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Grover iterate

A Grover iterate is one application of the composite quantum operation combining an oracle with a reflection about the prepared initial state.

How 2 Manning books explain it

Building Quantum Software with Python

A Grover iteration is one application of a Grover operator within a quantum search procedure.

How it is used
Amplifies oracle-tagged outcomes so quantum searches can favor desired measurement results.
How deep it goes
Derives repeated probability behavior and implements both classical simulation and a quantum circuit.
Examples
Uses uniform three-qubit search for outcome 3 and searches encoded polynomial function values.
What you can do after
Build it from scratch as a circuit that appends an oracle followed by inversion derived from state preparation.

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Quantum Programming in Depth

A Grover iteration is one repetition of Grover's search procedure, combining an oracle operation with a reflection about the mean.

How it is used
Deploys repeated oracle–reflection pairs to amplify marked search states before measurement.
How deep it goes
Derives the iterate as a 2θ rotation and implements its circuit, while leaving iteration-count selection to the user.
Examples
Uses state-rotation diagrams, a hand-built Qiskit circuit, repeated measurement tests, and success-rate experiments.
What you can do after
Build it from scratch in Qiskit, vary the iteration count, test marked outputs, and measure success probability.

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Related concepts

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