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Controlled quantum operation

A controlled quantum operation is a quantum operation applied to target systems only when specified control qubits have required states.

How 2 Manning books explain it

Quantum Programming in Depth

A controlled gate is a quantum gate whose operation on a target system is conditioned on one or more control qubits.

How it is used
Constructs block-diagonal operations, CS decompositions, and phase-oracle conversions by conditioning target unitaries on control patterns.
How deep it goes
Defines basis-state and superposition behavior, derives matrix decompositions, and extends them to multiple controls through basis-index analysis.
Examples
Uses CNOT, controlled X versus controlled −X on |++⟩, CS matrices, and a phase-oracle-to-marking-oracle conversion.
What you can do after
Evaluate/understand controlled operations as state transformations and compose them to implement selected matrix blocks or oracle behavior.

Read how Quantum Programming in Depth explains controlled quantum operation →

Building Quantum Software with Python

A multicontrolled transformation is a quantum transformation applied to a target qubit only when every specified control qubit has the required control value.

How it is used
Limits gate effects to selected amplitude pairs when a circuit must condition a target transformation on one or more qubits.
How deep it goes
Descends to Python pair filtering and amplitude recombination, while deferring physical implementation costs and coherence effects.
Examples
Uses three-qubit state diagrams, controlled-X swaps, Python simulator functions, and repeated controlled rotations in phase estimation.
What you can do after
Apply it via Python state-vector functions that select control-qualified pairs and invoke an existing single-qubit gate transformation.

Read how Building Quantum Software with Python explains controlled quantum operation →

Related concepts

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