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Factor-two guarantee for transpose recovery

PDF p. 2: Checking-time paragraph preceding Eq. (6)

Statement

Let d≥1 be an integer, let Cd have its standard inner product, and let HP,HO be nonzero finite-dimensional complex Hilbert spaces. Let V:Cd→HP be a linear isometry onto the code, with code projector P=VV†. Let N:L(HP)→L(HO) be a finite-dimensional quantum channel, meaning a completely positive trace-preserving linear map. Write Ad⁡V(X)=VXV†.

For a logical channel E, let Fe(E) be its entanglement fidelity at the maximally mixed input I/d: the overlap of a normalized maximally entangled logical-reference state with its image under E on the logical factor and the identity on the reference. Let Fopt=max⁡RFe(RNAd⁡V), where R ranges over all completely positive trace-preserving logical decoders from L(HO) to L(Cd).

Let Ftr be the same fidelity for a support-completed transpose recovery followed by compression to the logical space. Explicitly, for Kraus operators Ea of N, the transpose map has Kraus operators PEa†N(P)−1/2, with the inverse square root taken on the support and zero on the kernel; it is completed outside that support to a code-supported channel. Then

1−Fopt≤1−Ftr≤2(1−Fopt).

The bound concerns the fixed maximally mixed input and does not assert a worst-case pure-state fidelity bound.

Facts & Assumptions

[F1]

The stated support completion is a code-supported channel, and its action after noise on code-supported inputs is independent of the completion choice. Transpose (Petz) recovery on a code

[F2]

Entanglement fidelity at the maximally mixed logical input is the normalized maximally entangled-state overlap specified above. Entanglement fidelity on a finite logical space

[F3]

For a finite-dimensional isometric code and quantum channel, the support-completed transpose decoder and the optimum over CPTP logical decoders satisfy the displayed factor-two infidelity inequality at the maximally mixed input. Near-optimality for maximally mixed entanglement fidelity

[F4]

For a linear isometry V between the stated finite-dimensional Hilbert spaces, any CPTP code-supported recovery T gives a CPTP logical decoder Rtr(Y)=V†T(Y)V by compression. Equivalence of logical and code-supported physical decoding

Proof

Given: The finite-dimensional isometry, channel and support-completed transpose recovery in the statement.

Goal: Prove both inequalities for the stated entanglement fidelities.

1.1givenF1F2F4

By [F1], the transpose recovery is a channel with code-supported output. Writing this recovery as T, [F4] shows that its compression Rtr(Y)=V†T(Y)V is a completely positive trace-preserving logical decoder. Thus its fidelity is one of the values in the optimization defining Fopt. With the fidelity convention of [F2], Ftr≤Fopt, hence 1−Fopt≤1−Ftr.

2.1givenF1F2F3step 1.1∎

The spaces, isometry, channel, support inverse, completion and maximally mixed fidelity satisfy the hypotheses of [F3]. Applying that result gives 1−Ftr≤2(1−Fopt). Together with step 1.1 this proves the stated bound; [F1] also gives independence from the completion choice after encoded noise.

Source notes

The article invokes this guarantee to motivate checking time as reflecting the code rather than a particular decoder. This contextual interpretation is attributed to the article; the mathematical deduction above uses the independent near-optimality supplier.

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Used by · 1

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