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Quantum counting

As explained in Building Quantum Software with Python

Quantum counting is an amplitude-estimation application that estimates the number of solutions or marked outcomes in a search space.

Quantum counting estimates how many outcomes an oracle marks as good by applying amplitude estimation to a search-space superposition. section 9.6.2 section 9.7

A practical implementation follows this pattern:

  • Prepare a uniform superposition in the target register so every candidate outcome begins with equal amplitude. section 9.6.2
  • Construct an oracle that phase-marks the desired outcomes, such as 0, 1, and 2. section 9.6.2
  • Run amplitude estimation with separate target and estimation registers, then aggregate estimation-register probabilities into a histogram. section 9.6.2
  • Use the most frequent estimation outcome, after exploiting the histogram symmetry, to calculate the nearest integer count. section 9.6.2

Counting three marked outcomes

With a three-qubit target register, a five-qubit estimation register, and an oracle marking [0, 1, 2], the peak occurs at v = 7 and the calculated count is 3. section 9.6.2

How Building Quantum Software with Python covers it

How deep it goes
Explains register preparation, oracle construction, probability aggregation, symmetry reduction, and peak-based count extraction without a full derivation.
Examples
Demonstrates an oracle marking 0, 1, and 2, then searches polynomial-function outputs with bit-pattern oracles.
What it assumes
Assumes familiarity with uniform superposition, phase oracles, amplitude estimation, quantum phase estimation, and inverse quantum Fourier transforms.
What you can do after
Apply it via an amplitude-estimation circuit to estimate the number of oracle-marked outcomes from measured probability peaks.
How it connects
Connects quantum counting to amplitude estimation, quantum phase estimation, quantum Fourier transforms, oracles, and Grover search.

Related concepts

This explainer was generated by Manning's knowledge graph from the text of Building Quantum Software with Python. The section links point to the parts of the book it draws on.