How statement and proof provenance work
The first chip identifies the source of the statement or construction; the second identifies the source of its local proof or verification.
- Literature-sourced: the exact statement appears in a cited source; only wording and notation differ.
- AI-adapted: a semantically identical restatement of literature-sourced material, modulo indexing, notation, and boundary cases adopted by the library.
- AI-generated: a genuinely novel statement formulated by AI, with no source for the claim itself.
These labels describe origin, not correctness: citations and verification chips remain separate evidence.
Recovery optimization on orthogonal flagged branches
Statement
Let with , and let be a finite orthogonal direct sum of nonzero finite-dimensional complex inner-product spaces. Concretely, is the space of tuples with , with coordinatewise vector operations and inner product , linear in the first argument. Write for the map putting its input in coordinate and zero in every other coordinate, and for the orthogonal projector onto its image; the star denotes the adjoint for these inner products. Let , with , and let each be a quantum channel. Define . Then, for entanglement fidelity at the maximally mixed input,
A decoder attaining the left side can be constructed by projecting onto the orthogonal blocks and applying a maximizing decoder for the corresponding block. The hypothesis that the weights are fixed independently of the input is part of this statement; input-dependent branch weights are not covered.
Statement references
Code restriction and decoded channel types
Entanglement fidelity on a finite logical space
Real and complex inner-product spaces and their induced length
The adjoint T^*:W→ V is characterised by ⟨ Tv,w⟩_W=⟨ v,T^*w⟩_V
Orthogonal vectors and subspaces, orthogonal and orthonormal sets, and orthonormal bases
The orthogonal projection P_Wv is the W-component in V=W⊕ W^⊥
Facts & Assumptions
A quantum channel is a complex-linear completely positive trace-preserving map; a decoder is a channel with the indicated input and logical output. Complete positivity means positivity after tensoring with every finite-dimensional identity map. Code restriction and decoded channel types
For , entanglement fidelity is the overlap of with the output of on . Entanglement fidelity on a finite logical space
For a linear map , its input-first Choi matrix is in an ordered orthonormal basis of . Such a map is a channel exactly when is positive semidefinite and its partial trace over is . Choi matrix with input factor first Finite channel, Kraus, Choi, and Stinespring equivalence
A closed and bounded subset of finite-dimensional real Euclidean space is compact, and a continuous real-valued function on a nonempty compact metric space attains its maximum. Heine-Borel in ℝⁿ: with the Euclidean metric a subset of ℝⁿ is compact if and only if it is closed and bounded, and the proof by bisection uses no choice principle; the same holds on the real line A continuous real-valued function on a nonempty compact metric space is bounded and attains a greatest and a least value
A complex inner product is linear in the first argument, conjugate symmetric, and positive definite: , with equality exactly when . Real and complex inner-product spaces and their induced length
An adjoint of a linear map satisfies for all . The adjoint T^*:W→ V is characterised by ⟨ Tv,w⟩_W=⟨ v,T^*w⟩_V
For compatible rectangular matrices, . For A∈ M_m× n(F) and B∈ M_n× m(F), tr(AB)=tr(BA)
Vectors are orthogonal when their inner product is zero, and two subspaces are orthogonal when every vector in one is orthogonal to every vector in the other. An orthonormal basis is an ordered basis whose vectors are pairwise orthogonal and each have induced norm one. Orthogonal vectors and subspaces, orthogonal and orthonormal sets, and orthonormal bases
For a subspace of a finite-dimensional inner-product space , the orthogonal projection sends each to the unique for which is orthogonal to every vector in . When treated as an endomorphism of , this map is followed by the inclusion . The orthogonal projection P_Wv is the W-component in V=W⊕ W^⊥
Proof
Given: The finite spaces, fixed probabilities and channels in the statement.
Goal: Establish the displayed equality and construct a maximizing decoder.
The coordinatewise operations make the tuple space a complex vector space. The pairing in the Statement is linear in its first argument and conjugate symmetric by [F5]. Its value on is a finite sum of nonnegative terms, vanishing exactly when every , so it is positive definite and hence an inner product. Extending a basis of each by zero in the other coordinates gives a finite basis of : these vectors span coordinatewise, and a linear relation vanishes in each coordinate only when all coefficients vanish. Thus is a finite-dimensional complex inner-product space.
Each branch supremum is attained. Indeed, in fixed bases, [F3] identifies branch decoders with positive semidefinite Choi matrices whose output partial trace is . This set is nonempty: the replacement channel is completely positive and trace-preserving. The set is closed by its matrix inequalities and linear partial-trace equations. It is bounded because , its diagonal entries are nonnegative, and positivity of each principal submatrix gives . The matrix coordinates form a finite-dimensional real Euclidean space, so [F4] gives compactness. The Choi formula determines a map by its values on matrix units, and the overlap in [F2] is a linear function of those values; hence the branch objective is continuous. By [F4] it attains a maximum.
Define the coordinate map by . For and , the pairing gives , so is the adjoint by [F6]; uniqueness follows from [F5], since a vector orthogonal to every vector, including itself, is zero. Also , so each inclusion is an isometry. Coordinate evaluation yields and when . The map retains exactly coordinate ; it is the identity on and zero on the other coordinate subspaces, which are orthogonal to that image by the summed pairing. For every , the vector lies in and the residual has zero coordinate , so it is orthogonal to every vector in that image by [F8]. Thus [F9], viewed as an endomorphism of , identifies as the orthogonal projector onto , and because the sum restores every coordinate of every tuple.
For any decoder on , define . Conjugation by is completely positive, since every finite amplification is conjugation by an inclusion, and it preserves trace because . Composition with therefore makes each a channel. By linearity of the channel action and of the overlap in [F2], . Thus every left-side value is at most the sum of the branchwise suprema.
Choose a maximizing channel for each of the finitely many branches and define . Every compression is completely positive, and a finite sum of completely positive maps is completely positive. Also , since ; hence is a decoder. The coordinate identities in step 2.1 give and for , so for every . The identity in step 3.1 therefore gives the sum of the branch maxima. This achieves the upper bound from step 3.1, proving the equality and the asserted construction.
Depends on
- Code restriction and decoded channel types
- Entanglement fidelity on a finite logical space
- Choi matrix with input factor first
- Finite channel, Kraus, Choi, and Stinespring equivalence
- Heine-Borel in ℝⁿ: with the Euclidean metric a subset of ℝⁿ is compact if and only if it is closed and bounded, and the proof by bisection uses no choice principle; the same holds on the real line
- A continuous real-valued function on a nonempty compact metric space is bounded and attains a greatest and a least value
- Real and complex inner-product spaces and their induced length
- The adjoint T^*:W→ V is characterised by ⟨ Tv,w⟩_W=⟨ v,T^*w⟩_V
- For A∈ M_m× n(F) and B∈ M_n× m(F), tr(AB)=tr(BA)
- Orthogonal vectors and subspaces, orthogonal and orthonormal sets, and orthonormal bases
- The orthogonal projection P_Wv is the W-component in V=W⊕ W^⊥
Used by · 1
Dependency tree · 2 levels
Each result is drawn at its shortest distance from this item. Arrows run from prerequisites to the items that use them; this item has a heavier outline. External source nodes link directly to the cited text. The view shows up to two dependency steps; open a prerequisite to continue.