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Fast-interval decay approaches a correctable coherent error

PDF p. 16: Opening continuation of S4

Statement

Adopt the finite lifted model and its physical and spectral hypotheses, including the Axiom of Choice, Countable Choice and Dependent Choice. Let the input code be either the specified Æ code in the J=5 block or the specified signed Aydin–Barg code in the J=4 block, and write J for its host spin. Choose a finite set S of model spin labels containing J and J−1, with ∣J′−J∣≤1 for every J′∈S. Let V be its logical isometry, and let ρ0=VρV∗ for a logical density operator ρ. A density operator is positive semidefinite with trace one. Tensor rank one denotes the transformation law of a coherent spherical-tensor component, not matrix rank and not an individually resolved magnetic transition.

For the ideal check at interval τ>0, the first-order normalized detected-decay state of the single-decay map is exactly decoded to ρ by one recovery channel that corrects the complete selected coherent order-one tensor error span. For fixed finite model parameters, the exact checked decay branch has probability pτ=γτ+O(τ2), and its normalized state is decoded to ρ with trace-norm error O(τ) as τ↓0. Known diagonal phase calibration over an interval of length at most τ preserves this limit. The constants may depend on the fixed model and chosen code, but are uniform over logical density operators.

The corresponding unnormalized decoded branch differs from pτρ by O(τ2) in trace norm. This branch estimate alone does not establish an accumulated repeated-check channel bound, a multiple-decay probability, or a laboratory performance claim.

Facts & Assumptions

[F1]

In the stipulated finite lifted model, the three downward jumps are the specified coherent Clebsch–Gordan sums, with γ>0 and a finite real diagonal Hamiltonian. General bounded diagonal lift for fast-checking analysis

[F2]

For an input supported in one excited block, the first-order checked decay branch is Bτ=τ∑δLδρ0Lδ∗, has trace γτ, and differs from the exact checked branch by O(τ2) in induced matrix spectral norm at fixed finite model parameters. Matrix elements of the fast detected-decay state

[F3]

For the selected set S in the Statement, each specified code satisfies the scalar pair-product condition for the complete selected order-one coherent tensor span. Æ rank-one correction with separated error spaces Aydin–Barg rank-one correction and lower host angular momentum Order-one absorption–emission tensor error span

[F4]

A finite Kraus channel between finite input and output spaces satisfying scalar pair products has a decoded recovery channel on the entire output space. The recovery is obtained by diagonalizing its scalar Gram matrix, decoding its nonzero orthogonal error ranges, and sending the remaining output orthogonal complement to a fixed logical state; its off-diagonal error action is the corresponding scalar coefficient times the logical operator. An explicit syndrome recovery corrects a Knill–Laflamme error family

[F5]

A calibrated cycle uses specified diagonal lift values and elapsed time; calibration does not assert observation of an unknown jump time. A normalized conditional-state estimate must be weighted by its branch probability before it contributes to an unconditional channel estimate. Calibrated recovery cycles and accumulated-error contract

[F6]

For a finite-dimensional quantum channel Φ and density operators σ,η on its input space, ∥Φ(σ)−Φ(η)∥1≤∥σ−η∥1. This is trace-distance contractivity, with D(σ,η)=12∥σ−η∥1. Trace Distance Channel Contractivity

[F7]

A finite operator sum Φ(X)=∑aKaXKa∗ between finite-dimensional complex inner-product spaces is completely positive, and it is trace preserving if and only if ∑aKa∗Ka=I on its input space. A finite Kraus sum is completely positive Trace preservation is Kraus normalization

[F8]

On a nonzero finite-dimensional complex Hilbert space, ∥X∥1=Tr⁡X∗X is a norm, ∣Tr⁡X∣≤∥X∥1, ∥YX∥1≤∥Y∥op∥X∥1, and ∥XY∥1≤∥Y∥op∥X∥1. Unitary conjugation preserves this norm. Finite matrix trace-norm ideal inequalities

[F9]

A linear map between finite-dimensional complex inner-product spaces has a singular-value decomposition with orthonormal input and output bases and positive singular values sj, so Xej=sjfj for its nonzero terms. Every linear map between finite-dimensional real or complex inner product spaces admits a singular value decomposition

[F10]

For each complex z, the scalar exponential is the convergent series ez=∑n=0∞zn/n!. The complex exponential by its power series

[F11]

For real x,y, ∣exp⁡(x+iy)∣=ex. In particular ∣eiy∣=1, since the series in [F10] gives e0=1. exp(x+iy)=eˣ(cos y+i sin y), |exp(x+iy)|=eˣ, and e^iπ+1=0

Proof

Given: The stipulated model, one of the two code isometries, a logical density operator, and the ideal check in the Statement.

Goal: Specify a decoder for the full coherent error span and establish the one-branch recovery and short-interval bounds.

1.1givenF1F3F7algebra

Let Hfull be the full finite model space in [F1], let Hsel be the direct sum of the blocks labelled by S in [F3], and let ι:Hsel→Hfull be its isometric inclusion. Regard V as mapping into Hsel and put P=VV∗ there. Choose a finite spanning list E1,…,Em for the selected coherent tensor span. By [F3], PEi∗EjP=cijP. Each cii≥0, and c=∑icii>0 because the span contains the identity and the logical space is nonzero. Define Ai=ιEiP/c and A0=ι(IHsel−P), all with input Hsel and output Hfull. Since ι∗ι=IHsel, their adjoint-square sum is P+(IHsel−P)=IHsel, so [F7] makes their finite operator sum a completely positive, trace-preserving channel. Their scalar pair products on the code are cij/c, and all such compressed products involving A0 vanish.

1.2F1F2F8F9algebra

Let Bτex be the exact unnormalized checked decay output, and let d=dim⁡Hfull≥1. For any endomorphism X of this space, [F9] gives singular values sj and unit vectors with Xej=sjfj, so sj≤∥X∥op. By the trace-norm definition in [F8], ∥X∥1=∑jsj≤d∥X∥op. Thus [F2] gives ετ:=∥Bτex−Bτ∥1=O(τ2) uniformly for density inputs; their operator norm is at most one, since their nonnegative eigenvalues sum to one. By [F8], ∣Tr⁡(Bτex−Bτ)∣≤ετ. Taking traces gives pτ=Tr⁡Bτex=γτ+O(τ2). Since γ>0, for all sufficiently small positive τ we have pτ≥γτ/2>0.

2.1F4step 1.1algebra

Apply [F4] to this channel with output space Hfull. It supplies a channel R:L(Hfull)→L(HL), where HL is the logical space and L(K) denotes the linear operators on K. Its syndrome ranges lie in ιHsel, and its fixed-state completion includes the whole orthogonal complement of ιHsel in Hfull. Thus the decoder is defined even on outputs in other model blocks. The off-diagonal error formula in [F4], after undoing the factor 1/c, gives R(ιEiVXV∗Ej∗ι∗)=cjiX for every logical operator X. By sesquilinearity this holds for all pairs in the selected error span. This extends the selected-space decoder without changing its action on selected-space inputs.

3.1F1F2F3F4step 2.1

On the selected input block, the three jumps in [F1] are coherent rank-one components into its downward neighbor, hence belong to the selected error span after restriction to the code. By [F2], Bτ/(γτ)=∑δLδVρV∗Lδ∗/γ has trace one. The full-space decoder of step 2.1 sends this normalized mixture to ρ: its cross-term formula applies to each jump, and the trace-one normalization makes the sum of the scalar coefficients one. This proves exact recovery of the first-order detected-decay state for either named code.

4.1F2F6F8step 2.1step 3.1step 1.2algebra

Positivity and the trace-norm definition in [F8] give ∥Bτ∥1=Tr⁡Bτ=γτ. Splitting the normalized difference as (Bτex−Bτ)/pτ+Bτ(1/pτ−1/(γτ)), the triangle inequality and step 1.2 give ∥Bτex/pτ−Bτ/(γτ)∥1≤(ετ+∣pτ−γτ∣)/pτ≤2ετ/pτ=O(τ). Both normalized branches are density operators on Hfull, using ι to embed the first-order branch. Apply [F6] to the full-space channel R from step 2.1 and these two states. Step 3.1 then yields the stated decoded conditional error, uniformly over logical density operators.

5.1F1F5F6F8F10F11step 4.1algebra

Write a known diagonal calibration as Uh=diag⁡(eihdx) on Hfull, where the finitely many dx are real fixed lift values, 0≤h≤τ, and either sign convention is absorbed into dx. Each hdx is real, so [F11] gives ∣eihdx∣=1. Entrywise multiplication of the diagonal matrices therefore gives Uh∗Uh=UhUh∗=I, proving that Uh is unitary. Put M=max⁡x∣dx∣. If M=0, then Uh=I. Otherwise choose Mτ≤1/2. For ∣z∣≤1/2, the finite partial sums of [F10] satisfy ∣∑n=1Nzn/n!∣≤∑n=1N∣z∣n≤∣z∣/(1−∣z∣)≤2∣z∣; the middle inequality follows by multiplying the finite geometric sum by 1−∣z∣. Passing to the convergent limit gives ∣ez−1∣≤2∣z∣. Applying this to z=ihdx and using the diagonal basis gives ∥Uh−I∥op≤2Mτ. Since Uh is unitary, ∥Uh∗−I∥op=∥Uh−I∥op and ∥Uh∗∥op=1. For every density operator σ, [F8] gives ∥σ∥1=1 and, from UhσUh∗−σ=(Uh−I)σUh∗+σ(Uh∗−I), the bound ∥UhσUh∗−σ∥1≤2∥Uh−I∥op≤4Mτ. Apply [F6] to UhσUh∗ and σ for the decoder R; together with step 4.1 this preserves its O(τ) conditional error when calibration precedes decoding. If the calibration is instead on the decoded logical space, the same estimate there applies directly.

6.1F5step 1.2step 4.1step 5.1algebra∎

Multiplying the decoded conditional difference by pτ=O(τ) gives the O(τ2) unnormalized branch bound, uniformly over logical density operators. Under [F5], an unconditional repeated-cycle claim would additionally require the other outcomes and a complete composition budget; neither is supplied by this single-branch estimate.

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