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.
Finite cq wiretap achievability with strong Holevo secrecy
Statement
Fix any finite input ensemble for a finite-dimensional channel and a complement . Let be the Holevo informations of their output ensembles. Every admits uniform -message codes with mixed input states, Bob POVMs, , 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.
Exponential averaged spectral projectors for a finite cq ensemble: Exponential averaged spectral projectors for a finite cq ensemble.
Dimension-dependent quantum entropy continuity and Holevo control: Dimension-dependent quantum entropy continuity and Holevo control.
Gentle measurement bound in finite dimensions: Gentle measurement bound in finite dimensions.
Finite Hayashi–Nagaoka operator inequality: Finite Hayashi–Nagaoka operator inequality.
Finite classical-quantum states and Holevo information: Finite classical-quantum states and Holevo information.
Finite-dimensional quantum channel: Finite-dimensional quantum channel.
Trace Norm Duality And Norm Properties: Trace Norm Duality And Norm Properties.
Trace of a product of positive semidefinite matrices is nonnegative: Trace of a product of positive semidefinite matrices is nonnegative.
Entropy bounds for a finite mixture of states: for every finite ensemble, its Holevo information is nonnegative.
Complex spectral theorem: a normal endomorphism of a finite-dimensional complex inner product space has an orthonormal eigenbasis, and conversely: the positive operator has an orthonormal eigenbasis; its inverse square root on positive eigenvalues, extended by zero on the kernel, obeys .
Proof
By [F9], . Since , choose with and , and then choose so and . Take , and draw independent words with law . For message , the encoder inputs the mixed state This is a legitimate finite private randomization of the operational input state; the realized codebook is public.
For Bob use the global and conditional spectral projectors from Exponential averaged spectral projectors for a finite cq ensemble, for the receiver ensemble. Put and . Each is nonnegative and . Using [F10], define spectrally on and as zero on , and set and . These are nonnegative and Assign to the pair ; the resulting pair effects still sum to the identity, and coarsening them by gives Bob's message POVM. For each pair, the Hayashi–Nagaoka inequality [F4] with and 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, where bounds both averaged projector failures. This follows by and the gentle-measurement bound followed by Jensen. For two different independent codewords, the spectral eigenvalue and rank bounds give 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 which decays exponentially. Coarsening the pair POVM to its message label cannot increase message error.
For Eve let denote the spectral projectors for her ensemble, put , and define These operators satisfy , , and . Their average truncation error obeys Indeed the conditional projector commutes with its state, so its trace-norm loss equals its failure probability. Its subnormalized output satisfies , and the global-projection loss is at most . The subnormalized gentle estimate follows by applying the normalized lemma to and multiplying back (the zero operator is immediate). Jensen gives the stated averaged bound.
For the independent words of a fixed message, centered Hilbert–Schmidt variance gives All cross terms have zero expectation by independence. The difference is supported in . Cauchy–Schwarz on singular values and Jensen imply Together with , this proves The right side decays exponentially and is independent of . 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 . The proved quantitative entropy estimate yields 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 . If the ensemble's private information is nonpositive it gives no positive lower bound; rate zero remains achievable with one message.
Depends on
- Exponential averaged spectral projectors for a finite cq ensemble
- Dimension-dependent quantum entropy continuity and Holevo control
- Gentle measurement bound in finite dimensions
- Finite Hayashi–Nagaoka operator inequality
- Finite classical-quantum states and Holevo information
- Entropy bounds for a finite mixture of states
- Finite-dimensional quantum channel
- Trace Norm Duality And Norm Properties
- Trace of a product of positive semidefinite matrices is nonnegative
- Complex spectral theorem: a normal endomorphism of a finite-dimensional complex inner product space has an orthonormal eigenbasis, and conversely
Used by
Dependency tree · two levels
64 results within two dependency steps of this one, each drawn at its shortest distance from it. An arrow runs from a result to what uses it, so the chart reads left to right and ends at this result, which carries a heavier outline. Every node is a link to that result. Click elsewhere on the chart to enlarge it.
Sources
- John Watrous, The Theory of Quantum Information (standard reference, not scraped)
- Igor Devetak, The private classical capacity and quantum capacity of a quantum channel (standard reference, not scraped)