A rate- block code consists of an encoder and decoder , with ; it is reliable when . Choose with . The typical set has probability tending to one and cardinality at most . Encode its words injectively and map every atypical word to a default codeword. The error probability is at most the atypical probability, so reliable compression exists.
A quantum rate- code uses a compression channel into a space of dimension at most followed by a decompression channel; reliability means that its entanglement fidelity, and hence its average source-state fidelity, tends to one on . Diagonalize . The projector onto eigenvectors labelled by the classical typical set has dimension at most and expectation in tending to one. For choose so this typical subspace fits in dimensions, encode it isometrically, and send the orthogonal complement to a fixed state. The typical-subspace probability and the gentle-measurement estimate make the fidelity tend to one. This is Schumacher compression.
Every word in has probability at least , so normalization gives . Choose and then . Every -typical word satisfies , hence and . Injectively encoding and using a default codeword outside it gives rate at most and vanishing error.
The map is a completely positive map when maps positive operators to positive operators for every . In a basis define the unnormalized Choi matrix
If is completely positive, , where . Conversely, decompose and reshape each vector into an operator . The Choi reconstruction formula gives , which is completely positive. Thus
For every ancillary system,
when , proving complete positivity. Cyclicity of trace gives
This equals for every exactly when
the trace-preserving condition in the Kraus representation.
With , the channel has Kraus form and , so it is completely positive and trace preserving. It measures in the basis and prepares the observed basis state, hence is a measure-and-prepare channel. If , then and
Moreover on its support, so
Write , , and . Then
and therefore
The data-processing inequality for quantum relative entropy applied to and part c give
Combining them proves
Both states are block diagonal in . On the support of each block,
Substitution into quantum relative entropy gives
Taking similarly yields the entropy of a classical-quantum state:
Data processing states for every quantum channel . Joint convexity states
Strong subadditivity states .
For strong subadditivity, apply data processing under to and . Expanding both relative entropies cancels and gives precisely the stated inequality. For joint convexity, use flagged states and . Part a gives ; discarding the flag and applying data processing gives joint convexity of quantum relative entropy.
For an ensemble and measurement outcome , the Holevo bound is
where . Form the classical-quantum state . Part a gives
The measurement is a quantum channel from to a classical register . Data processing for relative entropy, applied to the mutual-information representation, gives and proves the bound.
The quantity is the one-use Holevo information of the channel: by the Holevo--Schumacher--Westmoreland theorem, its regularization gives the classical capacity, and without entangled inputs across uses it is the asymptotically achievable classical rate using collective output measurements.
If an ensemble contains a mixed , refine its label to with probability . The average channel output is unchanged, while Concavity of Von Neumann entropy gives
Thus refinement cannot decrease the Holevo quantity, so the maximum may be restricted to pure input states.
For Hermitian , . The adjoint of a trace-preserving completely positive map is unital and positive, so implies . Therefore
Hence trace distance is contractive under quantum channels.
Let be its positive-negative spectral decomposition and let project onto the support of . Since , . Thus
Choose a basis of and define Kraus operators from to by
Then
and
The displayed map is therefore a completely positive trace-preserving measure-and-prepare channel.
For any POVM, part c followed by trace-distance contraction gives
For the binary POVM from part b, equality holds. Consequently
For outcome probabilities and , the hint gives
The left side is at most by part d. Choose a POVM attaining the stated minimum characterization of quantum fidelity; then
The Schmidt decomposition is . Its reduced states are and . They have the same nonzero eigenvalues, so
For the pure state induced by a purification and Stinespring dilation, the coherent information is
Choose any pure input . Its reference system may be one-dimensional, and the Stinespring output on is pure. Its two reduced states have equal entropy by part a, hence
Because is pure, and . Therefore
Thus
For an anti-degradable quantum channel, a channel from simulates . The data-processing inequality for quantum relative entropy applied to quantum mutual information gives . Part d then implies for every input. Part c supplies a pure input attaining zero, so
Assume an anti-degradable channel transmits perfectly with encoder and decoder . Apply its Stinespring isometry to , producing receiver system and environment . The receiver obtains by ; anti-degradability lets the environment simulate the receiver output using , and then also produces .
Apply these two local decoding channels simultaneously to and . Each marginal of the resulting bipartite state is the original pure state . A bipartite state with a pure marginal is a product, so the joint output is . We have therefore constructed one quantum channel mapping every pure to , contradicting the no-cloning theorem for two pure states. Hence no anti-degradable channel can transmit arbitrary quantum information perfectly in one use.

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