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Quantum state discrimination

As explained in Quantum Programming in Depth

State discrimination is the task of identifying which quantum state was provided from a specified set of possible states.

Quantum state discrimination identifies which state was supplied from a known list by choosing measurements suited to that list. For mutually orthogonal states, one experiment can distinguish the possibilities perfectly; nonorthogonal states require different strategies. section 4.2

For orthogonal-state discrimination:

  • Represent the possible states as a promised list of orthogonal quantum-register states. section 4.2
  • When each state uses distinct computational-basis states, measure in a basis that reveals which listed state was supplied. section 4.2
  • For a general set, construct a unitary transformation that maps the states to computational-basis states, then measure. section 4.8
  • Complete the transformation matrix with additional columns when fewer than 2ⁿ states are specified, preserving unitarity. section 4.8

Four three-qubit states

The states (|000⟩ + |111⟩)/√2, (|100⟩ + |011⟩)/√2, (|010⟩ + |101⟩)/√2, and (|001⟩ + |110⟩)/√2 form an orthogonal list because each computational-basis state appears in only one member. section 4.2

Nonorthogonal states cannot be distinguished perfectly in one experiment. Minimum-error discrimination incorporates unequal input probabilities, while unambiguous discrimination permits “I don’t know” outcomes to avoid incorrect identifications. section 4.2 section 4.8

How Quantum Programming in Depth covers it

How deep it goes
Derives orthogonal-state measurement and unitary mapping, then points toward probabilistic nonorthogonal strategies.
Examples
Uses four orthogonal three-qubit superposition states and contrasts minimum-error with unambiguous discrimination.
What it assumes
Assumes measurement-based basis-state readout, quantum-register notation, computational bases, and orthogonality.
What you can do after
Evaluate/understand measurements and unitary transformations for distinguishing orthogonal states, while recognizing nonorthogonal trade-offs.
How it connects
Connects quantum measurement, computational basis, unitary matrices, nonorthogonal states, and quantum state tomography.

Related concepts

This explainer was generated by Manning's knowledge graph from the text of Quantum Programming in Depth. The section links point to the parts of the book it draws on.