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"An Overview of the Bitcoin Debate and the Quantum Computer Threat"
An article I translated with some adaptation
Why the quantum threat remains theoretical, why work has already begun, and why the correct response is careful preparation—not panic.
Bitcoin’s credibility as a long-term store of value depends on more than just scarcity. It also depends on trust that the protocol can reliably enforce a claim by every holder of its coins. If this foundation is ever called into question, Bitcoin’s thesis as a store of value weakens accordingly.
So the quantum debate matters. In theory, a sufficiently powerful quantum computer could undermine the cryptography that secures those ownership rights.
Quantum computing has been a theoretical threat to Bitcoin since the early days of the network. In 2010, Satoshi Nakamoto addressed it directly.
For years, that was enough to reassure most Bitcoiners that if the threat became more urgent, solutions could be explored and implemented as needed. The danger still felt remote, abstract, and not pressing.
But this assumption is being tested now.
Over the past year, the discussion around quantum has changed noticeably. Researchers from Google and the like have published separate studies that have concretely reduced the theoretical resources required to attack elliptic-curve cryptography. Google has also provided its post-quantum timeline up to 2029, and NIST has similarly laid out a path to deprecate the cryptographic standards Bitcoin relies on by 2035.
Quantum computing experts are revisiting their timelines for when a relevant quantum computer might move from theory to reality.
These developments have sparked a more serious debate within the Bitcoin community.
Some believe Bitcoin should begin preparing more actively while the threat is still theoretical, specifically because decentralized coordination could take years. Others warn that the biggest near-term risk may be a rushed protocol upgrade that introduces new risks before the core threat is close to practical deployment.
To clarify, none of this means Bitcoin is facing a quantum attack today. No quantum computer has broken Bitcoin. No quantum computer has broken any real cryptographic system at the relevant scale here. Such a device does not exist today. But this means the issue is no longer easy to dismiss as far-off science fiction.
-Theory outpaced the hardware:
Shor’s algorithm, first described in 1994, is the quantum algorithm that could theoretically break the type of public-key cryptography Bitcoin relies on. The mathematics behind it has been understood for decades. What does not exist is a machine capable of executing it in practice.
The bottleneck is not the theory; it’s the hardware.
The physical qubit is the raw building block of a quantum computer. These are sensitive systems that must be controlled with exceptional precision.
Heat, vibration, electromagnetic interference, or random noise can disturb a qubit’s state and ruin the computation. This loss of stability is called decoherence, and it’s one of the central reasons it is so difficult to build a useful quantum computer.
This is also why simply adding more physical qubits doesn’t solve the problem. A useful quantum computer needs qubits that can remain stable long enough to carry out long sequences of operations with extremely low error rates. Cryptographic attacks don’t tolerate much error.
Therefore, error correction is critically important. To do meaningful work, quantum systems must combine many fragile physical qubits into fewer, more reliable logical qubits—logical qubits built from several physical qubits working together to detect and correct errors before they overwhelm the computation.
In other words, physical qubits and useful computation don’t scale one-to-one. When error correction is taken into account, hundreds of logical qubits can mean hundreds of thousands of physical qubits, and thousands of logical qubits can mean millions.
This is the key point: for cryptographically relevant computation, logical qubits matter far more than raw physical qubit counts.
The best publicly discussed systems are still measured in tens of logical qubits, not thousands. They are still far from the levels generally associated with a theoretical attack on the public-key cryptography Bitcoin relies on.
Recent academic research has not shown that today’s hardware suddenly became capable of threatening Bitcoin. Instead, it has shown that such an attack might require fewer physical resources than earlier estimates suggested. They have improved the attack design, but they have not solved the more difficult engineering problem of actually building such a machine.
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