Abstract
The reduced dynamics of the system S, interacting with the environment E, is not given by a linear map, in general. However, if it is given by a linear map, then this map is also Hermitian. In order that the reduced dynamics of the system is given by a linear Hermitian map, there must be some restrictions on the set of possible initial states of the system-environment or on the possible unitary evolutions of the whole SE. In this paper, adding an ancillary reference space R, we assign to each convex set of possible initial states of the system-environment , for which the reduced dynamics is Hermitian, a tripartite state , which we call the reference state, such that the set is given as the steered states from the reference state . The set of possible initial states of the system is also given as the steered set from a bipartite reference state . The relation between these two reference states is as , where is the identity map on R and is a Hermitian assignment map, from S to SE. As an important consequence of introducing the reference state , we generalize the result of Buscemi (2014 Phys. Rev. Lett. 113 140502): we show that, for a U-consistent subspace, the reduced dynamics of the system is completely positive, for arbitrary unitary evolution of the whole system-environment U, if and only if the reference state is a Markov state. In addition, we show that the evolution of the set of system-environment (system) states is determined by the evolution of the reference state ().
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1. Introduction
Consider a closed finite dimensional quantum system which evolves as
where ρ and are the initial and final states (density operators) of the system, respectively, and U is a unitary operator (, where I is the identity operator).
In general, the system is not closed and interacts with its environment. We can consider the whole system-environment as a closed quantum system which evolves as equation (1). So the reduced state of the system after the evolution is given by
where is the initial state of the combined system-environment quantum system and U acts on the whole Hilbert space of the system-environment.
In general, the relation between the initial state of the system and its final state is not given by a map [1, 2]. Even if it is given by a map, then, in general, this map is not a linear map [3, 4]. In order that equation (2) leads to a linear map from to , there must be some restrictions on the set of possible initial states of the system-environment or on the possible unitary evolutions U [2, 5].
However, if the reduced dynamics of the system from to can be given by a linear map Ψ, then this Ψ is also Hermitian, i.e. maps each Hermitian operator to a Hermitian operator. Now, an important result is that for each linear trace-preserving Hermitian map from to , there exists an operator sum representation in the following form:
where are linear operators and ei are real coefficients [2, 6, 7]. For the special case that all of the coefficients ei in equation (3) are positive, then we call the map completely positive (CP) [8] and rewrite equation (3) in the following form:
where .
A general framework for linear trace-preserving Hermitian maps, arisen from equation (2), when both the system and the environment are finite dimensional, has been developed in [2]. The starting point of this framework is to consider a convex set of initial states , for the whole system-environment, i.e. if , then , for .
As we will see in the next section, an straightforward way to construct a convex is to consider the set of steered states from performing measurements on the part R of a fixed tripartite state , which is a state on the Hilbert space of the reference-system-environment .
We call the reference state and we will show that if it can be written as equation (7) below, then the reduced dynamics of the system is Hermitian. Interestingly, this result includes all the previously found sets , in [9–14], for which the reduced dynamics of the system is CP.
Then, we question whether it is possible to find such reference state for arbitrary convex set , for which the reduced dynamics is Hermitian. Fortunately, this is the case as we will show in section 3. The possibility of introducing the reference state , for arbitrary , has an important consequence: in section 4, we generalize the result of [13], i.e. we show that, for arbitrary , when is not a so-called Markov state, then the the reduced dynamics of the system, for at least one U, is not CP.
Sections 3 and 4 are on the case that there is a one to one correspondence between the members of and the members of . The general case, where there is no such correspondence, is given in section 5.
In section 6, we consider the case studied in [4], as an example, to illustrate (a part of) our results, and finally, we will end this paper in section 7, with a summary of our results.
2. Reduced dynamics for a steered set
Assume that, for each , the reduced dynamics of the system is given by a map Ψ. So, for each , we have:
The first obvious requirement that such a map Ψ can be defined, is the U-consistency of the [2], i.e. if for two states , we have , then we must have .
Interestingly, if is convex and U-consistent, then the reduced dynamics of the system is given by a (linear trace-preserving) Hermitian map [2].
An straightforward way to construct a convex is to consider the set of steered states from performing measurements on the part R of a reference state [13, 15]:
where PR is arbitrary positive operator on such that and ISE is the identity operator on . Note that, up to a positive factor, PR can be considered as an element of a POVM.
It can be shown simply that the set of initial states of the system-environment , in equation (6), is convex. So, if, in addition, it be a U-consistent set, then the reduced dynamics of the system, for all (), is given by a Hermitian map, as equation (3).
Note that if there is a one to one correspondence between the members of and the members of , then, trivially, the U-consistency condition is satisfied. In other words, if, for each , there is only one such that , then the set is U-consistent, for any arbitrary unitary evolution of the whole system-environment U.
Now, let us consider the case that the reference state can be written as
where , is the identity map on and is a Hermitian map. ( is the space of linear operators on .) So, each , in equation (6), can be written as
where, the map on is defined as , for each . In addition, without loss of generality, we have considered only those , in equation (6), for which we have . Therefore
where, in the fourth line, we have used this fact that, according to equation (7), we have .
Next, assume that is an orthonormal basis (according to the Hilbert–Schmidt inner product [8]) for . So, we can decompose as
where Rj are linear operators in . Therefore, from equation (9), we have
where . From equations (7) and (10), we have
So, from From equations (8) and (11), we get
Now, if , then, at least for one j, we have . So, from equation (11), we conclude that . Therefore, there is a one to one correspondence between the members of and the members of , and so, the U-consistency condition is satisfied for the set , steered from the in equation (7).
In summary, we have proved the following proposition:
Proposition 1. If the set of possible initial states of the whole system-environment is given by the set of steered states from the tripartite reference state in equation (7), then the reduced dynamics of the system, for arbitrary unitary evolution of the whole system-environment U, is given by a (linear trace-preserving) Hermitian map.
For the special case that in equation (7) is a CP map, is called a Markov state [16], and the reduced dynamics of the system, for arbitrary U, is, therefore, CP [13]. In fact, the reverse is also true. In summary, we have [13]:
Theorem 1. For a set of steered states, from a tripartite reference state , as equation (6), the reduced dynamics of the system, for arbitrary U, is CP if and only if is a Markov state.
Remark 1. During the proof of theorem 1 in [13], it has been assumed that, in general, the dimensions of and can vary during the evolution, while the dimension of remains unchanged.
Interestingly, all the previous results, in this context, are special cases of the above result: all the previously found sets of the system-environment initial states in [9–12], for which the reduced dynamics of the system, for arbitrary U, is CP, can be written as steered sets, from Markov states [14].
This fact that equation (7), for the special case of completely positive , gives such interesting general results, leads us to this conjecture that equation (7), for the general case of Hermitian , can also yield general interesting results. In fact, as we will prove in the following section, for arbitrary convex set of system-environment initial states , which leads to Hermitian reduced dynamics, we can assign a tripartite reference state , as equation (7).
3. Reference state for a U-consistent subspace
Let us denote the convex set of possible initial states of the system-environment as , and so, the convex set of possible initial states of the system as . Since the Hilbert space of the system is finite dimensional, one can find a set including a finite number of which are linearly independent and other states in can be decomposed as linear combinations of them: , where m is an integer and (dS is the dimension of , so is the dimension of ), and, for each , we have with real bj.
Consider the set , where . So, are also linearly independent. Now, there is a one to one correspondence between the members of and the members of if and only if each can be decomposed as a linear combination of : . (Note that the coefficients bj in the decomposition of are the same as bj in the decomposition of .)
So, if the set constructs a basis for the convex set , then is, in addition, U-consistent for arbitrary U, and, as we will see in the following, the reduced dynamics of the system is Hermitian.
Now, we can define the linear trace-preserving Hermitian map as , where and so . Therefore, for each , we have
where such that . The Hermitian map is called the assignment map [2, 17]. So, from equation (14), for arbitrary unitary evolution U for the whole system-environment, we have
where is a Hermitian map on , since and are completely positive [8] and is Hermitian.
Now, our question is as follows: can we assign to the above convex U-consistent a tripartite reference state , such that is the set of steered states from this ?
Without loss of generality, as we will show in the following, we consider a restricted set , instead of , such that each can be decomposed as , with , where is a probability distribution ( and ). As , the set is convex (and U-consistent) and so the set is also convex.
First, we define the bipartite state
where and is an orthonormal basis for the reference Hilbert space . So, using the assignment map in equation (14), we have
where such that . Therefore, using equation (6), we can write the set as the steered set from the tripartite reference state , given in equation (17). It can be done, e.g. by considering the positive operators PR in equation (6) as . Note that , in equation (17), is in the form of equation (7), with the Hermitian assignment map .
In summary, we have proved the following theorem:
Theorem 2. Consider a set of linearly independent states . So, the set , such that (for each ), is also linearly independent. The set of the convex combinations of is convex and U-consistent, for arbitrary unitary evolution of the whole system-environment. Therefore, if the set of possible initial states of the system-environment is given by , then the reduced dynamics of the system is given by a Hermitian map . In addition, can be written as the steered set from a tripartite reference state , given in equation (17), which is in the form of equation (7), with the Hermitian assignment map .
Next, let us define as the subspace spanned by the states ; i.e. for each , we have with unique complex coefficients cl. Obviously .
So, the subspace is spanned by the states : for each , we have with the same coefficients cl as in the decomposition of X.
Note that, since there is a one to one correspondence between the and the , the whole subspace is U-consistent, for arbitrary U.
In addition, we can write the subspace as
where AR is arbitrary linear operator in and is the reference state, given in equation (17). We will call the above set the generalized steered set from the reference state . Using this fact that if the subspace is U-consistent, for arbitrary U, then there is a one to one correspondence between the and the [2], we can write the above result in the following form:
Corollary 1. Consider the subspace , which is spanned by states. If is U-consistent, for arbitrary U, then it can be written as the generalized steered set from the reference state , as equation (18).
Note that, since , can be written as (a subset of) equation (18). In our discussion, leading to the reference state in equation (17), we have restricted ourselves to the set , instead of . Now, as stated before, we see that this restriction does not lose the generality of our discussion.
The next observation is that the evolution of the system subspace and the whole system-environment subspace can be given from the evolution of in equation (16), and in equation (17), respectively. So, we can call as the reference state of the system and as the reference state of the whole system-environment. Note that these two reference states are related to each other as equation (7).
Assume that the unitary time evolution of the whole system-environment, from the initial instant to the time t, is given by . So, evolves as
where is given in equation (17). As stated before, each can be written as . So, and therefore
where AR is arbitrary linear operator in and is the reference state of the system-environment, given in equation (19).
Similarly, evolves as
where is given in equation (16) and is a Hermitian map on . Each can be decomposed as . So, and therefore
where AR is arbitrary linear operator in and is the reference state of the system, given in equation (21).
In summary,
Corollary 2. Consider the subspace , which is spanned by states. If is U-consistent, for arbitrary U, then and can be written as the generalized steered sets, from the reference states , in equation (19), and , in equation (21), respectively.
In general, there are more than one possible assignment maps . So, it may be possible, by choosing an appropriate , to write the reduced dynamics of the system S as a CP map. Note that, from equations (16) and (21), we have
Now, if the time evolution of the system can be written as a CP map, then, since , where is a CP map on , we have
i.e. even if we have used a which leads to equation (21), with a non-CP map , can be written as equation (24) too.
Reversely, if , in equation (23), can be written as equation (24), then, using this fact that , we, simply, conclude that , and so, the reduced dynamics of the system is given by the CP map . In summary,
Theorem 3. The reduced dynamics of the system can be written as a CP map if and only if the reference state , in equation (23), evolves as equation (24), with a CP map .
4. Markovianity of the reference state and the complete positivity of the reduced dynamics
Theorem 1 states the relation between the Markovianity of the reference state and the CP-ness of the reduced dynamics, for a steered set as equation (6). In the previous section, we have seen that, for an arbitrary U-consistent subspace , we can also introduce a reference state as equation (17), such that can be written as the generalized steered set from it. Therefore, we conjecture that theorem 1 can be generalized to arbitrary U-consistent subspace . Fortunately, this is the case, as we will show in this section.
A tripartite state is called a Markov state if it can be written as , where , and is a CP assignment map [16]. Now, it has been shown in [16] that if is a Markov state, then there exists a decomposition of the Hilbert space of the system S as such that
where is a probability distribution, is a state on , and is a state on .
Consider a set which spans the subspace . In general, we can consider different assignment maps such that, for all of them, , where and , and so, we can write equation (14), for all of them. Different assignment maps can lead to different reduced dynamics , in equation (15).
Therefore, it is possible that we choose a Hermitian (non-CP) assignment map to construct the reference state in equation (17), while there is another CP assignment map which could be used instead. So, the reduced dynamics could be written as a CP map, while we write it as a non-CP map. How can we avoid such inappropriate choosing?
Note that if there is a CP assignment map , such that, for all , we have , then in equation (17) is a Markov state, even if we have used a non-CP assignment map to construct it. So, we can check whether can be written as equation (25), or not. If it can be written so, then the reference state is a Markov state, and the reduced dynamics is CP, for arbitrary U.
But if cannot be written as equation (25), then we conclude that there is no CP assignment map which can map all to . In other words, though there may be more than one possible assignment maps , but none of them is CP.
Also note that, for the subspace , we can construct different reference states as equation (17), in general: by choosing a different set , which also spans , we can construct a different . Interestingly, if the previously constructed reference state is non-Markovian, this new reference state is not a Markov state, too; otherwise, there is a CP assignment map which maps all to .
In summary, we have proved the following theorem:
Theorem 4. Consider the subspace , which is spanned by states and is U-consistent, for arbitrary U. One can find, at least, one CP assignment map , which maps to , if and only if any reference state , which is constructed as equation (17), is a Markov state, as equation (25).
Next, consider the case that the reference state , in equation (17), is not a Markov state. Construct the set of steered states from , i.e. the set in theorem 2. Using theorem 1, we conclude that the reduced dynamics of the system is non-CP, for at least one U. Since , the non-CP-ness of the reduced dynamics for results in the non-CP-ness of the reduced dynamics for . In other words,
Theorem 5. Consider the subspace , which is U-consistent, for arbitrary U, and can be written as the generalized steered set, from the reference state , in equation (17). When is not a Markov state as equation (25), then the reduced dynamics of the system, for at least one U, is non-CP.
The above theorem, states that, not only for a steered set of initial states of the system-environment as equation (6), but also, for any arbitrary subspace , which is U-consistent for all U, the reduced dynamics of the system, for arbitrary U, is CP if and only if the reference state is a Markov state. This is the generalization of theorem 1, to arbitrary U-consistent subspace .
The following point is also worth noting:
Corollary 3. Theorems 4 and 5 state that the impossibility of a CP assignment map is equivalent to non-CP-ness of the reduced dynamics, for at least one U.
5. Generalization to arbitrary -consistent subspace
Until now, our discussion was restricted to the case that there is a one to one correspondence between the members of and . We can generalize our discussion to include the general case (with no such correspondence), straightforwardly.
Consider the subspace , which is spanned by states. If there is not a one to one correspondence between the members of and the members of , then is U-consistent only for a restricted set (, is the set of all unitary ) [2]. In such case, the subspace is called a -consistent subspace.
Assume that the set of linearly independent states , where M is an integer such that (dS and dE are the dimensions of and , respectively), spans the subspace . Without loss of generality, we can assume that only , for (where the integer is, in addition, less than M), are linearly independent. So, the subspace is spanned by the set of states .
As before, we can define the (linear trace-preserving) Hermitian assignment map as , where , and , and so, we can write a similar relation as equation (14), for each . Therefore, the assignment map maps to a subspace , which is spanned by .
Note that
where, for each , we have . So, the most general possible assignment map is as
where denotes arbitrary .
Each maps to , the set of all for which we have , and so, is U-consistent under all [2]. Therefore, for a unitary time evolution , from equation (26), we have
where and is given as equation (20), i.e. as the generalized steered set from the reference state in equation (19).
In addition, for each and each , we have . Therefore, as before, can be written as equation (22), i.e. as the generalized steered set from the reference state in equation (21).
So, we have proved the following proposition:
Proposition 2. Consider the -consistent subspace , which is spanned by states. For each , , even simply, can be written as the generalized steered set, from the reference state in equation (21). In addition, , where is a subset of and can be written as the generalized steered set, from the reference state in equation (19).
Note that theorem 3 is valid for a -consistent subspace, too, since, even simply, the reduced dynamics of the system is determined by the evolution of the reference state .
In the following, we discuss about the generalization of the results given in the previous section, to a -consistent subspace . First, theorem 4 is changed as below:
Theorem 4'. Consider a -consistent subspace , which is spanned by states. There exists, at least, one CP assignment map if and only if, at least, one reference state , as equation (17), is a Markov state, as equation (25).
Note that when there exists a CP assignment map , then using this in equation (17), we can construct a Markov reference state . But, from the CP-ness of , we cannot, in general, conclude that is also CP. So, in general, one can construct other reference states which are not Markov states. However, if, for our -consistent subspace , we can find a reference state , as equation (17), which is a Markov state, as equation (25), then the reduced dynamics of the system is CP, for any arbitrary .
Unfortunately, theorem 5 cannot be generalized to a -consistent subspace , in general. Assume that the reduced dynamics of the system is CP, for any arbitrary . The CP-ness of the reduced dynamics, for any , results in the CP-ness of the reduced dynamics, for any convex set of initial states . Therefore, for the steered set , from any reference state , constructed as equation (17), the reduced dynamics is CP, for any arbitrary . But, from this result, we cannot (in general) conclude that is a Markov state, unless , which is the case considered in the previous section. In fact, as we will see in the next section, the reduced dynamics can be CP, for some (but not all) U, even though is not a Markov state.
6. Example
In [4], a two-qubit case, one as the system S and the other as the environment E, has been considered. First, note that an arbitrary state of the system can be written as
where , are the Pauli operators, and the Bloch vector is a real 3D vector such that [8].
Consider the following (linear trace-preserving) Hermitian assignment map :
where a is a fixed real constant. For the special case that a = 0, we have , for each , i.e. is a CP map, in the form first introduced by Pechukas [6, 17]. We denote this special case of as . But, for , is not CP. We have
When , is positive for , and when , is positive for [2, 4]. Therefore, for , is not even a positive map and, consequently, it is not a CP map.
Within the positivity domain of , i.e. , we can apply the framework of [2]. we can construct as [2]
i.e. each can be decomposed as , with complex coefficients ci. (Out of the positivity domain, , in equation (31), is not a state. In other words, does not contain any state, and so, is not spanned by states.) Therefore,
From equations (32) and (33), we see that there is a one to one correspondence between the members of and the members of . Therefore, is a U-consistent subspace, for arbitrary unitary evolution of the whole system-environment U, and so, the reduced dynamics of the system, from equation (2) (when , in equation (31), is positive), is given by
Since is Hermitian (and not CP), we expect that the reduced dynamics be so, in general. But, interestingly, when U commutes with , is CP [4]. For such U, we have
which is a CP map. An interesting question is whether this result can be generalized to other U or whether we can find at least one U, for which the reduced dynamics is not CP.
This question can be answered simply, using theorem 5. For an a within the positivity domain , we, first, choose four states , which can span :
where is an arbitrary real constant such that, for , , and for , . Therefore, from equation (16), we can construct the reference state as
Next, using equations (31) and (36), we can construct four states , which span :
So, from equation (17), the reference state is
Third, we will show that the , in the above equation, is not a Markov state, as equation (25). For our case, where S is a qubit, there are only three possibilities for decomposing : , , and , where and are 1D. Therefore, a tripartite state is a Markov state if it can be written as , where and , or as , where and , or as
where is a probability distribution, are states on , are states on , and is an orthonormal basis for .
Now, from equation (39), we can verify simply that, for , can not be written as or . (For a = 0, from equations (37) and (39), we see that , i.e. is a Markov state.)
In addition, we cannot write as equation (40). For a , which can be written as equation (40), we have
From equation (37), we see that . On the other hand, if can be written as equation (41), we have
where . So, all must commute with each other. But, from equation (36), we see that this is not the case. Therefore, cannot be written as equation (40). Finally, we conclude that, for , the reference state , in equation (39), is not a Markov state, as equation (25).
Theorem 5 states that the non-Markovianity of leads to the non-CP-ness of the reduced dynamics, for, at least, one U. This is in agreement with the result of [2, 4]. In [4], a class of unitary operators as
has been introduced, where, for some values of θ, the reduced dynamics of the system is non-CP [2, 4]. Note that, even if one shows that the non-CP-ness of the reduced dynamics, for the above U, is due to inappropriate choosing the assignment map as equation (30), theorem 5 assures that there exists, at least, one other U, for which the reduced dynamics is non-CP, with any possible assignment map (with any possible reference state ).
It is also worth noting that the above example shows that, even when the reference state is not a Markov state, the reduced dynamics can be CP for some (but not all) U, in our case, at least, all U which commute with .
7. Summary
An straightforward way to construct a convex set of initial states of the system-environment is to consider the set of steered states, from a reference state . In section 2, we have shown that if can be written as equation (7), then the reduced dynamics of the system is Hermitian. For the special case that the assignment map , in equation (7), is CP, the reduced dynamics is so CP. Interestingly, this includes all the previous results in this context, in [9–14].
The convex set of initial states is the starting point of the framework introduced in [2]. From this , we can construct the subspace . Now, in section 3 (section 5), we have shown that () and can be written as the generalized steered sets, from the reference states and , in equations (16) and (17), respectively. The relation between and is as equation (7). Therefore, the steered set, from a reference state as equation (7), gives us the most general set (within the framework of [2]) for which the reduced dynamics is Hermitian.
In addition, the evolution of the system-environment (system) states is given by the evolution of the reference state, in equation (19) (equation (21)). Interestingly, for a unitary evolution of the system-environment U, the reduced dynamics of the system is CP if and only if can be written as equation (24), with a CP map .
This fact that we can construct reference state , for arbitrary U-consistent subspace, leads us to an important result, i.e. the generalization of the result of [13], to arbitrary -consistent : the reduced dynamics of the system, for arbitrary system-environment unitary evolution U, is CP if and only if the reference state , in equation (17), is a Markov state, as equation (25).
Finally, in section 6, we have considered the case studied in [4]. This example illustrates this result that when the reference state is not a Markov state, then the reduced dynamics is non-CP, for at least one U. In addition, this example shows that, even when is not a Markov state, the CP-ness of the reduced dynamics, for some (but not all) U, is possible.