∑ | Quantum Computing
Chapter 07 / 20

Measurement and information

Projective measurement, expectation and repeated sampling.

1. Core idea

Measurement outcomes follow the Born rule. A projective measurement selects an outcome and updates the state conditional on that outcome. Repeating a circuit many times estimates a distribution; a finite sample fluctuates around the true probabilities.

2. Mathematical foundation

The notation describes a precise relationship among states, transformations or probabilities. Identify each symbol, check the dimensions of the objects, and distinguish amplitudes from the probabilities produced by a measurement.

3. Worked example

For |+⟩, Z-basis measurement is balanced, while X-basis measurement is deterministically +. Measurement basis is part of the experimental question.

4. Reasoning flow

  1. Define the initial register and its basis states.
  2. Apply the transformations in their intended order.
  3. Track amplitude magnitudes and relative phases.
  4. Measure in the basis that reveals the desired property.
  5. Interpret the result and check the resource assumptions.

Hands-on activity

Use a two- or three-qubit circuit to model the stated example. The worked calculation above gives a reference against which to check the simulated output.

5. Check your understanding

Practice question

Estimate the standard error of an observed probability from 1,024 shots.

6. What to watch out for

Ideal-state calculations assume perfect gates and measurements. When assessing an algorithm, separate its mathematical guarantee from the cost of building oracles, preparing inputs, repeating experiments and correcting physical noise.

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