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Helstrom Binary Discrimination

Statement

Let ρ,σ be density operators on a finite-dimensional complex Hilbert space. If they are presented with equal prior probability, the greatest success probability of any binary measurement for identifying the state is 12(1+D(ρ,σ)). The binary projective measurement whose first effect is the spectral projection of Δ=ρ−σ onto its strictly positive eigenspaces attains this value.

Facts & Assumptions

Given: Density operators ρ,σ and equal prior probabilities 1/2.

[F1]

D(ρ,σ)=12∥ρ−σ∥1 (Trace Distance).

[L1]

A finite POVM has nonnegative effects summing to I and outcome probabilities pa=tr⁡(ρEa) (Finite POVMs and their outcome law). The current QC04 definition body is present as a draft.

[L2]

For Hermitian trace-zero Δ, its positive and negative spectral parts satisfy tr⁡Δ+=tr⁡Δ−=12∥Δ∥1 (Hermitian Trace Norm Positive Negative Parts). The current QC01 theorem body is present as a draft.

Proof

1.1givenF1L1algebra

Write a binary POVM as (E,I−E) with 0≤E≤I. Its equal-prior success probability is 12tr⁡(Eρ)+12tr⁡((I−E)σ)=12+12tr⁡(EΔ),Δ=ρ−σ, using tr⁡σ=1.

1.2givenL2L3algebra

For any such effect, [L2] gives tr⁡(EΔ)=tr⁡(EΔ+)−tr⁡(EΔ−)≤tr⁡Δ+: the second trace is nonnegative by [L3], and tr⁡((I−E)Δ+)≥0 by [L3] bounds the first by tr⁡Δ+. Thus [L2] implies tr⁡(EΔ)≤D(ρ,σ).

2.1step 1.2L2

Let E+ be the orthogonal projection onto the positive eigenspaces of Δ. Then E+Δ=Δ+, so tr⁡(E+Δ)=tr⁡Δ+=D(ρ,σ) by [L2]. The binary projective measurement (E+,I−E+) therefore attains the upper bound from step 1.2.

3.1step 1.1step 1.2step 2.1algebra∎

Substituting the maximum tr⁡(EΔ)=D into the success formula of step 1.1 gives 12+12D=12(1+D), as claimed.

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Sources