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A rational actor with a quantum computer capable of breaking Bitcoin would not publicly reveal their ability, as this would crash the asset's price. The smarter strategy is to covertly crack and drain long-dormant wallets, extracting value without destroying the market, making the threat insidious and difficult to detect.

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A quantum-resistant upgrade for Bitcoin creates a major governance dilemma regarding the 20-30% of coins in early, vulnerable addresses (like Satoshi's) that are likely lost. The community must decide whether to allow an attacker to seize these billions, potentially destabilizing the network, or to proactively burn them via a contentious code change.

Brian Armstrong reframes the quantum threat not as crypto-specific, but as a challenge for all cryptography, including banking and data encryption. The solution is to upgrade networks to post-quantum algorithms, a process already underway, rather than abandoning the technology.

New Google research indicates that breaking Bitcoin's encryption requires 20 times fewer quantum resources than previously thought. This revision dramatically accelerates the timeline for a quantum attack to as early as 2029, creating urgent pressure on blockchains to migrate to post-quantum cryptography (PQC) to survive.

Nobel laureate John Martinis expresses concern that China is strategically withholding its quantum computing research. He notes that Chinese labs often publish results similar to Google's shortly after Google does, suggesting they may be waiting for Western validation before revealing their own, potentially parallel or superior, progress.

Building massive sensor networks or missile defense systems is physically observable, giving adversaries time to develop countermeasures. In contrast, a sudden leap in AI-enabled intelligence processing can be invisible, creating a surprise window of vulnerability with no warning.

David Rosenthal, NVIDIA's first-ever hire, argues that Bitcoin's security premise is vulnerable. He posits that future quantum computers could relatively easily crack the private keys for the roughly 20% of 'lost' or unclaimed Bitcoins, fundamentally undermining the cryptocurrency's claim of being a secure asset.

Unlike traditional banks that use 2FA and can roll back fraudulent transactions, Bitcoin's decentralized and immutable design makes it a top target for a quantum attack. It represents a massive, unprotected honeypot, as stolen funds cannot be recovered, elevating its risk profile above other financial systems.

Quantum mechanics relies on the assumption of continuous time. If time is discrete, as Bitcoin's architecture suggests, the foundational math for quantum computing is invalid. This means quantum computers may never pose an existential threat to Bitcoin's encryption, making the two models fundamentally incompatible.

The primary hurdle for securing Bitcoin against quantum computers isn't just the arrival of the technology, but the massive, multi-year logistical challenge of migrating all existing wallets. Due to larger transaction sizes and network throughput limits, this migration could take 10-30 months even under optimistic scenarios.

Public announcements about quantum computing progress often cite high numbers of 'physical qubits,' a misleading metric due to high error rates. The crucial, error-corrected 'logical qubits' are what matter for breaking encryption, and their number is orders of magnitude lower, providing a more realistic view of the technology's current state.