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Glossary

Every technical term this platform uses, with what it means and — the part that is harder to find elsewhere — the mistake it prevents. On this subject the intuitive reading is often the wrong one, so each entry says what a reader would otherwise get wrong.

Measurement

Shots

How many times a circuit is run to build up statistics from its measurements.

Easy to get wrong: Every quantity estimated from shots carries roughly 1/√N of noise. Doubling precision costs four times the shots.

Seen in use on /workbench

Standard error

How much an estimate would wobble if you repeated the whole experiment.

Easy to get wrong: A number without one is not a measurement. Two results whose error bars overlap have not been shown to differ.

Seen in use on /leaderboard

Mitigationalso zero-noise extrapolation, ZNE

Post-processing noisy results to estimate what a noiseless machine would have produced.

Easy to get wrong: It buys accuracy with variance and shots, never for free. Zero-noise extrapolation can make a result worse when the extra uncertainty exceeds the bias it removed.

Seen in use on /workbench

Expectation value

The average of a measurement over many shots, rather than any single outcome.

Easy to get wrong: Two very different states can share an expectation value. A Bell pair and two independent coin flips give identical single-qubit averages and differ only in their correlations.

Seen in use on /workbench