackers collect encrypted traffic today and will decrypt it once quantum computers mature—“this is very likely already happening.”
Since most blockchain networks rely on the same elliptic-curve cryptography used across the internet, sufficiently powerful quantum computers could theoretically derive private keys from public keys, thereby compromising wallets and systems. Researchers emphasize that the convergence of AI and quantum computing is fueling an ongoing security arms race, where protective measures can no longer be static infrastructure but must continuously evolve and upgrade. Currently, multiple blockchain ecosystems—including Ethereum, Solana, and NEAR—are actively advancing post-quantum cryptographic migration plans.
