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Project Eleven has awarded a one BTC bounty after a researcher completed the largest public quantum attack on elliptic curve cryptography to date. The breakthrough involved breaking a 15-bit elliptic curve key using publicly accessible quantum hardware. The result renewed attention around long-term security risks for Bitcoin, Ethereum, and other blockchain networks using ECC. It also pushed post-quantum security discussions back into focus across the crypto market. Quantum ECC Break Expands Bitcoin Security Debate Project Eleven said researcher Giancarlo Lelli won its Q-Day Prize after deriving a private key from a public key across a 32,767 search space. He used a variant of Shor’s algorithm on cloud-accessible quantum hardware. The method targeted the Elliptic Curve Discrete Logarithm Problem, which supports digital signature systems used by Bitcoin and Ethereum. These systems protect wallets, transactions, and ownership verification across major blockchains. Project Eleven stated that this was the largest public demonstration of this attack class so far. The previous public record came in September 2025, when Steve Tippeconnic completed a 6-bit demonstration. Lelli’s result increased that benchmark by a factor of 512. The company noted that no private chip or national laboratory was involved in the test. Project Eleven CEO Alex Pruden said the falling hardware barrier makes the issue more urgent. He pointed to Google’s public target of becoming quantum-secure by 2029 as a sign that migration timelines are tightening. The company said roughly 6.9 million Bitcoin remain in wallets with visible public keys on-chain. Those wallets could face exposure if large-scale quantum attacks become practical. Project Eleven today awarded the Q-Day prize for the largest quantum attack on elliptic curve cryptography to date. Researcher breaks 15-bit ECC key on publicly accessible quantum hardware in a 512x jump from the previous public demonstration. Project Eleven is now preparing its next challenge around AI models and quantum cryptanalysis. The firm said the next phase will examine how frontier AI tools may accelerate future cryptographic attacks.
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