Quantum computing cannot break #Bitcoin because of following reasons:

Technical Reasons:

– Incompatible Systems: Quantum computers use QUBITs (which represent 0, 1, +1, -1 states), whereas Bitcoin operates on a binary system (0, 1). A “bridge” must be constructed to translate quantum outputs into binary.

– Translation Challenges: This bridge would need to convert quantum results into binary, but there are multiple possible translations, which could introduce errors or nonsensical results.

– Fault Tolerance: Quantum computing requires fault tolerance when interfacing with binary systems, meaning the translation might not always be accurate or reliable.

– Data Handling vs. Execution: Quantum computers are excellent for processing large quantities of data but are not designed for reading and executing data. Classical computers are still necessary for interpretation.

– Inability to handle feedback loops: Quantum computers excel at processing vast amounts of data but are highly susceptible to “noise” or errors. If a quantum computer (QC) were to achieve a 51% hashrate majority, the Bitcoin network’s built-in difficulty adjustment would ensure that the QC would need to be reprogrammed, resulting in a net loss of importance and influence.

– Hashrate Comparison: Even the most powerful quantum computers currently available can only achieve the hashrate of one small Bitcoin mining pool, which is insignificant compared to the total network hashrate.

– Network Protection: Bitcoin’s network is safeguarded by node operators. A quantum computer would be just one node in the network, and node operators can reject transactions or shares produced by a quantum computer.

– Quantum Computers (QC) are incapable of parallel reasoning: This is a bold statement, primarily concerning the ability to process multiple commands simultaneously. While it might be possible in the future, this would require adding more qubits and gates to expand processing capabilities. This limitation makes quantum computers somewhat single-minded, unable to process other commands concurrently. This is best illustrated by comparing a Doom port for a Quantum Computer with a classic Doom playthrough on an old PC (as shown in the images below).

Economic Reasons:

– High Costs: Deploying quantum computing is expensive due to:
Specialized Programming: Requires dedicated programmers to write and interpret quantum algorithms. More specialized programming is needed to introduce ports or functions on which the Quantum Computer should work. This is already many hours of paid work and maintenance.
Energy Consumption: Quantum processors need extensive cooling, consuming a lot of energy.
Coolant Costs: Helium and nitrogen are used for cooling and must be frequently replaced, adding to operational costs.
Space Requirements: Quantum computers require significant space, at least the size of a living room, including space for cooling equipment, which often means high rental costs for facilities.

– Maintenance and Infrastructure: The setup and ongoing maintenance of a quantum computer, including the need for specialized programming for both operation and result interpretation, further increase the economic barrier.