Unchained
Unchained

Why Bitcoin Developers Are Not Incentivized to Talk About the Quantum Threat

Thank you to our sponsors! Figure Crypto Tax Girl Are bitcoiners underestimating the quantum threat to Bitcoin? That's the question Castle Island Ventures Partner Nic Carter has posed with some recent posts gauging the views of several leading Bitcoin developers on quantum computing. To help an

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Episode Summary

Executive Summary: The episode examines quantum computing as a systemic threat to crypto, explaining how it could break current elliptic-curve signatures, expose private keys, drain wallets, and even threaten blockchain consensus. Justin and Chris argue the industry must begin migrating now to post-quantum cryptography, with Ethereum and Algorand already planning or implementing solutions, while Bitcoin may face the toughest coordination challenge.

Main Topics: What quantum computing is and why it matters to crypto (Priority: 5/5): The hosts explain that quantum computers exploit quantum physics to run certain algorithms far faster than classical computers, enabling attacks that can break the cryptography underpinning blockchains and internet security. Timeline uncertainty and migration urgency (Priority: 5/5): Justin and Chris debate when cryptographically relevant quantum computers might arrive, stressing that migration to safer cryptography takes years and must begin well before the threat is imminent. How quantum attacks would affect wallets, transactions, and consensus (Priority: 5/5): The discussion covers key-recovery attacks on public keys, draining accounts, breaking signatures at the consensus layer, and potential chain-level disruption or forks. Post-quantum cryptography design trade-offs (Priority: 4/5): They compare hash-based and lattice-based approaches, emphasizing size, verification speed, security assumptions, and the need to aggregate signatures to keep blockchains scalable. Chain-specific readiness: Ethereum, Algorand, Bitcoin (Priority: 5/5): Ethereum is pursuing a post-quantum roadmap with hash-based signatures and aggregation; Algorand has already deployed state proofs and post-quantum wallets; Bitcoin faces major social and technical coordination hurdles. Privacy risks and store-now-decrypt-later attacks (Priority: 4/5): The guests note that encrypted blockchain data and privacy systems can be vulnerable to future decryption, with privacy coins and privacy layers potentially among the earliest targets. Strategic and market implications (Priority: 3/5): Post-quantum readiness is framed not only as defensive security but also as a potential advantage for attracting institutional capital and demonstrating long-term resilience.

Key Arguments: Quantum computers would break widely used elliptic-curve cryptography, including ECDSA for transactions and BLS for consensus, making many current blockchain security assumptions invalid. The threat is systemic: if public keys can be recovered from addresses, attackers could forge transactions, drain wallets, and potentially destabilize entire networks. Migration must start years early because replacing cryptography across wallets, validators, and protocols is slow and coordination-heavy. Signature size is a major technical blocker for post-quantum migration; naive replacement of ECDSA with larger signatures could slash throughput by roughly 10x or more. Ethereum’s proposed solution is to use hash-based signatures plus SNARK aggregation to preserve scalability while improving security. Bitcoin’s governance and upgrade culture make it harder to coordinate a move to post-quantum cryptography than Ethereum’s. Algorand is presented as an example of a chain taking incremental, structured steps via state proofs and post-quantum wallets. Privacy systems are especially concerning because attackers may be able to steal funds without immediate detection. Satoshi’s coins are a unique risk because of their size and exposed public keys, creating a possible early high-profile target. The industry should think beyond quantum alone: AI-assisted mathematical breakthroughs could also threaten structured cryptographic assumptions, reinforcing the case for conservative designs.

Data Points: Estimated time to crack keys on fast quantum hardware: ~10 minutes - Justin says superconducting/photonics-style quantum computers could break a key in minutes. Timeline estimate for cryptographically relevant quantum computer: 2032 - Justin’s personal estimate for when the threat becomes real. Likelihood of CRQC by 2031: ~1% to 2% or more - Justin suggests a small but rising probability around 2031. ECDSA signature size: 64 bytes - Used today for blockchain transactions. Falcon 512 signature size: 666 bytes - NIST-standardized post-quantum scheme cited as much larger than ECDSA. Historical qubit estimate for breaking Ethereum cryptography: 10 million physical qubits - Best-known estimate three years prior to the discussion. Recent qubit estimate for breaking Ethereum cryptography: 1 million physical qubits - Justin cites a paper from the previous year reducing the estimate. Potential end-game qubit estimate: 100,000 physical qubits - Justin says further algorithmic improvements may reduce the requirement further. Throughput impact example: Bitcoin: 3 TPS to 0.3 TPS - Illustrates the effect of larger post-quantum signatures if block size stays fixed. Throughput impact example: Ethereum: 25 TPS to 2.5 TPS - Same size problem applied to Ethereum. Throughput impact example: Solana: 1,000 TPS to 100 TPS - Used to show the scaling penalty of naive post-quantum replacement. Cold-storage protection share: ~30% - Justin references Project 11’s tracker for addresses whose public keys are still hidden behind hashes. Ethereum lost supply: ~0.1% of circulating ETH - Justin argues this is too small to create a major consensus crisis if lost coins are compromised. Bitcoin Satoshi coins share: ~5% of Bitcoin supply - Used to argue Bitcoin faces a uniquely contentious problem. Bitcoin migration time if chain only migrates UTXOs: ~3 months - Justin estimates the minimum time assuming the chain does nothing else. More realistic Bitcoin migration window: ~1 year - Justin says practical migration would likely take longer than the raw UTXO cycling time. Ethereum upgrade target: 2029 - Justin says Ethereum aims to make every piece of its cryptography post-quantum secure by then. Algorand checkpoint cadence: Every 256 blocks - Chris describes periodic state proofs used as post-quantum secure checkpoints. Algorand block-time implication: Every few minutes - Used to explain the cadence of state proofs on Algorand. Ethereum stake at risk: ~$100 billion - Justin references the amount of stake that could require migration in an emergency.

Pivotal Quotes: "If we have a cryptographically relevant computer, it's basically game over." — Justin: He explains why public-key recovery would undermine wallet security and property rights across crypto. "The solution that I'm presenting to the table for Bitcoin is maximum security with hash-based signatures." — Justin: He outlines his preferred Bitcoin-compatible post-quantum path. "I think the Bitcoin developers don't have an incentive to talk about the risk, even though they themselves kind of privately appreciate the risk." — Justin: He argues that game theory and messaging incentives may delay acknowledgment of the threat.

Implications: Crypto projects need to plan and test post-quantum migration now, not later. Chains that move early may gain security credibility and institutional trust; those that delay risk wallet theft, consensus crises, and chaotic emergency upgrades.

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