Google’s Quantum AI Lowers Bitcoin Quantum Attack Threshold: BTC/ETH Post-Quantum Rush

Google’s Quantum AI team warns that Bitcoin quantum security may be undermined with fewer quantum resources than previously assumed. In a new white paper, researchers argue that quantum computers could crack the elliptic-curve cryptography used by BTC and ETH sooner and with significantly lower qubit requirements than earlier estimates. The paper cites scenarios where roughly 1,200–1,450 high-quality qubits could be sufficient, rather than needing hundreds of thousands of physical qubits. For Bitcoin, the risk is tied to a transaction-level exposure window: if a sufficiently powerful quantum computer exists, attackers may reconstruct the private key from the briefly visible public key, enabling an “on-spend” style attack. For Ethereum, the threat is framed as more structural because public keys are visible after an account’s first transaction, allowing “at-rest” style compromises. The report also notes an estimated probability of public-key-to-private-key recovery by 2032 and discusses a mass-compromise scenario for top accounts. Google says it targets moving its authentication systems to post-quantum cryptography by 2029, but the implication for Bitcoin quantum security and broader crypto infrastructure is clear: wallets, validators, and payment providers may face pressure to upgrade earlier to avoid exposure during the transition. Market takeaway for traders: this is a narrative catalyst for BTC/ETH security repricing, with potential short-term volatility around “quantum risk” headlines and longer-term focus on post-quantum migration readiness across networks like SOL.
Bearish
For BTC and ETH, the news emphasizes that quantum-capable attackers might require fewer qubits than widely cited estimates, making the timeline for cryptographic risk feel closer. That increases perceived long-term security uncertainty, which can pressure sentiment and raise risk premiums. Near term, the headline-driven “quantum attack” framing can trigger volatility as traders reprice security assumptions. However, because the paper is still hypothetical and depends on future quantum hardware progress, the impact is more about narrative risk and discounting resilience than an immediate, deterministic sell signal—so bias is bearish but not guaranteed to trend straight down.