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Factor-two guarantee for transpose recovery
PDF p. 2: Checking-time paragraph preceding Eq. (6)
Statement
Let be an integer, let have its standard inner product, and let be nonzero finite-dimensional complex Hilbert spaces. Let be a linear isometry onto the code, with code projector . Let be a finite-dimensional quantum channel, meaning a completely positive trace-preserving linear map. Write .
For a logical channel , let be its entanglement fidelity at the maximally mixed input : the overlap of a normalized maximally entangled logical-reference state with its image under on the logical factor and the identity on the reference. Let , where ranges over all completely positive trace-preserving logical decoders from to .
Let be the same fidelity for a support-completed transpose recovery followed by compression to the logical space. Explicitly, for Kraus operators of , the transpose map has Kraus operators , 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
The bound concerns the fixed maximally mixed input and does not assert a worst-case pure-state fidelity bound.
Facts & Assumptions
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
Entanglement fidelity at the maximally mixed logical input is the normalized maximally entangled-state overlap specified above. Entanglement fidelity on a finite logical space
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
For a linear isometry between the stated finite-dimensional Hilbert spaces, any CPTP code-supported recovery gives a CPTP logical decoder 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.
By [F1], the transpose recovery is a channel with code-supported output. Writing this recovery as , [F4] shows that its compression is a completely positive trace-preserving logical decoder. Thus its fidelity is one of the values in the optimization defining . With the fidelity convention of [F2], , hence .
The spaces, isometry, channel, support inverse, completion and maximally mixed fidelity satisfy the hypotheses of [F3]. Applying that result gives . 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.
Depends on
Dependency tree · 2 levels
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Sources
- Monolithic Quantum Error Correction in the Presence of Distinguishability · PDF p. 2, checking-time paragraph preceding Eq. (6)