A Continuity Theorem for Stinespring's Dilation
Dennis Kretschmann, Dirk Schlingemann, Reinhard F. Werner
Introduction and Overview
Completely positive maps (cp maps, for short) describe the dynamics of open quantum systems. Stinespring’s dilation theorem is the basic structure theorem for such maps. It states that any cp map between two -algebras and can be written as a concatenation of two basic cp maps: a ∗-homomorphism into a larger (dilated) algebra (the bounded operators on some Hilbert space ), followed by a compression into the range algebra :
Stinespring’s theorem provides a neat characterization of the set of permissible quantum operations and is also a most useful tool in the theory of open quantum systems and quantum information . In a way, the increased system size is the price one has to pay for a simpler description of the map in terms of just two basic operations.
A triple such that Eq. (1) holds is called a Stinespring representation for . Stinespring’s representation is unique up to partial isometries on the dilation spaces: given two representations and for a completely positive map , there exists a partial isometry such that
for all . A Stinespring representation of a cp map is called minimal iff the set is dense in . If and are two minimal dilations for the cp map , then in Eq. (2) is unitary. Hence, any two minimal dilations are unitarily equivalent.
Our contribution is a continuity theorem for Stinespring’s dilation: two cp maps, and , are close in cb-norm iff there exist corresponding dilations, and , that are close in operator norm:
This result generalizes the uniqueness clause in Stinespring’s theorem to cp maps that differ by a finite amount. As we have seen, uniqueness holds only up to partial isometries on the dilation spaces. So we cannot expect that any two dilations satisfy such a norm bound, only that they can be chosen in a suitable way. Hence the infimum in Eq. (3).
The continuity bound Eq. (3) shows that the distance between two cp maps can equivalently be evaluated in terms of their dilations. We call this distance measure the Bures distance, since it generalizes Bures’s metric from positive functionals to general cp maps. In Sec. 2 we will formally introduce the Bures distance between general cp maps and state the continuity theorem. The remainder of the article is devoted to the proof of the theorem. Sec. 3 gives the lower bound on the Bures distance in terms of the cb-norm, which is elementary. The upper bound is established in Sec. 4; it relies on Bures’s corresponding result for positive functionals and on Ky Fan’s minimax theorem. We first discuss cp maps with range , and then extend the results to cp maps with injective range in Sec. 5. We conclude with a pair of appendices: In App. A we show that the Bures distance is indeed a metric on the set of completely positive maps, and in App. B for completeness we reproduce Bures’s proof of the upper bound for positive functionals.
Building on earlier work by Belavkin et al. , the continuity theorem has appeared in for the special case of unital cp maps (i. e., quantum channels) between finite-dimensional matrix algebras and has been applied to derive bounds on the tradeoff between information gain and disturbance in quantum physics, to establish a continuity bound for the no-broadcasting theorem, and to improve security bounds for quantum key distribution with faulty devices. A generalization to channels between direct sums of finite-dimensional matrix algebras has been used to derive a strengthened impossibility proof for quantum bit commitment .
Main Results
The Bures distance evaluates the distance between two cp maps in terms of their dilations. We first discuss maps with range algebra , the bounded operators on some Hilbert space .
(Bures Distance) Assume a -algebra , a Hilbert space , and two cp maps .
The -distance between and is defined as
where the -fiber of a cp map and a representation is defined as the set of all operators such that dilates . If one or both of the fibers are empty, we set .
The Bures distance between and is the smallest such -distance:
For cp maps with one-dimensional range algebra, i.e. positive functionals, coincides with Bures’s distance function, as introduced in his seminal paper . Our definition is the natural generalization to arbitrary cp maps; we hence choose the same name. The statement of the continuity theorem amounts to showing that the cb-norm and the Bures distance are equivalent distance measures for cp maps.
(Continuity of Stinespring’s Dilation) Let be a C*-algebra, and let be completely positive maps such that for at least one . With defined as in Eq. (5), we then have the following inequality:
Moreover, there exist a common representation for and and two corresponding Stinespring dilations such that
If is the minimal Stinespring dilation for the cp map , we can choose as the common representation in Th. 1. Even more is known for positive functionals: in that case the Bures distance can be evaluated in any common representation . We do not yet know whether this result extends to general cp maps.
What about general range algebras ? Since any -algebra can be faithfully embedded into a norm-closed self-adjoint algebra with a suitably chosen Hilbert space , it may appear natural to define the Bures distance for cp maps in terms of the concatenated maps , with a faithful representation . However, might possibly depend on the embedding representation . We instead choose an intrinsic definition of the Bures distance — and show that it reduces to Def. 1 if .
(Bures Distance for General Range Algebras) Given two -algebras and and two cp maps , the Bures distance is defined as
with completely bounded maps satisfying .
While this definition of the Bures distance admittedly looks quite different from Def. 1, we will show in Sec. 5.1 that the definitions coincide if , and hence it is justified to use the same symbol for both.
With this definition of the Bures distance, Th. 1 can now be generalized to cp maps with injective range algebras. Recall that a -algebra is called injective if for every -algebra and operator system contained in , every completely positive map can be extended to a completely positive map on all of (cf. , Ch. 7). In fact, in order to show that is injective it is enough to find a completely positive map such that for all . is usually called a completely positive conditional expectation. Connes has shown that a von Neumann algebra is injective iff it is hyperfinite, which means that contains an ascending sequence of finite dimensional subalgebras with dense union. We refer to Ch. XVI in Takesaki’s textbook for this and further equivalent conditions for injectivity of von Neumann algebras. A characterization of injective -algebras has been given by Robertson et al. . For cp maps with non-injective range, we only have a lower bound on , though we could always apply Th. 1 to the concatenated maps with some faithful embedding .
(Continuity for General Range Algebras) Let and be -algebras, and let be completely positive. With defined as in Def. 2 above, we have
If in addition is injective, we also have
and for any faithful representation .
The remainder of the article is devoted to the proof of Theorems 1 and 2. We start in Sec. 3 with a lower bound on the Bures distance in terms of the cb-norm.
Lower Bound
A lower bound on the Bures distance in terms of the cb-norm distance easily follows from the standard properties of the operator norm.
(Lower Bound) Let be a -algebra, and be completely positive maps. We then have
Upper Bound
In this Section we will complement Prop. 3 with an upper bound on the Bures distance in terms of the cb-norm . We start by investigating several alternative ways to evaluate the Bures distance — a useful tool for our proof but also a result of independent interest.
Given two cp maps and a representation , we set
The -distance can now be calculated in terms of as follows:
For cp maps and a representation , we have
where denotes the positive trace class operators of unit trace on the Hilbert space .
Proof: The map defines an isometric isomorphism from to the normalized trace class operators (cf. Sec. VI.6 in ). Since in addition is positive, we can write
for and any given representation . The result then immediately follows from the definition of in Eq. (4) and in Eq. (15).
The following lemma allows to replace the infimum over representations and corresponding in Lemma 4 with an infimum over intertwiners between any two fixed Stinespring representations. As advertised in Sec. 2, we will also show how to find a common representation such that .
(Evaluation of the Bures Distance) Let be a -algebra, a Hilbert space, and be two completely positive maps.
Assuming Stinespring dilations for , we define
The set depends only on the cp maps , not on the dilations .
The set can be represented alternatively as
where the union is over all representations admitting a common Stinespring representation for and , and is defined in Eq. (15).
There exists a representation such that . We can choose , where is a minimal representation for .
Proof: For the first part, our strategy is to show that , defined via some dilations , coincides with defined via the minimal dilations . Given two dilations for and , respectively, we know from the uniqueness clause in Stinespring’s theorem that there exist isometries such that and . Since is a projector onto the closed linear span of , we have , and hence
for all , where we have set . The intertwining relations and imply that
for all . Moreover, , since the are isometric. Hence, . The converse is completely analogous, starting with and setting .
In order to show that , it is sufficient to find a common representation such that . Since is independent of the dilations according to part , we can assume it to be defined via the minimal dilations . Given such that , we define the bounded operators by setting
From the proof of part we have for any common representation . We can then immediately conclude from Lemma 4 that
implying . Consequently, the Bures distance can always be evaluated in the direct sum representation of the minimal representations.
Lemma 4 and Lemma 5 can now be applied to derive the desired upper bound on the Bures distance in terms of the cb-norm. For the special case of positive functionals, this result was obtained by Bures (cf. Prop. 11 in App. B), and will now be lifted to cp maps with the help of Ky Fan’s minimax theorem .
(Upper Bound) Let be a -algebra, and be completely positive maps. We can then find a common representation and corresponding dilations for such that
Proof: Spelling out as in Lemma 4 and then making use of the relation from Lemma 5, we have
with , where and are now any two fixed dilations for the cp maps and , respectively. The target functional in Eq. (26) is affine in both inputs. Since the state is trace-class, so is , and hence the functional is weakly continuous in . Moreover, we know from the Banach-Alaoglu theorem (cf. Sec. IV.5 in ) that the unit ball is weakly compact, and hence the infimum is attained. In addition, both optimizations in Eq. (26) are performed over convex sets. Under these conditions, Ky Fan’s minimax theorem guarantees that the order of the optimizations in Eq. (26) can be interchanged to yield
which is the desired result. For the cb-norm bound in the last step we have used that the finite rank operators are dense in . We have seen above that there exists an intertwiner which attains the infima in Eq. (26) and Eq. (27). Lemma 5 then by construction yields a common representation and corresponding dilations such that
Th. 1 now immediately follows by combining the bounds from Prop. 3 and Prop. 6.
Bures Distance for General Range Algebras
So far our discussion has focused on channels with range algebra . In this Section we will investigate completely positive maps with general range algebra . Our results are twofold: in Sec. 5.1 we will justify the intrinsic definition of the Bures distance by showing that it indeed coincides with Def. 1 if . For general range algebras , we will then show in Sec. 5.3 that for any representation . If is injective and is faithful, we even have equality, and hence the Bures distance does not depend on the details of the embedding and can then be shown to be completely equivalent to the cb-norm distance. For the proof we need a monotonicity result for the Bures distance, which we will present in Sec. 5.2.
For the moment, we will denote the Bures distance for cp maps with general range algebra , as introduced in Def. 2, by . We will show in this Section that indeed if . Thus, Def. 2 is a consistent generalization of Def. 1 to general range algebras, and we may henceforth drop the prime.
Let be a -algebra, and let be completely positive. With defined as in Def. 1 and defined as in Def. 2, we then have
holds independently of , and hence follows immediately from Def. 2.
implying that .
2 Monotonicity of the Bures Distance under Cp Maps
We will now show that the Bures distance decreases under quantum operations. Only Eq. (33) is needed in the proof of Th. 2 below, but we include Eq. (34) for completeness.
(Monotonicity) Given three -algebras , , and and cp maps and , we have
For cp maps as above and we have
Since Eq. (35) holds for all extensions , Eq. (33) is proven. The proof of Eq. (34) is completely analogous.
3 Equivalence of Bures Distance and Cb-Norm for Injective Range Algebras
The following proposition shows that for cp maps with injective range algebra , the Bures distance may be evaluated in any faithful representation .
Let and be -algebras, and be completely positive maps. We then have
for any representation . Moreover, if is injective and the representation is faithful equality holds in Eq. (36).
where in the last step we have used that both and are completely positive with norm . Since Eq. (37) holds for all extensions of , we conclude that
for any faithful representation , as suggested.
With the help of Prop. 9, the proof of Th. 2 can now be obtained directly from Th. 1.
Proof of Th. 2: Since the cb-norm is invariant under faithful representations, Eq. (11) immediately follows by choosing the representation to be faithful in Eq. (36) and applying the corresponding bound from Th. 1. If in addition the range algebra is injective, Eq. (12) follows in the same way from Prop. 9 and Th. 1.
Appendix A: Properties of the Bures Distance
In this Section we will show that the Bures distance defined in Eq. (5) indeed has all the properties of a distance measure.
(Bures Distance) The functional is a metric on the set of cp maps .
Proof: Positivity and symmetry are immediate from the definition of . Obviously, . Conversely, Prop. 3 shows that entails , and hence . Thus, it only remains to establish the triangle inequality, for all triples of cp maps . To this end, let be dilations for the cp maps and with a common representation . Further assume that are dilations for the pair with a common representation . As before, will denote the corresponding minimal dilations, with intertwiners for and for . We now set
Now assume that and are chosen as in Prop. 6 such that
Hence, Eq. (43) and the triangle inequality for the operator norm imply that
Appendix B: Bures’s Upper Bound for Positive Functionals
The proof of the upper bound for cp maps that we present in Sec. 4 relies on the corresponding result for positive functionals. In his original paper Bures assumed (normalized) states on von Neumann algebras. The generalization to arbitrary bounded positive functionals on -algebras is straightforward. We nevertheless include it here for completeness and reference.
(Bures’s Bound for Positive Functionals) Let be a -algebra, and let be positive functionals. We then have
The following lemma will establish Prop. 11 under an additional dominance condition. This extra condition will then be removed with the help of Lemma 13, which proves the continuity of the Bures distance with respect to convex mixtures.
Let denote the spectral decomposition of , and set . We then find
Adding Eqs. (49) and (50), we see from Eq. (48) that
Let be a -algebra, and let be two positive functionals. Then the inequality
Proof of Lemma 13: Again, the proof proceeds via a direct sum construction. For we have and , and thus
We know from Prop. 10 that the Bures distance is indeed a metric, and hence we can use the triangle inequality and then Eq. (53) to conclude that
We now have all the necessary tools at hand for the
Proof of Prop. 11: Given a parameter , we define the convex mixture . Choosing a positive integer , we have , and hence follows from Lemma 12. We can then conclude from Lemma 13 that the estimate
holds for all . The limit yields the desired result.
Acknowledgments
We would like to thank Mauro D’Ariano and Vern Paulsen for fruitful and stimulating discussions.
DS acknowledges financial support from Consorzio Nazionale Interuniversitario per le Scienze della Materia (CNISM). DK is grateful for generous support from Deutscher Akademischer Austauschdienst (DAAD).