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Coherent-information concavity and subadditivity for degradable channels
Statement
Let for be finite-dimensional degradable channels with complements . Then is concave and nonnegative. For every joint input state ,
Consequently the supremum coherent information of is the sum of the two single-channel suprema.
Facts & Assumptions
Given: The finite-dimensional degradable channels and joint input state in the Statement.
Degradable and antidegradable channels: for a finite-dimensional channel .
Finite quantum mutual information identities and the Holevo identity: for a finite classical-quantum state, its mutual information equals its Holevo information.
Data processing for finite quantum mutual information: local channels on either register cannot increase finite quantum mutual information.
Finite quantum mutual, conditional, and conditional mutual information: quantum mutual information is defined by .
Complex spectral theorem: a normal endomorphism of a finite-dimensional complex inner product space has an orthonormal eigenbasis, and conversely: every finite-dimensional density operator is a finite mixture of pure eigenstates.
Product additivity of coherent and private information: coherent information is additive on product input states for product channels.
Schmidt decomposition: the receiver and environment marginals of the pure Stinespring output of a pure input have the same positive eigenvalues.
Order, continuity, range, and the product, quotient, and reciprocal laws for the natural logarithm: for positive ; it supports the cq entropy identity stated in [F3].
Proof
Fix a finite input ensemble with average . By [F2] and [F3], , where and denote the receiver and complementary output registers for the ensemble. The finite cq entropy calculation uses the block eigenvalues and the logarithm product law [F10]. Since is obtained from by in [F1], [F4] gives . Thus .
For a joint state , write for its marginals, , and . Expanding the entropies in [F5] and using [F2], [F6] gives . The tensor product maps to , so [F4] gives . The right side is therefore nonpositive, proving the claimed inequality.
Rewrite the inequality using [F2]. For every finite ensemble with average , this yields , which is exactly concavity of coherent information on the finite-dimensional state space.
Let be a spectral decomposition from [F7]. For each pure , an isometric Stinespring dilation produces a pure receiver-environment vector, so the two marginal entropies agree by [F9] and [F5] gives . Concavity from step 2.1 therefore implies .
The inequality in step 1.2 gives the upper bound on the optimized coherent information. Product inputs give equality by [F8]; choosing inputs within arbitrary of each finite supremum and letting proves additivity of the supremum.
The proof uses the finite entropy-identity and strong-subadditivity interfaces listed above. Their source status does not alter the stated mathematical hypotheses.
Depends on
- Degradable and antidegradable channels
- Complementary channels and coherent information
- Private information of a finite channel ensemble
- Finite classical-quantum states and Holevo information
- Finite quantum mutual, conditional, and conditional mutual information
- Private information is an average coherent-information difference
- Product additivity of coherent and private information
- Data processing for finite quantum mutual information
- Finite quantum mutual information identities and the Holevo identity
- Finite-dimensional channels compose and tensor
- Coherent information equals output entropy minus environment entropy
- Complex spectral theorem: a normal endomorphism of a finite-dimensional complex inner product space has an orthonormal eigenbasis, and conversely
- Schmidt decomposition
- Order, continuity, range, and the product, quotient, and reciprocal laws for the natural logarithm
Used by
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Sources
- John Watrous, The Theory of Quantum Information, Exercise 8.3 (standard reference, not scraped)
- Mark M. Wilde, From Classical to Quantum Shannon Theory, second-edition prepublication v8, §§13.5 and 24.8 (standard reference, not scraped)