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There is an interesting report from CoinShares just released, and it seriously changes the way we should think about quantum threats to Bitcoin. Turns out, the common concerns we hear about quantum computing directly threatening Bitcoin are actually exaggerated.
What’s interesting about this report is that they provide more concrete numbers. It’s true that about 1.6 million bitcoins, or roughly 8% of the total supply, are in old P2PK addresses where the public key is visible on the blockchain. But here’s the plot twist: out of that 1.6 million bitcoins, only about 10,200 bitcoins are concentrated enough to cause significant market disruption if stolen. The rest are spread across more than 32,000 different UTXOs, each averaging around 50 bitcoins.
This is important because it means a quantum attacker would have to hack into thousands of addresses one by one, rather than just breaking into one or two large addresses and immediately moving the funds to manipulate the market. This makes the operation much slower, riskier, and less profitable even with a super-powerful quantum computer.
According to CoinShares, to truly crack Bitcoin’s cryptography, you need a fault-tolerant quantum system about 100,000 times more powerful than the largest machines available today. For context, Google has Willow with 105 qubits, but to crack Bitcoin’s keys, you’d need millions of qubits. So what’s the timeline? Most likely still decades away, not an urgent threat.
The most important takeaway is that quantum computers are not a crisis that needs to be addressed with panic mode right now. It’s more a long-term engineering problem that Bitcoin can solve through gradual transition to post-quantum signatures. There are proposals like BIP-360 aimed at creating a new wallet format so users can migrate gradually.
Of course, there’s debate among Bitcoin developers and institutional investors about how serious this is and how quickly preparations should be made. But if you look at CoinShares’ technical data, the quantum threat to Bitcoin is much smaller than what people often fear in the market. This is a good reminder that sometimes the structural fears that sound scary are actually less so when you dig into the numbers.