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Energy-scale independence on the block-diagonal input algebra

Statement

Let N≥0 be an integer and let H=⨁J=0NVJ be a nonzero finite-dimensional complex Hilbert space, with orthogonal projections PJ onto its mutually orthogonal summands. Fix real numbers ηJ, a Hermitian operator D preserving each block, and a finite family L1,…,Lm of linear operators on H, allowing m=0. Suppose LδPJ=PJ−1LδPJ for J≥1 and LδP0=0. For each real parameter ω0, put H0(ω0)=ω0∑JηJPJ. In the finite GKSL channel Nt,ω0 generated by H0(ω0)+D and these jumps, in the conventions ℏ=1, the restriction to the algebra A={X:X=∑JPJXPJ} is independent of ω0 at every fixed time t≥0 when D,Lδ,ηJ are held fixed. This is not a claim about all inter-block coherences.

In particular, this holds for density operators initially supported in a single block VJ. More generally, let R be a nonzero finite-dimensional complex reference Hilbert space, and let Y be an operator on H⊗R satisfying Y=(PJ⊗IR)Y(PJ⊗IR) for some J. Then (Nt,ω0⊗id⁡End⁡(R))(Y) is independent of ω0. This includes density operators entangled with the reference; the support condition means that their support is contained in VJ⊗R.

Facts & Assumptions

[F1]

For a nonzero finite matrix space, a Hermitian Hamiltonian and a finite jump family, the finite GKSL channel at t≥0 is the operator-norm convergent exponential of L(X)=−i[H,X]+∑δ(LδXLδ†−{Lδ†Lδ,X}/2). Finite GKSL evolution and the QEC channel interface

[F2]

A density operator is a nonnegative endomorphism of trace one; its support is the orthogonal complement of its kernel. Density operator

[F3]

Tensor products of finite families of complex-linear maps are the unique linear maps acting factorwise on elementary tensors. On the tensor product of the operator spaces, (N⊗id⁡)(X⊗B)=N(X)⊗B. Tensor products of finitely many linear maps

[F4]

For finite-dimensional complex inner-product spaces with ordered orthonormal bases, the tensor products of their operator matrix units form a basis of the endomorphisms of the tensor-product space. The matrix-unit maps are linear in the root convention that the inner product is linear in its first argument. Tensor products of operator matrix units form a basis

[F5]

The finite tensor product of complex inner-product spaces carries the product inner product, linear in the first argument, characterized by ⟨x⊗r,y⊗s⟩=⟨x,y⟩⟨r,s⟩. Its ordered product basis is orthonormal, and this pairing is independent of the chosen orthonormal factor bases. Ordered tensor registers, their inner product, and wire permutations

Proof

Given: The finite blocks, real energy parameters, fixed Hermitian block-preserving lift, finite fixed jump family and nonnegative time. Goal: Show independence on the block-diagonal algebra and on its stated reference extensions.

1.1givenF1algebra

The orthogonal projections are Hermitian, so real ω0,ηJ make H0(ω0)+D Hermitian, as required by [F1]. If X∈A, then [H0(ω0),X]=0 because H0(ω0) is scalar on each block, and [D,X]∈A. Write TδJ=LδPJ. For distinct J,K≥1, the ranges of TδJ and TδK lie in distinct orthogonal destination blocks, so TδJ†TδK=0; terms with J=0 or K=0 vanish as well. Hence Lδ†Lδ=∑JTδJ†TδJ is block diagonal. Also LδXLδ†=∑JTδJ(PJXPJ)TδJ† is block diagonal. Thus the anticommutator and every other term of the generator preserve A.

1.2givenF3F4F5constructalgebra

For the reference assertion, use the product inner product of [F5] on H⊗R and choose ordered orthonormal bases u1,…,ud of H and e1,…,er of R, with matrix units Uijuk=δjkui and Eabec=δbcea. By [F4], every operator Y on H⊗R has a unique expansion Y=∑i,j,a,bcijabUij⊗Eab. Grouping coefficients gives Y=∑a,bXab⊗Eab with Xab=∑i,jcijabUij, uniquely. This also establishes the product-basis identification used in the Statement: the tensor products of the matrix-unit bases of the two operator spaces are sent to the basis in [F4] by the factorwise operator action. Under this identification, [F3] gives a well-defined extension on all operators, with (Nt,ω0⊗id⁡)(Y)=∑a,bNt,ω0(Xab)⊗Eab. Its factorwise rule determines it uniquely, so changing the chosen orthonormal bases does not change the map.

2.1givenF1step 1.1

The restricted generator on the invariant algebra A is exactly the same linear map for every ω0, since the only parameter-dependent term vanishes there. Induction on the power shows that every power of the generator has the same restriction to A for every ω0. Applying the norm-convergent exponential series of [F1] proves the claimed equality of the restricted channels at fixed t≥0.

3.1givenF1F2F3F4F5step 2.1step 1.2algebra

For a density operator ρ, the condition supp⁡(ρ)⊆VJ is equivalent to ρ=PJρPJ: by [F2] and self-adjointness, containment of the support implies that VJ⊥ is in the kernel and that the range is in VJ; conversely the displayed identity puts VJ⊥ in the kernel. Thus such a ρ belongs to A. For the reference assertion, the support identity in the Statement and uniqueness of the expansion in step 1.2 imply Xab=PJXabPJ for every a,b: multiplying ∑a,bXab⊗Eab on both sides by PJ⊗IR replaces each coefficient by PJXabPJ. Each extended-output coefficient Nt,ω0(Xab) is therefore independent of ω0 by step 2.1. By [F5] and the factorwise action in [F3], QJ=PJ⊗IR satisfies QJ2=QJ and ⟨QJv,w⟩=⟨v,QJw⟩, first on elementary tensors and then on all vectors by sesquilinearity; its range is VJ⊗R. Thus QJ is the orthogonal projection onto that subspace, and the same support-kernel argument applies to density operators on H⊗R.

4.1step 1.1step 1.2step 2.1step 3.1algebra∎

The subsequent-recovery consequence uses only functions: let E be either output operator space, S a fixed set, and Q:E→S any fixed function. For any fixed-input output Zω0∈E proved independent above, equality of the outputs implies equality of Q(Zω0). More generally put Tω0=Nt,ω0∣A, a complex-linear map from A to itself by steps 1.1 and 2.1. Let Φ be a fixed function assigning to every complex-linear map A→A a function E→S. Since Tω0=Tω0′, we have Φ(Tω0)=Φ(Tω0′) and therefore Φ(Tω0)(Zω0)=Φ(Tω0′)(Zω0′). A fixed subsequent recovery, or one selected solely by such a fixed rule from the restricted channel, has exactly this function-composition property. No positivity or other channel property of the postprocessing function is needed for this consequence.

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