Computer science Randomized, circuit, counting and interactive complexity Concept
Circuit complexity
Summary
Circuit complexity measures how hard a Boolean function is by the size or depth of the smallest Boolean circuit that computes it. A language is studied through the family of circuits that decide it on each input length. Lower bounds on circuit size are a route to separating complexity classes, since every problem in P has circuits of polynomial size. Strong lower bounds are known for restricted circuits, such as constant-depth and monotone circuits, but not for general ones.
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3 pages build on this one.
Further reading
About this page
| Tag | 4PGX7PHJCK |
|---|---|
| URI | m2://4PGX7PHJCK |
| Kind | concept |
| Writing | W0 stub |
| MSC | 68Q06, 68Q17, 94C11 |
| Same as | |
| Changed | 3 November 2026 |
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Results about this
- Shannon's counting argument for circuit size
- Razborov's monotone circuit lower bound
- Natural proofs barrier
- Parity is not in AC0
Used by
- Shannon's counting argument for circuit size
- Razborov's monotone circuit lower bound
- Natural proofs barrier