Purify the input on and dilate a channel by . The joint state is pure, so complementary entropies obey and . Therefore coherent information is . The positive environment conditional entropy and negative receiving-system conditional entropy are two equivalent forms.
In a purified Stinespring dilation, coherent information satisfies . Nonnegativity of quantum mutual information implies . Equality means that the reference and environment are uncorrelated, so the environment learns nothing about the purified input reference.
A quantum channel on the receiving system cannot increase coherent information: . Dilate the channel to a linear isometry of Hilbert spaces . The difference is of the dilated state, nonnegative by Strong subadditivity of Von Neumann entropy.
The channel acts only on the input system ; the reference is untouched. Write
The coherent information is
The reference marginal remains , whose nonzero eigenvalues agree with those of . Unlike a classical information quantity, coherent information can be negative.
Figure 1.
Quantum channel acting on one half of a purification, with untouched reference and discarded environment
. Details.
The lower diagram uses a Stinespring dilation: append an environment in a fixed pure state, apply a joint unitary operator, and discard the environment by partial trace. Before discarding it, the global state is pure.
Dilate the second quantum channel by an isometry , and set . Its marginal is the final output. Isometry invariance of Von Neumann entropy gives and . The difference between the two values of coherent information is therefore
Nonnegativity follows from Strong subadditivity of Von Neumann entropy. This proves the data-processing inequality for coherent information:
The dilated state here need not be pure. The proof uses only isometry invariance and strong subadditivity, so it applies even when the first channel has already entangled the input with its own discarded environment.
Subadditivity of Von Neumann entropy applied to gives . Together with the environment expression for coherent information,
The channel does not act on . Its reduced state has the same nonzero eigenvalues as the original input , because initially purifies that input. Hence
More precisely, : the coherent information upper bound by input entropy is a consequence of nonnegative quantum mutual information with the environment. Equality holds when and are uncorrelated.
Choose a Stinespring dilation of the quantum channel. Applying it to the input purification gives the pure vector
Its marginal is the output state in the definition of coherent information. Complementary subsystems of a pure state have the same nonzero eigenvalues, by the Schmidt decomposition. Thus and . It follows that
Here denotes quantum conditional entropy, evaluated on the complementary output . This is coherent information as an environment conditional entropy. Equivalently ; the environment expression has the positive sign, while the receiving-system expression has the negative sign.
For a bipartite density operator , let , with , and similarly for other systems. The quantum conditional entropy and coherent information are
Unlike classical conditional entropy, quantum conditional entropy can be negative. For a Bell state, and , giving and coherent information equal to one bit.
Use two results: the isometric Stinespring dilation of a quantum channel, and Strong subadditivity of Von Neumann entropy. Let dilate the given operation, and define
An linear isometry of Hilbert spaces preserves the nonzero eigenvalues, so and . Subtracting the two coherent information expressions gives
The last inequality is Strong subadditivity of Von Neumann entropy, in the form . Thus the data-processing inequality for coherent information is
The lost coherent information is precisely the quantum conditional mutual information between the reference and discarded environment , conditional on the retained output .
For a tripartite density operator, the quantum conditional mutual information is . It is nonnegative by Strong subadditivity of Von Neumann entropy. It measures the coherent information lost when a channel environment is discarded after an isometric dilation.