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  1. Conditional entropy

    The conditional entropy measures how much entropy a random variable X ... prior information information about X . The conditional entropy is just the Shannon entropy with p ( x ∣ y ) ... p ( x ∣ y ) p ( y ) , one finds that the conditional entropy is equal to H(X|Y) = H(X,Y) - H(Y) with "H(XY)" the joint ...

    Wiki article - JMiszczak - 26/10/2015 - 17:56 - 0 comments

  2. Mutual information

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  3. Quantum discord

    ... it can be nonzero for separable mixed states. Theory Conditional Entropy In classical information theory the amount of ... containing two subsystems (or random variables), A and B. Conditional entropy of B quantifies the uncertainty in measurement of B when A ...

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  4. Classical Entropy Measures

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  5. Coherent information

    ... appeared in Physical Review A. See Also quantum conditional entropy References Nielsen, Michael A. and Isaac L. ...

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  6. Squashed entanglement

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  7. Enhancement of channel capacities with entanglement

    ... = -I_c(A\rangle B) = H(AB)_\varphi - H(B)_\varphi is its conditional entropy and I ( A ;  B ) φ  =  H ( A ) ...

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  8. Strong sub-additivity

    ... One can write it suggestively in terms of the [[conditional entropy as S(A|BC)\leq S(A|B) where it follows from the fact that ...

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