Over the past year, market attention has largely centered on bitcoin’s price volatility and shifting investor sentiment. Headlines were dominated by discussions around regulation, adoption, and inflation. Meanwhile, a more subtle but potentially significant risk has been developing in the background: advances in quantum computing. Bitcoin has recently come under pressure as investors begin to factor in these concerns, prompting renewed debate over the cryptocurrency’s long-term security and durability.
Introduction
Rapid progress in quantum computing is raising fresh questions about the future security of blockchain-based systems. Bitcoin’s network depends on cryptographic algorithms to protect transactions and verify ownership, and researchers are increasingly examining whether sufficiently powerful quantum computers could one day compromise these safeguards.
These worries are no longer confined to academic circles. Christopher Wood, Jefferies’ global head of equity strategy, recently removed bitcoin from his model portfolio, citing the risk that breakthroughs in quantum computing could erode the cryptographic foundations underpinning the asset. He cautioned that any successful attack would call into question bitcoin’s credibility as a long-term store of value.
The Quantum Computing Threat
Quantum computing is widely viewed as the next major leap in computational technology. Traditional computers process information using binary bits—either a 0 or a 1. Quantum computers, by contrast, rely on quantum bits, or qubits, which can exist in multiple states simultaneously due to a phenomenon known as superposition. When combined with other quantum effects such as entanglement and interference, this capability allows quantum systems to solve certain classes of problems far more efficiently than classical machines.
Timothy Hollebeek, Industry Standards Strategist at DigiCert, offers a helpful analogy: classical computing is like navigating a maze by testing one route at a time, while a quantum computer can explore all possible paths simultaneously. This parallelism is what makes quantum computers especially powerful for tasks involving complex mathematics, including factoring large numbers and uncovering patterns within massive datasets.
Recent breakthroughs highlight the promise of quantum technology. Google’s quantum processor, Willow, reportedly completed a specialized computation in under five minutes—an exercise that would take classical supercomputers an impractically long time to finish. The chip is estimated to be roughly 13,000 times faster than the world’s most powerful traditional systems for that task. Achievements like this help explain why quantum computing is drawing growing interest across sectors such as healthcare, logistics, and materials research.
Still, despite the enthusiasm, quantum computing remains in its early developmental phase. Current systems face significant technical limitations. Qubits are highly fragile, must operate at temperatures close to absolute zero, and are extremely sensitive to environmental noise, which can introduce errors. Even in tightly controlled settings, sustaining a stable quantum state for more than a short duration remains challenging. For instance, Google’s Willow chip uses 105 qubits, whereas practical, fault-tolerant quantum computers would likely require thousands of reliably connected and stable qubits.
The rapid progress of quantum computing has prompted renewed scrutiny of the long-term security of cryptography-dependent digital systems, including cryptocurrencies. Because bitcoin’s architecture rests on assumptions about the limits of computational power, any transformative advance in computing naturally warrants closer evaluation.
The Real Threats That Could Undermine Bitcoin’s Value
“Quantum computers are not a matter of if, but when,” said Timothy Hollebeek, Industry Standards Strategist at DigiCert—a sentiment that helps explain why quantum advancements are increasingly viewed as a potential long-term risk to bitcoin’s security and valuation.
The most significant risk centers on Shor’s algorithm, a quantum method capable of compromising the elliptic curve digital signature algorithm (ECDSA) that bitcoin relies on to verify ownership of funds. Under today’s classical computing constraints, deriving a private key from a public key is computationally infeasible. However, in a future with sufficiently powerful quantum computers, this assumption may no longer hold. In theory, an attacker could extract a private key from its corresponding public key in a relatively short period, enabling unauthorized transfers of funds.
The quantum risk is not evenly spread across the bitcoin network. Roughly 25% of all bitcoins—more than 5 million BTC—are held in so-called “vulnerable” addresses, including early P2PK addresses and reused P2PKH addresses. This category also encompasses the estimated 1.1 million BTC attributed to Satoshi Nakamoto. These holdings are more exposed because their public keys are already visible on the blockchain, making them potential targets for quantum-enabled attacks. If even a fraction of these coins were moved by a quantum adversary, the resulting supply shock could be severe, shaking confidence in bitcoin’s ownership framework and placing significant downward pressure on prices.
Even newer address formats are not entirely risk-free under extreme assumptions. One commonly cited theoretical vulnerability involves transactions sitting in the mempool—the queue of unconfirmed transactions shared across network nodes. In this scenario, a sufficiently advanced quantum computer could detect a transaction before it is confirmed, derive the corresponding private key in real time, and submit a competing transaction that redirects the funds. Although highly speculative, this example illustrates how execution speed could become as critical as raw computational power.
Beyond outright theft, quantum computing could also erode trust in bitcoin’s neutrality and privacy. Through Grover’s algorithm, quantum-capable miners could gain a disproportionate advantage in proof-of-work mining, increasing the risk of mining centralization. If a single entity accumulated enough influence, it could censor transactions or reorganize blocks, undermining bitcoin’s decentralised ethos.
Another frequently cited risk is the concept of “harvest now, decrypt later,” where encrypted blockchain data is collected today with the expectation that future quantum computers could decrypt it. While this would not alter historical transactions, it could reveal identities behind pseudonymous wallets or expose past activity, weakening perceived privacy guarantees.
These technical risks are increasingly showing up in market behavior. By early 2026, quantum-related concerns had moved beyond abstract theory and begun to affect investor positioning. Bitcoin, for instance, lagged gold by roughly 6.5% year-to-date, while gold advanced about 55% over the same period. As a result, the bitcoin-to-gold ratio fell to around 19 BTC per ounce, signaling a more cautious stance toward bitcoin among investors.
Bitcoin Relative to Gold
How Bitcoin Could Be Compromised—and Why It Remains Resilient
At present, Bitcoin depends on elliptic curve cryptography (ECC)—specifically the secp256k1 curve—to generate public and private keys. Transactions are authenticated using ECDSA signatures, a system that is secure against classical computers but could be vulnerable to sufficiently advanced quantum machines. If that were to happen, both fund ownership and transaction integrity could be at risk.
One practical solution is the adoption of post-quantum cryptography (PQC), which is designed to withstand quantum attacks. Rather than requiring a complete overhaul of the network, PQC could be introduced incrementally, allowing vulnerable cryptographic components to be replaced over time.
Under a PQC framework, security would be reinforced through a three-layer defense. Kyber would protect communications between nodes and wallets, preventing interception or eavesdropping. Dilithium would handle transaction verification and safeguard private keys against quantum-enabled attacks. SPHINCS+ would ensure the integrity of transaction records, effectively giving each transaction a unique, tamper-resistant cryptographic fingerprint.
Bitcoin is not a static system. In January 2026, the first “Bitcoin Quantum” testnets began experimenting with post-quantum cryptography using NIST-standardised algorithms such as ML-DSA (formerly Dilithium). These trials demonstrated that quantum-resistant upgrades can be tested safely before any network-wide rollout. Such technologies strengthen transaction validation, data transmission, and record integrity, helping ensure bitcoin’s durability in a future shaped by quantum computing. Previous upgrades—including SegWit and Taproot—illustrate that bitcoin can evolve without disrupting network operations.
Resilience is not purely technical; it is also economic and social. A visible quantum-related attack would pose an immediate threat to bitcoin’s value, creating strong incentives for miners, developers, exchanges, and large holders to coordinate a rapid response. Historically, the network has shown an ability to converge quickly on practical solutions when facing systemic risks. Moreover, quantum computing is advancing incrementally, giving bitcoin ample time to prepare, test, and deploy defensive measures before the threat becomes acute. In this context, resilience is about managing technological change carefully rather than attempting to stop it outright.
Bitcoin’s robustness is rooted in both its architecture and its incentives. The network has no central authority, physical headquarters, or kill switch. Its ledger is maintained by thousands of independent nodes globally, eliminating single points of failure. A fixed supply cap of 21 million coins guards against monetary inflation, while the proof-of-work mechanism—secured by vast computational resources—makes large-scale attacks prohibitively expensive.
Widespread adoption further reinforces this resilience. By 2024, an estimated 500 million people held bitcoin or other cryptocurrencies, while institutional participation expanded through ETFs, hedge funds, pension funds, and even sovereign entities. As bitcoin becomes increasingly embedded in the global financial system, the economic and political costs of attempting to disrupt it continue to rise. Major stakeholders now have strong incentives to preserve long-term stability rather than undermine it.
Some observers, including Michael Saylor, have argued that a shift to quantum-resistant addresses could materially affect bitcoin’s market dynamics. If the network were to establish a migration deadline, coins held in legacy addresses—whose owners have lost access or passed away—could become permanently inaccessible. This would effectively remove millions of bitcoins from circulation, tightening supply and increasing scarcity. While the timing and market response remain uncertain, such a transition underscores the intricate relationship between technological evolution and bitcoin’s economic framework.
Conclusion
Quantum computing poses challenges that extend well beyond bitcoin, as many digital platforms and internet communications depend on the same public-key cryptographic systems that could eventually be vulnerable to quantum attacks. Nvidia CEO Jensen Huang has suggested that truly practical quantum computers may still be 15 to 30 years away, providing a meaningful window for industries to prepare and adapt.
In the meantime, leading technology firms are already moving to address these risks. Microsoft, for instance, is incorporating post-quantum cryptography (PQC) into its core software libraries and working alongside global standards organizations to develop quantum-resistant protocols for secure communications.
Together, these initiatives indicate that both the broader technology sector and the cryptocurrency ecosystem are actively planning for a post-quantum future, testing and deploying safeguards well ahead of the arrival of commercially viable quantum computers.
Sources: Charles-Henry Monchau
THE ETERNAL SOVEREIGN 
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