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Finite cq wiretap achievability with strong Holevo secrecy

Statement

Fix any finite input ensemble (px,ρx) for a finite-dimensional channel N and a complement Nc. Let χB,χE be the Holevo informations of their output ensembles. Every 0<R<χB−χE admits uniform Mn-message codes with mixed input states, Bob POVMs, n−1ln⁡Mn→R, average error tending to zero, and unnormalized complementary-output Holevo leakage tending to zero. The construction has exponentially decaying average error and average trace distance to a fixed complementary product target; dimension-dependent entropy control converts the latter to strong Holevo secrecy.

Facts & Assumptions

Given: The finite-dimensional spaces, states, channels and explicit scalar hypotheses in the Statement.

[F1]

Exponential averaged spectral projectors for a finite cq ensemble: Exponential averaged spectral projectors for a finite cq ensemble.

[F2]

Dimension-dependent quantum entropy continuity and Holevo control: Dimension-dependent quantum entropy continuity and Holevo control.

[F3]

Gentle measurement bound in finite dimensions: Gentle measurement bound in finite dimensions.

[F4]

Finite Hayashi–Nagaoka operator inequality: Finite Hayashi–Nagaoka operator inequality.

[F5]

Finite classical-quantum states and Holevo information: Finite classical-quantum states and Holevo information.

[F6]

Finite-dimensional quantum channel: Finite-dimensional quantum channel.

[F7]

Trace Norm Duality And Norm Properties: Trace Norm Duality And Norm Properties.

[F8]

Trace of a product of positive semidefinite matrices is nonnegative: Trace of a product of positive semidefinite matrices is nonnegative.

[F9]

Entropy bounds for a finite mixture of states: for every finite ensemble, its Holevo information is nonnegative.

[F10]

Complex spectral theorem: a normal endomorphism of a finite-dimensional complex inner product space has an orthonormal eigenbasis, and conversely: the positive operator G has an orthonormal eigenbasis; its inverse square root on positive eigenvalues, extended by zero on the kernel, obeys G−1/2GG−1/2=Πsupp⁡G.

Proof

1.1F1F2F3F4F5F6F7F8F9givenalgebraconstruct

By [F9], χE≥0. Since R<χB−χE, choose r with χE<r and R+r<χB, and then choose η>0 so r>χE+2η and R+r<χB−2η. Take Mn=⌊enR⌋, Ln=⌈enr⌉ and draw MnLn independent words Xn(m,l) with law p⊗n. For message m, the encoder inputs the mixed state ρm,n=1Ln∑l=1Ln⨂i=1nρXi(m,l). This is a legitimate finite private randomization of the operational input state; the realized codebook is public.

2.1F1F2F3F4F5F6F7F8F10step 1.1givenalgebraconstruct

For Bob use the global and conditional spectral projectors P,Qxn from Exponential averaged spectral projectors for a finite cq ensemble, for the receiver ensemble. Put Γm,l=PQXn(m,l)P and G=∑m,lΓm,l. Each Γm,l is nonnegative and Γm,l⪯P⪯I. Using [F10], define G−1/2 spectrally on supp⁡G and as zero on ker⁡G, and set Λm,l=G−1/2Γm,lG−1/2 and Λ⊥=I−Πsupp⁡G. These are nonnegative and ∑m,lΛm,l+Λ⊥=G−1/2GG−1/2+I−Πsupp⁡G=I. Assign Λ⊥ to the pair (1,1); the resulting pair effects still sum to the identity, and coarsening them by m gives Bob's message POVM. For each pair, the Hayashi–Nagaoka inequality [F4] with S=Γm,l and T=∑(m′,l′)≠(m,l)Γm′,l′ bounds its pair-decoding error by twice its own projector failure plus four times its interference sum. The assigned failure effect only decreases the error for its designated pair. The estimate is valid without a uniform per-word projector-acceptance hypothesis: only its average is needed here. Specifically, E[1−tr⁡(Γm,lβXn(m,l))]≤εn+2εn, where εn≤Ce−cn bounds both averaged projector failures. This follows by tr⁡(QxPβxP)≥tr⁡(Qxβx)−∥PβxP−βx∥1 and the gentle-measurement bound followed by Jensen. For two different independent codewords, the spectral eigenvalue and rank bounds give Etr⁡(ΓjβXin)=tr⁡[(PEQXjnP)(Pβˉ⊗nP)]≤e−n(S(βˉ)−η)en(∑xpxS(βx)+η)=e−n(χB−2η). The equality uses the support of the first factor; the inequality uses positivity of the operator-order difference, not commutation of the two factors. Thus expected pair-error is at most 2(εn+2εn)+4MnLne−n(χB−2η), which decays exponentially. Coarsening the pair POVM to its message label cannot increase message error.

3.1F1F2F3F4F5F6F7F8step 2.1givenalgebraconstruct

For Eve let P,Qxn denote the spectral projectors for her ensemble, put sE=∑xpxS(ϵx), and define ξxn=PQxnϵxnQxnP,θ=EξXn. These operators satisfy 0⪯ξxn⪯e−n(sE−η)P, tr⁡ξxn≤1, and rank⁡P≤en(S(ϵˉ)+η). Their average truncation error obeys E∥ϵXn−ξXn∥1≤ζn:=εn+2εn. Indeed the conditional projector commutes with its state, so its trace-norm loss equals its failure probability. Its subnormalized output A satisfies 0⪯A⪯ϵxn, and the global-projection loss is at most 2tr⁡[(I−P)A]≤2tr⁡[(I−P)ϵxn]. The subnormalized gentle estimate follows by applying the normalized lemma to A/tr⁡A and multiplying back (the zero operator is immediate). Jensen gives the stated averaged bound.

4.1F1F2F3F4F5F6F7F8step 3.1givenalgebraconstruct∎

For the Ln independent words of a fixed message, centered Hilbert–Schmidt variance gives Etr⁡[(1Ln∑lξXn(m,l)−θ)2]=1Ln{Etr⁡(ξXn2)−tr⁡(θ2)}≤e−n(sE−η)Ln. All cross terms have zero expectation by independence. The difference is supported in P. Cauchy–Schwarz on singular values and Jensen imply E∥1Ln∑lξXn(m,l)−θ∥1≤en(χE+2η)Ln. Together with ∥θ−ϵˉ⊗n∥1≤ζn, this proves E∥τm,n−ϵˉ⊗n∥1≤2ζn+en(χE+2η)Ln,τm,n=(Nc)⊗n(ρm,n). The right side decays exponentially and is independent of m. Consequently the expectation of the sum of average decoding error and average half-trace distance from this target decays exponentially. The codebook sample space is finite, so order the finite word/codebook alphabet and select its first deterministic codebook whose sum is at most twice its expectation (or zero if that expectation vanishes). This defines a sequence without countable choices. For that codebook let an=Mn−1∑mT(τm,n,ϵˉ⊗n). The proved quantitative entropy estimate yields ℓn≤2annln⁡dim⁡E+2g(an)⟶0. This establishes the required unnormalized Holevo strong secrecy; a mere limit of trace distance without this dimension/error-rate estimate would not suffice. The average decoding error also tends to zero, while n−1ln⁡Mn→R. If the ensemble's private information is nonpositive it gives no positive lower bound; rate zero remains achievable with one message.

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