Abstract
Being the annihilation and creation operators on the space of square integrable Bernoulli functionals, quantum Bernoulli noises (QBN) satisfy the canonical anti-commutation relation (CAR) in equal time. Let be the Hilbert space of an open quantum system interacting with QBN (the environment). Then just describes the coupled quantum system. In this paper, we introduce and investigate an interacting stochastic Schrödinger equation (SSE) in the framework , which might play a role in describing the evolution of the open quantum system interacting with QBN (the environment). We first prove some technical propositions about operators in . In particular, we obtain the spectral decomposition of the tensor operator , where means the identity operator on and N is the number operator in , and give a representation of in terms of operators , , where and are the annihilation and creation operators on , respectively. Based on these technical propositions as well as Mora and Rebolledo’s results on a general SSE, we show that under some mild conditions, our interacting SSE has a unique solution admitting some regularity properties. Some other results are also proven.
MSC:
81S25; 60H15; 60H40
1. Introduction
In quantum theory, quantum systems are divided into two categories: closed quantum systems and open quantum systems. A closed quantum system is isolated and has no interaction with the outside world. However, not all quantum systems are isolated. In practice, most quantum systems inevitably interact with their environments which influence them in a non-negligible way. Such quantum systems are known as open quantum systems [1,2,3].
Usually, an open quantum system interacts with another huge quantum system, namely, its environment is a huge quantum system. In that case, by joining them together, one gets a bigger quantum system, which is referred to as the coupled quantum system. The coupled quantum system can be regarded as a closed one, hence is subject to Hamiltonian dynamics.
Let be the Hilbert space describing an open quantum system and the Hilbert space describing its environment. Then, the coupled quantum system corresponds to the tensor space and its Hamiltonian is given by
where are are the identity operators on and respectively, stands for the Hamiltonian of the open quantum system, means the free Hamiltonian of the environment, and is the Hamiltonian describing the interaction between the open quantum system and its environment [1,3,4].
Quantum Bernoulli noises (QBN, for short) refer to the annihilation and creation operators acting on the space of square integrable Bernoulli functionals, which satisfy the canonical anti-commutation relation (CAR) in equal time [5,6]. Recent years have seen many applications of QBN in developing a discrete-time stochastic calculus in infinite dimensions. Indeed, in 2008, Privault [7] used the annihilation operators to define the gradients for Bernoulli functionals. Two years later, Nourdin et al. [8] investigated a normal approximation of Rademacher functionals (a special case of Bernoulli functionals) with the help of the annihilation operators. Recently, it has been shown that QBN can play an active role in the study of quantum Markov semigroups and quantum walks [9,10,11,12].
As is known, is a symmetric Hilbert space of infinite dimension and has an orthonormal basis indexed by the finite power set of the nonnegative integer set . And more importantly, as the annihilation and creation operators on , QBN satisfies the CAR in equal time. Thus, from the perspective of mathematical physics, together with QBN is quite suitable for describing the environment of an open quantum system [13].
It is of great significance to develop effective tools dealing with the dynamics of open quantum systems. In the past few years, remarkable attention has been paid to the approach to open quantum systems provided by stochastic Schrödinger equations (SSE, for short), which are a class of stochastic differential equations dominated by Hamiltonian operators on complex Hilbert spaces. Barchielli, et al. [14,15] first investigated some linear SSEs with bounded operators as the coefficients and established the existence and uniqueness of strong solutions to such equations. Later, Holevo [16] obtained an existence and uniqueness result about weak topology solution for a general linear SSE with unbounded operators as the coefficients. In 2007, Mora and Rebolledo [17] further studied a more general class of SSEs and obtained the corresponding results. Now SSEs are widely used in different fields such as measurement theory, quantum optics, quantum chaos, solid states, etc, wherever quantum irreversibility matters [18,19]. They do not only serve as a fruitful theoretical concept but also as a practical method for computations in the form of quantum trajectories (see, e.g., [4,17,20,21] and references therein).
Let be the Hilbert space of an open quantum system interacting with QBN (the environment). Then, the tensor space just represents the coupled quantum system. In this paper, we introduce in the framework an interacting SSE of the following type
with
where H and B are self-adjoint operators in , N is the number operator in , g is a suitable function defined on the nonnegative integer set , and is a sequence of independent real-valued Wiener processes on a filtered complete probability space .
The physical meaning of Equation (1) lies in the following observations. As usual, the self-adjoint operator H can be viewed as the Hamiltonian of the open quantum system interacting with QBN (the environment), while the number operator N in represents the free Hamiltonian of QBN (the environment). Since is an operator in , the tensor product operator just reflects the interaction between the open quantum system and QBN (the environment), while the parameter means the coupling strength. The equation itself, then, describes a type of time evolution of the open quantum system interacting with QBN (the environment).
We mention that ref. [20] actually considers in the framework (the space of square integrable Bernoulli functionals as mentioned above) an SSE of the form
where H is a self-adjoint operator in and N is the number operator in . Recently, in the same framework, ref. [21] investigates a SSE of exclusion type, which reads
where G is a suitable operator in , w is a nonnegative function defined on , and , j, are independent real-valued Wiener processes. Clearly, as SSEs in the framework , both Equations (3) and (4) do not belong to the category of interacting SSEs. Thus, from a perspective of mathematical physics, our interacting SSE (1) essentially differs from those SSEs considered in refs. [20,21]. Additionally, as far as we know, interacting SSEs like ours have not been considered yet in the literature. Finally, we mention that there are a lot of researches on stochastic equations of fractional order in the setting of Banach spaces (see, e.g., [22,23] and references therein).
Let us now briefly describe our main work in this paper as follows. We first prove in Section 2 several technical propositions about operators in . In particular, we obtain the spectral decomposition of the tensor operator (see Proposition 3), where denotes the identity operator on and N is the number operator in , and give a representation of in terms of operators , (see Proposition 4). And then, in Section 3, by using these technical propositions as well as Mora and Rebolledo’s results on a general SSE, we show that, under some mild conditions, our interacting SSE Equation (1) has a unique solution admitting some regularity properties (see Theorem 4 and Theorem 6). Some other results are also proven therein.
Throughout, , and stand for the set of nonnegative integers, the set of real numbers and the set of complex numbers, respectively. If z is a complex number, then and denote its real and imaginary parts, respectively. For a mapping A, we denote by its domain. If A is a densely defined operator in a Hilbert space, then means its adjoint operator.
2. Technical Preparations
In this section, we make some technical preparations, which will play an important role in explaining the precise meaning of Equation (1) and in proving our main theorems on Equation (1). We refer to Appendix A.2 for main notions, facts and notation about the space of square-integrable Bernoulli functionals and quantum Bernoulli noises (QBN).
Recall that is the Hilbert space of an open quantum system interacting with QBN (the environment), while is the space where QBN lives. Thus just acts as the Hilbert space of the coupled system. We fix an ONB for . Then the system forms an ONB for , where is the canonical ONB for . We use and to mean the inner product and norm in respectively, while we write and for the inner product and norm in respectively.
Let S and T be densely-defined symmetric operators in and , respectively. Then, according to the general theory of operators in Hilbert spaces (see, e.g., [24,25,26]), their tensor product is defined as the closure of the densely-defined symmetric (hence, closable) operator in given by
and , where the symbol means the linear subspace spanned by a vector set . It is known that remains symmetric, hence a closed symmetric operator in . Further, if S and T are bounded symmetric operators, then coincides with the usual tensor product of S and T as bounded operators.
Lemma 1.
[26] Let S and T be self-adjoint operators in and , respectively. Then, is a self-adjoint operator in . In particular, both and are self-adjoint operators in , where and are the identity operators on and , respectively.
For a function , the operator in is naturally defined as
where consists of vectors such that the series converges in norm. In what follows, for , we denote by the space of all complex-valued functions g on satisfying that
and write for the norm in .
Proposition 1.
For all , is a densely-defined symmetric operator in . Moreover, if , then is a self-adjoint bounded operator on with .
Proof.
Let be given. Then, for all and all nonnegative integers m and n with , we have
which, together with , implies that the series converges in norm, hence . Therefore, , which implies that is a dense in , namely, is a densely-defined operator in .
It is easy to show that is symmetric. Now suppose that . Then, in view of the fact that for all , we find
which implies that the operator series converges in operator norm. Thus, and is a bounded operator on with . Finally, using the symmetric property of , we know that is self-adjoint. □
Proposition 2.
Let B be a self-adjoint operator in . Then, for each , is a densely-defined closed symmetric operator in .
Proof.
B is a densely-defined symmetric operator in since it is self-adjoint. On the other hand, using Proposition 1, we know that is also a densely-defined symmetric operator in . Thus, by definition, is a densely-defined closed symmetric operator in . □
Recall that the number operator N in is a self-adjoint one. Thus, by Lemma 1, is a self-adjoint operator in . The next proposition actually gives its spectral decomposition.
Proposition 3.
It holds true that , where means the Dirac operator on associated with the basis vector .
Proof.
Write . Then, by the general theory of spectral integrals [27], is the self-adjoint operator in given by
with
Next, we prove that . To this end, we consider the restriction of to
which is a dense subspace of . Then, by the definition of , we know that is the closure of , equivalently .
Let and be given. A straightforward calculation gives
which implies that . Additionally, by the definitions of and N, we have
Thus and , , namely , which together with implies that . Thus, , which together with yields . Since both and are self-adjoint operators in , we finally know that . □
The next proposition further shows that the operator has a representation in terms of the identity operator on as well as the product operators , , on .
Proposition 4.
Let be a vector in . Then if and only if the vector series converges in norm. In that case, one has
Proof.
The “if” part. It follows from the norm convergence of the vector series that there exist a finite constant such that
On the other hand, by using the continuity of operator , we have
Thus,
which, together with as well as the Fatou’s theorem, gives
which together with Proposition 3 implies that .
The “only if” part. Let be given. Then, by Proposition 3, we know
On the other hand, we have
and for all ,
Thus, by the well known dominated convergence theorem, we find
Now, for m, with , by using properties of operator , we can get
Thus
which implies that the series converges in norm.
Finally, we verify Equality (8). To do so, we take . Then, by Proposition 3 as well as the dominated convergence theorem, we have
Therefore Equality (8) holds. □
Remark 1.
According to Proposition 4, the operator can actually be represented as
This shows the close links between and the family of bounded operators on .
Recall that is a self-adjoint operator in . Hence, for any , makes sense as a self-adjoint operator in . In fact, using Proposition 3, can be directly defined as follows.
where
According to Lemma 1, makes sense as a self-adjoint operator in for each real number . Using the same method as in the proof of Proposition 3, we can prove the following useful result.
Proposition 5.
Let be a real number. Then it holds true that .
3. Solutions to Interacting SSE
In this section, we consider the existence and uniqueness of a regular solution to Equation (1) in the framework of , where, as shown above, is the Hilbert space of an open quantum system interacting with QBN (the environment), and is the space of square integrable Bernoulli functionals, which describes QBN (the environment). We will freely use notions and known results about a general SSE, which are collected in Appendix A.1.
Recall that is a sequence of independent real-valued Wiener processes on a filtered complete probability space . In what follows, we use to mean the expectation with respect to , and by “a.s.” we mean “almost surely with respect to ”.
We note that H and B appearing in Equation (1) are self-adjoint operators in . Hence, by Lemma 1, is a self-adjoint operator in and, by Proposition 2, is a densely-defined closed symmetric operator in for each . Additionally, we always assume that the parameter in Equation (1) is given.
Theorem 1.
Suppose that and . Then, Equation (1) satisfies the fundamental hypothesis as indicated in Definition A1 of the Appendix A.
Proof.
Let and for . Then, by the assumptions, . Clearly, , , which means that
Now let and write . Then, by the symmetric property of and , we have
On the other hand, for each , is a projection operator on since is a projection operator on (see Appendix A.2). This, together with Proposition 4, gives
Thus
This means that Equation (1) satisfies the fundamental hypothesis as indicated in Definition A1 of the Appendix A.1. □
Recall that denotes the collection of all subsets of . In what follows, for , we set , which is a finite-dimensional subspace of . we denote by the projection operator from onto .
Theorem 2.
Let be a nonnegative real number. Then, for all , makes sense, and moreover, on .
Proof.
For brevity, we write . Let . Clearly, , which, together with the fact that is the range of , implies that makes sense. Now suppose that . Then, it follows from the definitions of and as well as the equality that
By using the equality , , , we can similarly get
Thus . This completes the proof. □
Theorem 3.
Let be a real number and be a given function. Suppose that
and there exist two finite constants a, such that
where . Then is a reference operator of Equation (1).
Proof.
As before, we write , and for . Obviously, . Additionally, by the assumptions as well as Proposition 3, we have and . Thus .
Recall that the system is an ONB for . For , , by a simple calculation, we find
Thus .
Also for , , by using , we have
For all and , by direct computations we have
and
which implies that
and
Thus
Finally, for all , using Theorem 2 yields
Therefore, is a reference operator of Equation (1). □
Theorem 4.
Let be a real number and a given function. Suppose further that and there exist two finite constants such that
where . Then, for each -measurable -value random variable ξ with a.s. and , there exists a unique -strong solution to Equation (1) such that . And moreover, the solution satisfies that
and
Proof.
Using Lemma A1 in the Appendix A and Theorem 3, we can come straightforward to the conclusion. □
As is seen, Theorem 4 offers conditions for Equation (1) to have a unique regular solution. From a viewpoint of application, however, it seems those conditions are not so easy to check. Next, we would like to find out easily-checking conditions.
For a function , we write , which is naturally defined as an operator in . Moreover, if , then is a bounded operator on with . Cf the definition of the operator in (6) and Proposition 1.
Theorem 5.
Let H and B be self-adjoint bounded operators on , a real number and . Then, it holds true that
where .
Proof.
For , we set . Then, by the definition of , we know that is a core of , namely . Additionally, it can be verified that and
Now, let us show some useful claims as follows:
Claim A: and on . The proof of this claim is quite straightforward, hence is omitted here.
Claim B: For all , and it holds on that
where is the function on given by when and when .
In fact, for all and , by the inclusion relations and as well as Theorems 4.7 and 4.8 of [11], we have
and
which implies that and
Thus, Claim B is true.
Claim C: For all , it holds true that
Indeed, for all , by Claims A and B, we have and
which together with implies that
which together with gives
which, together with , (both in operator norm), as well as , implies that
Finally, we verify inequality (12). Let be given. Then, by the self-adjoint property of as well as the fact that is a core of , there exists a sequence such that and , which together with Claim C implies that
which, together with and , yields
This completes the proof. □
Combining Theorem 4 with Theorem 5, we come to the next theorem, which provides easily-checking conditions for Equation (1) to have a regular solution.
Theorem 6.
Let H, B be self-adjoint bounded operators on , a real number and . Then, for each -measurable -value random variable ξ with a.s. and , there exists a unique -strong solution to Equation (1) such that . And moreover, the solution satisfies that
and
where .
Usually, an open quantum system is quite small compared to its environment. Even in many cases, the open quantum system of interest can be described by a finite-dimensional Hilbert space. Thus, from a perspective of mathematical physics, the conditions provided in Theorem 6 are reasonable and mild.
Example 1.
Let and be bounded sequences of real numbers. Consider the function , and the operators , defined respectively by
where is the ONB for and the Dirac operator associated with j. Clearly, both and are self-adjoint bounded operators on , and moreover . Now by letting , and , one can immediately see that H, B and g satisfy the conditions required in Theorem 6. This validates Theorem 6.
4. Concluding Remarks
SSEs are widely used in many research fields such as measurement theory, quantum optics, quantum chaos, solid states, etc, wherever quantum irreversibility matters. As is seen, in this paper, we introduce and investigate a SSE in terms of quantum Bernoulli noises (QBN), which might serve as a model describing the evolution of an open quantum system interacting with QBN. The main features of our SSE lie in that it contains an interacting term that reflects the interactions between the system and the environment described by QBN.
As can be seen, a SSE is usually considered in the setting of a Hilbert space. This is because a quantum system is usually described by a Hilbert space. From a mathematical point of view, however, one may also consider SSEs in the setting of Banach spaces, and even SSEs of fractal order.
Author Contributions
Investigation, L.Z., C.W. and J.C. All authors have read and agreed to the published version of the manuscript.
Funding
This work is supported by National Natural Science Foundation of China (Grant No. 12261080 and Grant No. 12161050).
Data Availability Statement
All data generated or analyzed during this study are included in this published article.
Conflicts of Interest
The authors declare no conflict of interest.
Appendix A
Appendix A.1. Notions and Known Results about a General SSE
In the first part of the Appendix, we briefly collect some necessary notions and known results about a general linear stochastic Schrödinger equation (SSE). For details, we refer to [17] and references therein.
Let be a complex separable Hilbert space with an inner product . By convention, we denote by the norm defined by . Consider the following linear SSE in :
where is an independent sequence of real valued Wiener processes on a filtered complete probability space , and are linear operators in . The solution to Equation (A1), if it exists, will be a -valued adapted process on .
Definition A1.
[17] Equation (A1) is said to satisfy the fundamental hypothesis if it holds that for all and
Definition A2.
[17,20] A self-adjoint positive operator C on is called a reference operator of Equation (A1) if the following conditions are satisfied:
- (1)
- ;
- (2)
- There exists an orthonormal basis of such that and for all ;
- (3)
- There exists a sequence of positive integers and finite constants , such thatholds for all and , where and is the projection operator from onto ;
- (4)
- for all .
For a linear operator A on , one can naturally define a mapping in the following manner
As usual, means the composition of A and , which is defined as for all .
Definition A3.
- (i)
- for all , , almost surely, and
- (ii)
- -a.s., for all ,
Lemma A1.
[17,20] Let C be a reference operator of Equation (A1). Suppose that ξ is an -random variable taking value in such that a.s. and . Then there exists a unique C-strong solution to Equation (A1) such that . And moreover, the solution satisfies that
and
where a and b are the same as indicated in Definition A2.
Appendix A.2. Square Integrable Bernoulli Functionals and QBN
In the second part of the Appendix, we recall some fundamental notions and facts about square integrable Bernoulli functionals and quantum Bernoulli noises (QBN). For detailed formulation, we refer the reader to [6].
Let be a given probability measure space and is a sequence of independent random variables on satisfying that , the -field generated by , and
where , and . By [6], Z can be viewed as a discrete-time Bernoulli noise, while complex-valued random variables on can be viewed as functionals of Z.
In the following, we set and , the -field generated by , for . Additionally, we denote by the finite power set of , namely
where denotes the cardinality of as a set.
Let be the space of square integrable complex-valued random variables on , namely
which is usually known as the space of square integrable Bernoulli functionals. We denote by the usual inner product of and set , which is a norm. It is known that Z has the chaotic representation property. Thus, has an orthonormal basis (ONB) of the form , where and
In the sequel, we call the canonical ONB for .
For each nonnegative integer , there exists a bounded linear operator on such that
where and the indicator of as a subset of . Denoting by the adjoint operator of , one has
where . The operators and are referred to as the annihilation operator and creation operator at the site k, respectively.
Definition A4.
[6] The family of annihilation and creation operators is called quantum Bernoulli noises (QBN, for short).
The next lemma shows that QBNs satisfy the canonical anti-commutation relations (CAR) in equal time.
Lemma A2.
[6] For all j, , it holds true that , and
where means the identity operator on .
For any , the product operator is a projection operator, and moreover it satisfies that
which means that all with are eigenvectors of the product operator .
The number operator in is the densely-defined linear operator N in given by the following relations
where denotes the domain of N, which is defined as
It is known [20] that N is a self-adjoint unbounded operator with the property that , where .
For a real number , makes sense as a self-adjoint operator in and has a representation of the following form
where the domain is given by
See [20] for details.
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