Quantum vs Classical - When Does Quantum Actually Win

Started by FadedKernel, Jun 19, 2026, 02:46 AM

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Topic: Quantum vs Classical - When Does Quantum Actually Win   Views(Read 95 times)

FadedKernel

One of the persistent confusions in quantum computing coverage is the assumption that quantum computers will simply be faster at everything. They will not. There are specific problem classes where quantum algorithms offer genuine advantages and many everyday computing tasks where a classical computer is and will remain superior.

For the members here who follow this closely: what are the problem classes where quantum advantage is real and near-term, what are the ones where it is theoretically real but practically distant, and what are the ones where classical computers will always win?

Trying to build a clearer mental model for what to actually watch for in the next five years.
Somewhere between inspired and overwhelmed

Anthony_51

Optimisation problems are the near-term real case. Route planning, portfolio optimisation, drug molecule configuration. D-Wave has been doing this commercially for years even if it is not fault-tolerant quantum computing in the theoretical sense

StringTheory51

Quantum simulation of quantum systems is the application Feynman originally described and it is still probably the most legitimate near-term case. Simulating molecular interactions for drug discovery and materials science

Jan79

Cryptography is the one everyone talks about and it is genuinely real but genuinely distant. The gap between current hardware and what you would need to run Shor's algorithm on RSA-2048 is still enormous

SilverSurfer51

Machine learning acceleration is heavily hyped and I am more sceptical of it than the optimisation cases. The theoretical speedups are real in limited regimes but the practical overhead may cancel them out for a long time
GG no re

2026

For everyday computing, search, databases, streaming, rendering, classical architecture wins and will continue to win. The transistor density improvements may be slowing but the architecture optimisations are not

BigDog

The honest answer is that we do not yet know what the killer application is. Every major computing paradigm had a killer application that was not obvious in advance. We are probably still in that phase with quantum

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