Research teams including the Ethereum Foundation use AI to optimize algorithms, reducing the resource threshold for quantum cracking of BTC and ETH by 50%

Odaily News: Researchers from institutions including the Ethereum Foundation, Theta Labs, and StarkWare have jointly published a paper, using AI coding agents to deeply optimize the core operations of Shor's algorithm. The computing resources required for a potential quantum attack on Bitcoin and Ethereum (secp256k1 cryptographic system) have been reduced by more than 50% compared to Google's benchmark in March of this year. The number of logical qubits required for the circuit has been compressed to 1,151, and later versions have even been reduced to 813. Although current quantum hardware still cannot directly break public chains, the research shows that pure algorithmic optimization is significantly narrowing the time window for the quantum threat. The researchers emphasize that quantum-resistant upgrades take a long time and cannot be applied retroactively, and the industry needs to prepare defenses in advance. (Coindesk)