Beginner · 5 resources

What quantum computers can’t do

Quantum computers give large speedups on a narrow, structured set of problems. They are not faster at general computing, they do not "solve NP-complete problems instantly", and they will not run your spreadsheet.

Why it matters

The field is drowning in hype. A learner who can distinguish a real quantum advantage claim from a press release is more useful than one who can recite gate matrices.

After this you will be able to

  • Explain why quantum computers are not believed to solve NP-complete problems efficiently
  • Critique a typical quantum computing news headline
  • Name where the credible near-term value actually is
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The plain-language version

The credible list is short: simulating quantum systems (chemistry, materials), factoring and discrete logarithms via Shor, quadratic speedups for search-like problems via Grover, and some structured linear algebra with heavy caveats.

Analogy

Less like a faster engine, more like a specialised instrument. A telescope does not make you a better runner — it does one thing that no amount of running can substitute for.

Common misconception

Quantum computers will solve NP-complete problems instantly.

What is actually true

BQP is not believed to contain NP. Grover gives a quadratic speedup on brute-force search — turning 2^128 into 2^64 steps, which is still completely infeasible.

The thing to remember

Quantum chemistry is the application with the clearest theoretical case. Cryptography is the one driving the funding. Almost everything else is currently speculative.

Go deeper on What quantum computers can’t do →

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3 best places to start

Hand-picked and ordered. If you only have time for one, take the first.

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Scott Aaronson

The field’s most reliable hype filter. When a quantum computing claim makes the news, this is where a leading complexity theorist explains what it does and does not mean.

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Free lecture notes connecting quantum computing to complexity theory, cryptography, free will and the anthropic principle. Funny, opinionated, and the best correction to hype you will find.

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The essay that named the NISQ era. Almost no equations, and it frames what near-term hardware can and cannot do more honestly than anything else you will read.

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Science journalism that researchers actually respect. The best way to follow real results without either the arXiv firehose or press-release hyperbole.

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A sober expert assessment of feasibility and timelines, free to read online. Written for policymakers, which means it is unusually clear about uncertainty and risk.

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