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Researchers Use AI Agents to Lower Computing Requirements for Quantum Cryptography Attacks

A cryptographic benchmark challenge reduced the estimated resource requirements for a key quantum attack step by 86 percent.

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A research paper published on Wednesday reports that more than 100 participants utilizing AI coding agents reduced a key computational benchmark for quantum attacks on Bitcoin and Ethereum cryptography by 86%. The results, achieved during the ECDSA.Fail challenge, focused on the operations required to expose private keys secured by the Elliptic Curve Digital Signature Algorithm.

The challenge reduced the necessary resource score from 10.75 billion down to 1.496 billion. The leading circuit design achieved this by using 1,151 logical qubits alongside approximately 1.3 million Toffoli gates, with a subsequent design lowering the gate total below one million. The study noted, however, that these optimizations evaluate specific circuit efficiencies and exclude the broader physical hardware costs necessary to conduct an actual attack.

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