Conditional quantum entropy

Given a bipartite quantum state ${\displaystyle \rho ^{AB}}$, the entropy of the joint system AB is ${\displaystyle S(AB)_{\rho }\ {\stackrel {\mathrm {def} }{=}}\ S(\rho ^{AB})}$, and the entropies of the subsystems are ${\displaystyle S(A)_{\rho }\ {\stackrel {\mathrm {def} }{=}}\ S(\rho ^{A})=S(\mathrm {tr} _{B}\rho ^{AB})}$ and ${\displaystyle S(B)_{\rho }}$. The von Neumann entropy measures an observer's uncertainty about the value of the state, that is, how much the state is a mixed state.

By analogy with the classical conditional entropy, one defines the conditional quantum entropy as ${\displaystyle S(A|B)_{\rho }\ {\stackrel {\mathrm {def} }{=}}\ S(AB)_{\rho }-S(B)_{\rho }}$.

An equivalent operational definition of the quantum conditional entropy (as a measure of the quantum communication cost or surplus when performing quantum state merging) was given by Michał Horodecki, Jonathan Oppenheim, and Andreas Winter.[3]

Unlike the classical conditional entropy, the conditional quantum entropy can be negative. This is true even though the (quantum) von Neumann entropy of single variable is never negative. The negative conditional entropy is also known as the coherent information, and gives the additional number of bits above the classical limit that can be transmitted in a quantum dense coding protocol. Positive conditional entropy of a state thus means the state cannot reach even the classical limit, while the negative conditional entropy provides for additional information.

• Nielsen, Michael A.; Chuang, Isaac L. (2010). Quantum Computation and Quantum Information (2nd ed.). Cambridge: Cambridge University Press. ISBN 978-1-107-00217-3. OCLC 844974180.
• Wilde, Mark M. (2017), "Preface to the Second Edition", Quantum Information Theory, Cambridge University Press, pp. xi–xii, arXiv:1106.1445, Bibcode:2011arXiv1106.1445W, doi:10.1017/9781316809976.001, ISBN 9781316809976, S2CID 2515538