Abstract
This chapter contains a survey of the geometric approach to quantum correlations. We focus mainly on the geometric measures of quantum correlations based on the Bures and quantum Hellinger distances.
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Notes
- 1.
We recall that \(\chi ( \{ \rho _{B|i} , \eta _i\})\) gives an upper bound on the classical mutual information between \( \{ \eta _i\}\) and the outcome probabilities when performing a measurement to discriminate the states \(\rho _{B|i}\).
- 2.
By using the concavity of the entropy S, one can show that the maximum is achieved for projectors \( \Pi _{i}^{A}\) of rank one.
- 3.
Let us recall that a POVM associated to a (generalized) measurement is a family \(\{ M_i\}\) of operators \(M_i \ge 0\) such that \(\sum _i M_i = 1\). The probability of outcome i is \(\eta _i = {\text {tr}}\,M_i \rho \) and the corresponding post-measurement conditional state is \(\eta _i^{-1} A_i \rho A_i^\dagger \), where the Kraus operators \(A_i\) satisfy \(A_i^\dagger A_{i} = M_i\).
- 4.
This can be justified by using the identity (5) and a theorem due to Petz, which gives a necessary and sufficient condition on \(\rho \) such that \(I_{A: B} ( \rho )= I_{A: B} ( \mathcal{M}_{A} \otimes 1 ( \rho ) )\) for a fixed quantum operation \(\mathcal{M}_{A}\) on \(A\) (saturation of the data processing inequality) [39, 71]. We refer the reader to [81] for more detail. Note that the proof originally given in Ref. [66] is not correct.
- 5.
A linear map \(\mathcal{M}: \mathcal{B}( \mathcal{H}) \rightarrow \mathcal{B}( \mathcal{H}' )\) is positive if it transforms a non-negative operator \(\rho \ge 0\) into a non-negative operator \(\mathcal{M}( \rho ) \ge 0\). It is CP if the map
is positive for any integer \(m \ge 1\).
- 6.
Recall that an entanglement monotone E on pure states is a function which does not increase under Local Operations and Classical Communication (LOCC), i.e., \(E ( | \Phi \rangle ) \le E ( | \Psi \rangle )\) whenever \(| \Psi \rangle \) can be transformed into \(| \Phi \rangle \) by a LOCC operation [44, 64].
- 7.
- 8.
This follows from the facts that a function \(D_A\) on \(\mathcal{E}( \mathcal{H}_{AB})\) satisfying (iii) is maximal on pure states if \(n_A\le n_B\) [88] and that any pure state can be obtained from a maximally entangled pure state via a LOCC.
- 9.
Furthermore, \(E^\mathrm{G}_{AB}\) is convex if d is the Bures or the Hellinger distance since then \(d^2\) is jointly convex, see Sect. 4.3. Convexity is sometimes considered as another axiom for entanglement measures, apart from entanglement monotonicity and vanishing for separable states and only for those states.
- 10.
Actually, \(D_A^\mathrm{G}\) clearly obeys axiom (i), irrespective of the choice of the distance. It satisfies axiom (ii) for any unitary-invariant distance, thus in particular for contractive distances. One shows that it fulfills axiom (iii) by using the contractivity of d and the fact that the set of \(A\)-classical states \(\mathcal{C}_A\) is invariant under quantum operations acting on \(B\), as is evident from (9).
- 11.
This identity follows from the relations \(I_{A: B} (\rho )= S( \rho || \rho _A\otimes \rho _B)\) and \(S( \rho || \sigma _A\otimes \sigma _B)- S( \rho || \rho _A\otimes \rho _B) = S( \rho _A|| \sigma _A) +S( \rho _B|| \sigma _B) \ge 0\). It means in particular that the “closest” product state to \(\rho \) for the relative entropy is the product \(\rho _A\otimes \rho _B\) of the marginals of \(\rho \) [59].
- 12.
As we shall see below, \(\rho \) may have an infinite family of closest \(A\)-classical states.
- 13.
See [76] for a discussion on the choice of the non-degenerate spectrum \(e^{\mathrm{{i}}\Lambda }\).
- 14.
The word “local” refers here to the geometry on \(\mathcal{E}( \mathcal{H}_{AB})\) and should not be confused with the usual notion of locality in quantum mechanics.
- 15.
This is a consequence of the following observations [36]: (a) any \(H \in \mathcal{B}( {\mathbb {C}}^2)_\mathrm{sa}\) with spectrum \(\{ \lambda _-, \lambda _+\}\) has the form \((\lambda _+-\lambda _-) \sigma _{\vec {u}}/2+ (\lambda _++\lambda -)/2\), where \(\sigma _{\vec {u}}= \sum _{m=1}^3 u_m \sigma _m\), \({\vec {u}}\) is a unit vector in \({\mathbb {R}}^3\), and \(\sigma _1\), \(\sigma _2\), and \(\sigma _3\) are the three Pauli matrices; (b) as noted in the proof of Proposition 4, the limit in the r.h.s. of (32) is equal to \(g_\rho (- \mathrm{{i}}[ H_A \otimes 1 , \rho ], -\mathrm{{i}}[ H_A \otimes 1, \rho ])\) where \(g_\rho \) is a scalar product. Hence changing the spectrum \(\Lambda \) from \(\{ 0, \pi \}\) to \(\{ \lambda _-, \lambda _+\}\) amounts to multiply \(D_A^\mathrm{SR}\) by the constant factor \([( \lambda _{+} - \lambda _-)/\pi ]^2\).
- 16.
The justification by Lieb and Ruskai [52] of the strong subadditivity of the von Neumann entropy is based on this important theorem.
- 17.
More precisely, the error \(\Delta t = \langle (t_\mathrm{est} - t )^2\rangle ^{1/2}\) in the parameter estimation is always larger or equal to \((\Delta t)_\mathrm{{best}}\) and equality is reached asymptotically as \(N \rightarrow \infty \) by using the maximum-likelihood estimator and an optimal measurement.
- 18.
Actually, if a Riemannian distance d with metric g is such that \(d^2(\rho ,\sigma )\) is jointly convex, then \(g_\rho ( \sum _i p_i O_i, \sum _i p_i O_i ) \le \sum _i p_i g_{\rho _i} ( O_i, O_i)\) for any \(O_i \in \mathcal{{B}} (\mathcal{{H}} )_\mathrm{s.a.}^{0} \) and any \(\rho = \sum p_i \rho _i\). In view of their expressions (61) and (63) in terms of \(g_\mathrm{Bu}\) and \(g_\mathrm{He}\), this implies that the Fisher and skew informations are convex in \(\rho \).
- 19.
- 20.
Here, the contractivity of the classical metrics refers to Markov mappings \( \mathbf{{p}}\mapsto \mathcal{M}^\mathrm{clas}\mathbf{{p}}\) on \(\mathcal{E}_\mathrm{clas}\), with stochastic matrices \(\mathcal{M}^\mathrm{clas}\) having non-negative elements \(\mathcal{M}^\mathrm{clas}_{ij}\) such that \(\sum _i \mathcal{M}^\mathrm{clas}_{ij} =1\) for any \(j=1,\ldots , n\).
- 21.
The first equality is a consequence of (71) and the identity \(S(\rho + t \dot{\rho } ) = S ( \rho ) - S ( \rho + t \dot{\rho } || \rho )- t {\text {tr}}( \dot{\rho } \ln \rho )\), and the second expression follows from \(\ln ( \rho + t \dot{\rho }) = \ln \rho + t \int _0^\infty \mathrm{{d}}u \, ( \rho + u)^{-1} \dot{\rho } ( \rho + u)^{-1} + \mathcal{O}( t^2)\).
- 22.
This follows from the contractivity of \(S_{\alpha ,z} ( \rho || \sigma )\) applied to a measurement with rank-one projectors \(\{ | k \rangle \langle k | \}\) and the fact that \(S_\alpha ^\mathrm{clas} ( \mathbf{{p}}|| \mathbf{{q}}) \ge 0\) with equality if and only if \( \mathbf{{p}}= \mathbf{{q}}\). The property is actually true for any \(\alpha =z >0\) (see e.g. [81]) and, probably, for other values of \((\alpha ,z)\).
- 23.
This family forms a \((n^2+n-2)\) real-parameter submanifold of \(\mathcal{E}( \mathcal{H}_{AB})\).
- 24.
This measurement bears several other names: it is referred to as the “pretty good measurement” in [38] and is sometimes also called “square-root measurement” [29]. For a pure state ensemble \(\{ | \psi _i \rangle , \eta _i\}\), it is given by \(\{ M_i^\mathrm{lsm} = | \widetilde{\mu }_i \rangle \langle \widetilde{\mu }_i | \}\) and the vectors \(| \widetilde{\mu }_i \rangle = \sqrt{\eta _i} (\sum _j \eta _j | \psi _j \rangle \langle \psi _j |)^{-\frac{1}{2}} | \psi _i \rangle \) are such that they minimize the sum of the square norms \(\Vert | \widetilde{\mu }_i \rangle - \sqrt{\eta _i} | \psi _i \rangle \Vert ^2\) under the constraint that \(\{ M_i^\mathrm{lsm}\}\) is a POVM, i.e., \(\sum _i | \widetilde{\mu }_i \rangle \langle \widetilde{\mu }_i | = 1\) [43].
- 25.
Note that the entropic discord can also be interpreted in terms of state distinguishability, but for states of subsystem \(B\). Actually, the measure of classical correlations \(J_{B|A}(\rho )\) is the maximum over all orthonormal bases \(\{ | \alpha _i \rangle \}\) of the Holevo quantity \(\chi (\{ \rho _{B| i}, \eta _i\} )\) (see (4) and the footnote after this equation). The latter is related to the problem of decoding a message encoded in the post-measurement states \(\rho _{{AB}| i}\) when one has access to subsystem \(B\) only.
- 26.
- 27.
- 28.
This inequality follows from the definitions of \(D_\mathrm{He}^\mathrm{R}\) and \(D_\mathrm{Bu}^\mathrm{R}\) and from the trace inequality \(F ( \rho , U_A\otimes 1 \,\rho \,U_A^\dagger \otimes 1) = \Vert \sqrt{\rho }\, U_A\otimes 1 \,\sqrt{\rho }\Vert _1^2 \le {\text {tr}}( \sqrt{\rho } \, U_A\otimes 1 \,\sqrt{\rho }\, U_A^\dagger \otimes 1 )\). It is saturated for pure states (see [78] for more detail).
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Acknowledgements
We acknowledge support from the French ANR project No. ANR-13-JS01-0005-01, the EU FP7 Cooperation STREP Projects iQIT No. 270843 and EQuaM No. 323714, the Italian Minister of Scientific Research (MIUR) national PRIN programme, and the Chilean Fondecyt project No. 1140994.
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Spehner, D., Illuminati, F., Orszag, M., Roga, W. (2017). Geometric Measures of Quantum Correlations with Bures and Hellinger Distances. In: Fanchini, F., Soares Pinto, D., Adesso, G. (eds) Lectures on General Quantum Correlations and their Applications. Quantum Science and Technology. Springer, Cham. https://doi.org/10.1007/978-3-319-53412-1_6
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