Alphabeta Math
PropositionStatement: AI-adaptedProof: AI-generated
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.

Resolved rank-one transition obstructs exact correction

PDF p. 1: Paragraph following Eq. (1)

Statement

Let HL, HP, and HO be finite-dimensional complex inner-product spaces, let V:HL→HP be an isometry, and let P=VV† project onto the codespace C=V(HL). Suppose dim⁡HL≥2. Let a quantum channel N:L(HP)→L(HO) have a finite Kraus representation containing the nonzero operator E=∣f⟩⟨s∣, where s∈HP and f∈HO. If Ps≠0, the code is not exactly correctable for N. In particular, this applies when source and final states are orthogonal unit vectors in the same physical space.

Here a Kraus representation is an operator sum N(X)=∑aEaXEa†, and exact correction means that a quantum channel R:L(HO)→L(HL) satisfies R(N(VXV†))=X for every X∈L(HL). The condition Ps≠0 expresses nonzero support of the codespace on the source state.

The dimension restriction matters: an orthogonal rank-one transition can occur in a channel that is exactly correctable on a one-dimensional code with Ps≠0.

Facts & Assumptions

[F1]

On arbitrary finite-dimensional complex inner-product spaces, the bra-ket conventions give ∣f⟩⟨s∣x=⟨x,s⟩f, with the root inner product linear in its first argument. Dirac Notation Conversion For the coordinate spaces used in the boundary example, these agree with Finite operator and ket conventions.

[F2]

The code projector, channel and exact decoded recovery have the meanings stated in Code restriction and decoded channel types; finite Kraus representations are operator sums as in Finite Kraus representation.

[F3]

If a finite-dimensional code of dimension at least two is exactly correctable for a channel whose finite Kraus family contains a nonzero operator x↦⟨x,s⟩f, then its code projector satisfies Ps=0. Dimensional boundary of a rank-one KL obstruction

[F4]

For finite-dimensional complex inner-product spaces H,K, a complex-linear map Φ:L(H)→L(K) with a finite Kraus family (Ka) satisfying ∑aKa†Ka=IH is a quantum channel. Finite channel, Kraus, Choi, and Stinespring equivalence

Proof

Given: The spaces, isometry, channel, Kraus operator and dimension hypothesis in the statement, with Ps≠0.

Goal: Prove that exact correction is impossible and exhibit the one-dimensional boundary.

1.1givenF1F2F3

By [F1], the designated Kraus operator has the form required by [F3]. If exact correction existed, [F3] would give Ps=0, contrary to the given support condition. Therefore no exact decoder exists. Orthogonality of s and f is not needed for this implication.

1.2F1F2F4constructalgebra

For the boundary, take HP=HO=C2 with orthonormal basis s,f, take HL=C and V(1)=s. Set E=∣f⟩⟨s∣, F=∣f⟩⟨f∣ and N(X)=EXE†+FXF†. This operator sum is complex-linear and E†E+F†F=∣s⟩⟨s∣+∣f⟩⟨f∣=IC2. Hence [F4], with H=K=C2, shows that N is a quantum channel. Direct evaluation gives N(X)=Tr⁡(X)∣f⟩⟨f∣ for every X∈L(C2).

2.1F1F2F4step 1.2constructalgebra∎

Define Rs=⟨s∣ and Rf=⟨f∣ as maps from C2 to C, and set R(Y)=RsYRs†+RfYRf†=Tr⁡(Y). This map is complex-linear and Rs†Rs+Rf†Rf=∣s⟩⟨s∣+∣f⟩⟨f∣=IC2. By [F4], now with H=C2 and K=C, R is a quantum channel. For every X∈L(C), the formula in step 1.2 gives N(VXV†)=X∣f⟩⟨f∣, identifying endomorphisms of C with scalars, and therefore R(N(VXV†))=X. Yet Ps=s≠0 and s⊥f. Thus the asserted one-dimensional example exists.

Remarks

The article states the obstruction for any codespace with support on the source state and cites its Ref. 9. The proposition makes the dimension condition explicit; the example shows why the unqualified wording cannot be extended to arbitrary one-dimensional codes under the stated channel interpretation. The article discusses encoded qubits, for which the code dimension is two.

Depends on

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.

Sources