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DefinitionDefinition: AI-adaptedProof: Not applicablePipeline-generatedjudge pass (gpt-6-luna)
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Finite-dimensional quantum erasure channel

Definition

Let A be a d-dimensional complex inner-product space with d≥1. Form the orthogonal direct sum B:=A⊕Ce, where e is a unit erasure vector orthogonal to every vector in A; the inner product on pairs is ⟨(x,a),(y,b)⟩B=⟨x,y⟩A+ab‾. Thus dim⁡B=d+1 by If V=⨁i<nUi with every Ui finite-dimensional, then V is finite-dimensional and dim⁡FV=∑i<ndim⁡FUi; in particular dim⁡F(U⊕W)=dim⁡FU+dim⁡FW. Let J:A→B be the isometric inclusion into the data summand.

For an erasure probability ϵ∈[0,1], the d-dimensional quantum erasure channel is the linear map

Ed,ϵ(X):=(1−ϵ)JXJ∗+ϵtr⁡(X)∣e⟩⟨e∣,X∈L(A).

For a density operator ρ, this outputs the data state with probability 1−ϵ and the orthogonal erasure flag with probability ϵ. The definition is on the full operator space, and its channel property is established in The finite-dimensional erasure map is a quantum channel ↗.

Depends on

Used by

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