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Tip of the Quantum Entropy Cone

Matthias Christandl, Bergfinnur Durhuus, Lasse Harboe Wolff

Abstract

Relations among von Neumann entropies of different parts of an $N$-partite quantum system have direct impact on our understanding of diverse situations ranging from spin systems to quantum coding theory and black holes. Best formulated in terms of the set $Σ^*_N$ of possible vectors comprising the entropies of the whole and its parts, the famous strong subaddivity inequality constrains its closure $\overlineΣ^*_N$, which is a convex cone. Further homogeneous constrained inequalities are also known. In this work we provide (non-homogeneous) inequalities that constrain $Σ_N^*$ near the apex (the vector of zero entropies) of $\overlineΣ^*_N$, in particular showing that $Σ_N^*$ is not a cone for $N\geq 3$. Our inequalities apply to vectors with certain entropy constraints saturated and, in particular, they show that while it is always possible to up-scale an entropy vector to arbitrary integer multiples it is not always possible to down-scale it to arbitrarily small size, thus answering a question posed by A. Winter. Relations of our work to topological materials, entanglement theory, and quantum cryptography are discussed.

Tip of the Quantum Entropy Cone

Abstract

Relations among von Neumann entropies of different parts of an -partite quantum system have direct impact on our understanding of diverse situations ranging from spin systems to quantum coding theory and black holes. Best formulated in terms of the set of possible vectors comprising the entropies of the whole and its parts, the famous strong subaddivity inequality constrains its closure , which is a convex cone. Further homogeneous constrained inequalities are also known. In this work we provide (non-homogeneous) inequalities that constrain near the apex (the vector of zero entropies) of , in particular showing that is not a cone for . Our inequalities apply to vectors with certain entropy constraints saturated and, in particular, they show that while it is always possible to up-scale an entropy vector to arbitrary integer multiples it is not always possible to down-scale it to arbitrarily small size, thus answering a question posed by A. Winter. Relations of our work to topological materials, entanglement theory, and quantum cryptography are discussed.
Paper Structure (7 sections, 5 theorems, 63 equations, 2 figures)

This paper contains 7 sections, 5 theorems, 63 equations, 2 figures.

Key Result

Theorem 1

Let $\rho$ be a pure state of the $N$-partite system $\mathcal{N}=\{X_1,...,X_N\}$ such that $H(X_1)_{\rho} \neq 0$. Suppose further that Then the following bound holds:

Figures (2)

  • Figure 1: The conditions of Theorem \ref{['thm:most general constrained inequality']} are here represented with each circle denoting a constituent system $X_i$. The double lines indicate that the mutual information between the two systems is $0$, and it is assumed that the total state is pure.
  • Figure 2: The solid figure represents the set of permissible values for $( H(A),H(C),H(ABC) )$ satisfying $III_{XY}=0$ for all $X,Y$, given the the inequalities (\ref{['eq: def ssa']}) and (\ref{['eq: def weak monotonicity']}) and Corollary \ref{['cor: constrained inequality N constarints']}. We have further made the projection $H(A)=H(B)$ to get a $3$-dimensional surface. The dashed lines span a part of $\Sigma_3$ ruled out by Corollary \ref{['cor: constrained inequality N constarints']}, and $O$ denotes the apex of $\Sigma_3$. The ray $\ell$ is the top edge in the figure.

Theorems & Definitions (9)

  • Theorem 1
  • Lemma 1
  • Lemma 2
  • Lemma 3
  • proof : Proof of Theorem \ref{['thm:most general constrained inequality']}.
  • Corollary 1
  • proof : Proof of Lemma \ref{['lemma: lower bound V1111']}
  • proof : Proof of Lemma \ref{['lemma: lower bound Va111']}
  • proof : Proof of Lemma \ref{['lemma:product inequality']}