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Two orthogonal Pauli alternatives bound recovery fidelity

Statement

Let H=C2 with its standard ordered basis, and let R:L(H)→L(H) be a quantum channel: a complex-linear, completely positive, trace-preserving map. Let U be a unitary 2×2 matrix, so U†U=UU†=I, and put Z=diag⁡(1,−1). For any matrix V write Ad⁡V(X)=VXV†. Then Fe(R∘Ad⁡U)+Fe(R∘Ad⁡ZU)≤1, where both entanglement fidelities use the maximally mixed input I/2.

Facts & Assumptions

Given: The space, channel R, and matrices U,Z in the Statement.

Goal: Prove the displayed sum of entanglement fidelities is at most one.

[F1]

The finite operator conventions use the standard basis and conjugate-transpose adjoints. Finite operator and ket conventions

[F2]

For a channel E on H, Fe(E)=⟨Φ∣(id⊗E)(∣Φ⟩⟨Φ∣)∣Φ⟩, where ∣Φ⟩=(∣00⟩+∣11⟩)/2. Entanglement fidelity on a finite logical space

[F3]

A quantum channel is completely positive and trace-preserving. Every finite-dimensional completely positive map has a finite Kraus representation R(X)=∑aKaXKa†. Finite-dimensional quantum channel Finite Kraus representation Kraus and Choi characterizations of complete positivity

[F4]

A finite Kraus sum is completely positive, and it is trace-preserving exactly when its Kraus operators satisfy ∑aKa†Ka=I. A finite Kraus sum is completely positive Trace preservation is Kraus normalization

Proof

1.1givenF3F4algebra

Since Z†Z=I, both U and ZU are unitary. By [F4], each one-operator sum Ad⁡V for V∈{U,ZU} is a channel. By [F3], choose a finite Kraus family (Ka) for R; [F4] gives ∑aKa†Ka=I. Direct composition gives Kraus families (KaV) for R∘Ad⁡V, and their normalization is ∑aV†Ka†KaV=I. Thus the compositions are channels by [F4].

2.1step 1.1F1F2F3algebra

For any matrix A, expansion in the basis in [F1] gives ⟨Φ∣(I⊗A)∣Φ⟩=tr⁡(A)/2. Using the Kraus formula and [F2] therefore gives Fe(R∘Ad⁡V)=14∑a∣tr⁡(KaV)∣2 for V∈{U,ZU}. Put Ba=UKa. Finite matrix-index expansion gives tr⁡(KaU)=tr⁡(Ba) and tr⁡(KaZU)=tr⁡(BaZ). If the diagonal entries of Ba are ba,00,ba,11, then ∣tr⁡(Ba)∣2+∣tr⁡(BaZ)∣2=∣ba,00+ba,11∣2+∣ba,00−ba,11∣2=2(∣ba,00∣2+∣ba,11∣2)≤2tr⁡(Ba†Ba).

3.1givenstep 1.1step 2.1F1algebra∎

Since U†U=I, the normalization in step 1.1 gives ∑atr⁡(Ba†Ba)=tr⁡(∑aKa†Ka)=tr⁡(I)=2. Summing the inequality in step 2.1 and multiplying by 1/4 yields Fe(R∘Ad⁡U)+Fe(R∘Ad⁡ZU)≤1, as required.

Depends on

Used by · 1

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