How much quantum computing capability do you actually need before it becomes useful for real problems?

Started by Scott98, Jun 24, 2026, 01:54 AM

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Topic: How much quantum computing capability do you actually need before it becomes useful for real problems?   Views(Read 129 times)

Scott98

Quantum computers exist but can't solve anything practical yet. What's the threshold where quantum suddenly becomes useful? 100 qubits? 1000?

Sega26

Threshold depends on problem. Some problems might be useful with 1000-10000 logical qubits. Others need millions. Not single number

QuantumKnight

Drug discovery is frequently cited useful application. Simulating molecular behavior. Might need 10000 logical qubits. Currently can't even make 100 stable physical qubits
To infinity & 🐝 ond

Delulu

Optimization problems come earlier. Maybe 1000-5000 logical qubits find better solutions than classical. Financial optimization machine learning tasks
VAR can do one

HitmanMarcus94

The error correction overhead is killer. 1000 physical qubits becomes maybe 10 logical qubits after error correction. Need millions of physical qubits for thousands of logical

Brandon18

Some near-term applications need fewer qubits. Materials science simulation might work with 1000 logical qubits. That's still probably 5+ years away

SharpFox

The threshold might be higher than researchers hope. If overhead is worse than models predict useful quantum computers might need tens of millions of qubits

MJF

Early wins will be niche applications. Specific problems where quantum has real advantage. Not replacing classical computers broadly

Oscar_75

Financial modeling optimization scheduling might be first industries to get quantum advantage. Insurance actuarial calculations require massive search

William56

Some think practical quantum is still 20 years out. Others say 5 years. Uncertainty is real. Hard to predict when moving through phase transitions
Currently losing at something

QuantumLeap96

This is why near-term quantum and far-term quantum are different fields. Near-term is what current hardware can do. Far-term is solving real business problems. Gap is huge

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