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CounterexampleConstruction: Literature-sourcedVerification: AI-adaptedPipeline-generatedjudge pass (gpt-6-luna)
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Transpose positivity fails ancillary positivity

Statement refuted

Every complex-linear positive trace-preserving map between finite matrix algebras is completely positive.

Facts & Assumptions

Given: The standard ordered basis of C2, finite matrix transpose T(X)=XT, and the finite channel definitions.

[F1]

Finite completely positive trace-preserving maps: a positive map sends positive semidefinite inputs to positive semidefinite outputs; complete positivity additionally requires positivity of id⁡r⊗Φ for every finite r.

[F2]

Finite matrix spectral and state calculus: every positive semidefinite finite matrix has a positive square root, finite Hermitian matrices have spectral decompositions, and the finite trace is cyclic.

[F3]

Complete finite Choi-Kraus equivalence: with the unnormalized Choi matrix J(Φ)=∑i,jEij⊗Φ(Eij), a finite map is completely positive if and only if J(Φ)≥0.

Counterexample

1.1givenF1F2algebra

The transpose is complex-linear and preserves trace because it fixes the diagonal entries. For any X≥0, [F2] gives X=YY∗ for some matrix Y; hence T(X)=XT=Y‾YT=Y‾(Y‾)∗≥0. Thus T is positive and trace-preserving.

2.1givenF3step 1.1algebra∎

Its Choi matrix is J(T)=∑i,j=01Eij⊗Eji, the swap operator F(∣a⟩⊗∣b⟩)=∣b⟩⊗∣a⟩. For η=(∣0⟩⊗∣1⟩−∣1⟩⊗∣0⟩)/2, one has Fη=−η; therefore J(T)≱0. By [F3], T is not completely positive.

Depends on

Dependency tree · 2 levels

Sources