AI Agents Cut ECDSA.Fail Quantum Benchmark by 86.1%

An open research effort called ECDSA.Fail reported an 86.1% reduction in its qubit–Toffoli resource score for a reversible secp256k1 point-addition circuit.

The circuit is relevant to the computational machinery required for a potential Shor’s-algorithm attack on elliptic-curve cryptography, including the cryptography used by Bitcoin and Ethereum. The benchmark, however, measures a specific circuit component rather than a full attack.

At the paper’s July 26, 2026 cutoff, the leading submission used 1,151 logical qubits and an average of 1,299,453 executed Toffoli gates. Its resulting score was approximately 1.496 billion.

The reported progress does not mean that a Bitcoin private key was recovered. It also does not constitute a complete, fault-tolerant quantum attack on Bitcoin’s cryptography.

What the ECDSA.Fail result measures

ECDSA.Fail focuses on optimizing reversible elliptic-curve point addition for the secp256k1 curve. This operation is one part of the broader quantum computation needed to apply Shor’s algorithm against ECDSA.

The challenge’s score combines logical-qubit use with executed Toffoli-gate counts. According to the paper, participants reduced that benchmark score by 86.1% by the stated July cutoff.

• Leading circuit at the July 26 cutoff: 1,151 logical qubits.
• Average executed Toffoli gates: 1,299,453.
• Reported score at that cutoff: approximately 1.496 billion.

A component benchmark is not a Bitcoin break

The result concerns circuit-resource optimization, not the execution of Shor’s algorithm against a live Bitcoin key. A complete attack would require substantially more than an optimized point-addition circuit, including a fault-tolerant quantum computing setting capable of running the necessary computation.

The distinction matters when assessing claims about quantum risk. The ECDSA.Fail result is evidence of progress on a defined technical benchmark, while a demonstrated recovery of a Bitcoin private key is not part of the reported work.

The work also shows how AI-agent-driven optimization can be applied to specialized cryptographic circuit design. For related coverage of AI agents in crypto contexts, see AI Agents Are Now Using Crypto on Their Own — No Humans Involved.

Why score comparisons require care

The approximately 1.496-billion figure refers specifically to the paper’s July 26, 2026 cutoff. The public ECDSA.Fail leaderboard later displayed a lower score of approximately 1.141 billion, reflecting a different point in time.

Comparisons with results from Google Quantum AI are not formally equivalent, according to the supplied evidence, because their circuit interfaces and resource-accounting conventions differ. Direct numerical comparisons should therefore be treated cautiously.

The development arrives amid wider attention to AI and computing infrastructure, including the issues explored in AI vs Bitcoin: Mining Power Becomes the New Global Battleground.

Continue reading: AI Agents Are Now Using Crypto on Their Own — No Humans Involved on BTCNews.

Continue reading: AI vs Bitcoin: Mining Power Becomes the New Global Battleground on BTCNews.

Sources

• arXiv: ECDSA.Fail: Open Autoresearch for Optimizing Elliptic-Curve Point Addition in Shor's Algorithm
• ECDSA.Fail / Eigen Labs: ECDSA.Fail
• Eigen Labs: From a Hidden Quantum Circuit to Open Autoresearch: The ECDSA.fail Story
• Decrypt: AI Agents Just Slashed the Cost of a Quantum Attack on Bitcoin

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