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Quantum oracle

A quantum oracle is a problem-specific quantum subroutine that recognizes or marks computational-basis states satisfying a specified condition.

How 2 Manning books explain it

Quantum Programming in Depth

A marking oracle is a quantum oracle that identifies selected computational-basis states by applying a designated marking transformation to them.

How it is used
Supplies the problem-specific predicate that Grover’s search uses to distinguish solution inputs from non-solutions.
How deep it goes
Derives phase and marking transformations, then implements and tests marking-oracle-based phase kickback in Qiskit and Q#.
Examples
Uses marked strings 001 and 110, then N queens placements with bit and integer-index encodings.
What you can do after
Build it from scratch as a reversible marking oracle and apply it through phase kickback in Grover search.

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Building Quantum Software with Python

A quantum oracle is a computational subroutine that recognizes or marks states satisfying a specified condition.

How it is used
Marks desired outcomes for quantum search and probability-estimation tasks.
How deep it goes
Explains phase and bit tagging, conversion, and Python circuit construction with controlled operations.
Examples
Demonstrates three-qubit matches for outcomes 1, 3, and 5 and function-output searches for f(k)=k+1 and f(k)=k²−5.
What you can do after
Build it from scratch as phase or bit circuits that tag selected binary outcomes for Grover operators.

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Related concepts

These guides are generated from the text of Manning books by Manning's knowledge graph and link to the sections they draw on. The full books are available on liveBook and at manning.com.