Section 6 — Use the estimator primitive

12% of the exam · ≈ 8 of 68 questions · 33 verified practice questions

What the exam expects

Set estimator primitive options such as resilience levels (s6o1)
Understand the theoretical background behind the estimator primitive (s6o2)

Scope notes — what to actually master

EstimatorV2: PUB = (circuit, observables, parameter_values, precision)
Precision <-> shots relationship (halving precision quadruples shots)
resilience_level 0/1/2; Zero Noise Extrapolation (ZNE), PEC; error suppression vs mitigation
Observables: SparsePauliOp, apply_layout for ISA alignment

Quick study: the cram sheet for this section condenses the key facts once you've drilled.

The exam is based on these official IBM materials. Study them first; the drills below tell you when you're done.

Resource	Type
Runtime options overview	guide
Get started with the Estimator primitive	guide
Estimator options	guide
Estimator noise management	guide
Error mitigation and suppression techniques	guide
Specify observables in the Pauli basis	guide
Video: An Introduction to Qiskit Runtime Primitives Version 2 (Chris Wood, QGSS 2024)	video

Every code-bearing question below was executed against a pinned Qiskit 2.x stack at build time; explanations show the actual execution evidence.

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