The Necessary and Sufficient Conditions of Separability for Bipartite Pure States in Infinite Dimensional Hilbert Spaces
Su Hu, Zongwen Yu

TL;DR
This paper establishes precise mathematical conditions for when bipartite pure states in infinite-dimensional Hilbert spaces are separable, linking quantum state properties to operator theory in functional analysis.
Contribution
It provides the necessary and sufficient conditions for separability of bipartite pure states in infinite dimensions, connecting quantum information to bounded linear operator theory.
Findings
Matrix of amplitudes is a compact operator.
Separable states correspond to rank-1 bounded linear operators.
Separable states characterized by one-dimensional image of the operator.
Abstract
In this paper, we present the necessary and sufficient conditions of separability for bipartite pure states in infinite dimensional Hilbert spaces. Let be the matrix of the amplitudes of , we prove is a compact operator. We also prove is separable if and only if is a bounded linear operator with rank 1, that is the image of is a one dimensional Hilbert space. So we have related the separability for bipartite pure states in infinite dimensional Hilbert spaces to an important class of bounded linear operators in Functional analysis which has many interesting properties.
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Taxonomy
TopicsMathematical Inequalities and Applications · Matrix Theory and Algorithms · Optical and Acousto-Optic Technologies
The Necessary and Sufficient Conditions of Separability for Bipartite Pure States in Infinite Dimensional Hilbert Spaces
Su Hu
Zongwen Yu
Department of Mathematical Sciences, Tsinghua University, Beijing, 100084 China
Abstract
In this letter, we present the necessary and sufficient conditions of separability for bipartite pure states in infinite dimensional Hilbert spaces. Let be the matrix of the amplitudes of , we prove is a compact operator. We also prove is separable if and only if is a bounded linear operator with rank 1, that is the image of is a one dimensional Hilbert space. So we have related the separability for bipartite pure states in infinite dimensional Hilbert spaces to an important class of bounded linear operators in Functional analysis which has many interesting properties.
pacs:
02.30.-f, 03.65.Db, 03.67.Mn
A pure state is separable if and only if it can be written as a tensor product of states of different subsystems. It is also known that a state of a bipartite system is separable if and only if it has Schmidt number 1 NC2000 . Peres presented a necessary and sufficient condition for the occurrence of Schmidt decomposition for a tripartite pure state Peres1995 and showed that the positivity of the partial transpose of a density matrix is a necessary condition for separability Peres1996 . Thapliyal showed that a multipartite pure state is Schmidt decomposable if and only if the density matrices obtained by tracing out any party are separable Thap1999 . In DafaLi2006 , Dafa Li obtained a necessary and sufficient conditions of separability for multipartite pure state in finite dimensional Hilbert spaces. In YuHu2007 , Yu and Hu gave other necessary and sufficient conditions, and simplified the proof of the main result in DafaLi2006 . They also obtained an algorithm to determine the separability of any multipartite pure state efficiently and quickly. But all of the previous works only aimed to determine the multipartite pure state in finite dimensional Hilbert spaces. In this letter, we gave the necessary and sufficient conditions of separability for bipartite pure state in infinite dimensional Hilbert spaces and relate this problem to an important class of bounded linear operators in Functional analysis.
Let be two infinite dimensional Hilbert spaces. We define their tensor product as in Douglas179 . Let denote the algebraic tensor product of and consider as a linear space over . It is easy to see defines an inner product of . We should note that this space is not complete with this inner product. Pass to completion, we get a Hilbert space. As in Functional analysis, we call it the tensor product of and and denote it by . We can prove Douglas179 , if and are orthonormal basis for and respectively, then is an orthonormal basis for .
Let us now consider two physical systems and represented by the Hilbert spaces and respectively. The joint system is represented by the Hilbert space . Let be a pure state of a composite system . We also say is separable if and only if it can be written as a tensor product of states of different subsystems. In this letter, we suppose and have countable number of dimensions, this is equivalent to say that and are separable topological spaces Conway . Let () be the orthonormal basis for Hilbert space (). From above, we know is an orthonormal basis for Hilbert space . Since , we can give the Fourier expansion of under this basis. Then we can write , where and . Let be the infinite (but countable) dimensional matrix of the amplitudes of . We will prove is a compact linear operator in Functional analysis and give the criterion for the separability.
Definition 1. Conway * denote the set of all infinite sequences such that . For in define the inner product by . It is easy to show is a Hilbert space with this inner product.*
For , denote .
Theorem 1**.**
* is separable if and only if there exist two unit vectors such that .*
Proof.
By definition, is separable if and only if we can write where and . As above is the Fourier expansion of under the orthonormal basis in . From the definition of tensor product for infinite dimensional Hilbert spaces. We have
[TABLE]
We set x=\left(\begin{array}[]{c}x_{1}\\ x_{2}\\ \vdots\\ x_{n}\\ \vdots\\ \end{array}\right),y=\left(\begin{array}[]{c}y_{1}\\ y_{2}\\ \vdots\\ y_{n}\\ \vdots\\ \end{array}\right). From and , we see and as above M=\left(a_{ij}\right)=\left(\begin{array}[]{cccc}a_{11}&\cdots&a_{1n}&\cdots\\ \vdots&\ddots&\vdots&\ddots\\ a_{n1}&\cdots&a_{nn}&\cdots\\ \vdots&\ddots&\vdots&\ddots\end{array}\right). From (1) and the multiplication law for infinite (countable) dimensional matrices, we see .
Suppose that . Because be the matrix of the amplitudes of , we know . From and the multiplication for infinite (countable) dimensional matrices, we see . From , we have . We denote (because ). Under the suppose , we also have . So we can suppose and construct two states . We have
[TABLE]
We see is a separable pure state. ∎
Lemma 1**.**
If is the matrix of the amplitudes of a pure state , then if and only if the determinants of all the submatrices of are zero.
Proof.
, where , . As above we see . m=\left(\begin{array}[]{cc}a_{il}&a_{ik}\\ a_{jl}&a_{jk}\end{array}\right) is any submatrix of . It is easy to check . Therefore if is separable, the determinates of all the submatrices are zero.
Suppose (we can suppose ). If are linearly independent for some , then the submatrix is reversible, so . This is a contradiction. So for each we have a constant , such that . Then
[TABLE]
Set . Since is the matrix of the amplitudes of , it is obviously . From (2) we have , as desired. ∎
Theorem 2**.**
* is a separable pure state if and only if the determinate of all the submatrices of are zero.*
Proof.
This is immediately from theorem 1 and lemma 1. ∎
Remark Theorem 2 generalize the corresponding result in DafaLi2006 to infinite dimensional Hilbert spaces.
Definition 2. Conway An operator on Hilbert space has finite rank if (the image of ) is finite dimensional.
Theorem 3**.**
* is a pure state in . is the matrix of the amplitudes of , then is a compact linear operator on the Hilbert space .*
Proof.
- Denote M=\left(\begin{array}[]{c}M_{1}^{T}\\ M_{2}^{T}\\ \vdots\\ M_{j}^{T}\\ \vdots\end{array}\right). we have
[TABLE]
So . We get is a well defined bounded linear operator on with the norm .
- To prove is a compact operator, according to Conway we should only to show there is a sequence of operators of finite rank such that . Because is the matrix of the amplitudes of , we have . We set
[TABLE]
obviously has finite rank.
Denote , from the absolute convergence of , we know
[TABLE]
We have
[TABLE]
From , we see .
denote the closed unit ball in . , We have
[TABLE]
Then . From (4) we get
[TABLE]
From (5) and (6), . From the definition of the norm of the operators on , we have . From (3), we get . So we see is a compact operator on . ∎
Remark: We know all the compact operators form a closed two sided ideal in operator algebra and they have many interesting properties. For example Conway
(1) “If is a compact linear operator on and , then the image of is closed and ”, this is a famous theorem named “The Fredholm Alternative” in Functional analysis. Someone call this is “the linear algebra of infinite dimensional spaces”.
(2) “ is compact if and only if is compact.” This is a theorem of Schaduer.
Lemma 2**.**
Conway * If is a positive compact operator, then there is a unique positive compact operator such that . is called the positive square root of .*
Lemma 3**.**
Conway * (Polar decomposition of compact operators.) Let be a compact operator on Hilbert space and let be the unique positive square root of . Then (a) for all in . (b) There is a unique operator such that when , when and .*
Theorem 4**.**
* is a pure state in . is the matrix of the amplitudes of , then has polar decomposition.*
Proof.
Form theorem 3 and Lemma 3. ∎
We will see if is separable, is not only a compact linear operator, but also an operator with rank 1. We know from Analysis the operators which have finite rank must be a compact operator Conway .
Lemma 4**.**
If is the matrix of the amplitudes of a pure state , then , where if and only if is a bounded linear operator with rank 1.
Proof.
, denote y=\left(\begin{array}[]{c}y_{1}\\ y_{2}\\ \vdots\\ y_{n}\\ \vdots\end{array}\right),z=\left(\begin{array}[]{c}z_{1}\\ z_{2}\\ \vdots\\ z_{n}\\ \vdots\end{array}\right).
We have
[TABLE]
so . But , we get .
Suppose . Denote ( we can suppose ). Suppose the vector is the vector with all [math]s except for a 1 in the th coordinate. We have and . Then , but , so there exists such that . We have
[TABLE]
Denote . is the matrix of the amplitudes of , we see that . Finally, from (7) we get , as desired. ∎
Theorem 5**.**
* is a separable pure state if and only if is a bounded linear operator with rank 1.*
Proof.
From theorem 1 and lemma 4. ∎
Corollary 1**.**
* is a separable pure state in . is the matrix of the amplitudes of . We have following results
- is also closed;
- ;
- ;
- is an open mapping;
- is an open mapping.*
Proof.
According to theorem 5, , so is a closed subspace in . All the above results follow from the closed range theorem Conway . ∎
Denote to be the algebra of bounded linear operators on and to be the ideal of compact operators on . We also define two subsets of , . .
From theorem 3 and 5, we get , and relate the separability for bipartite pure states to an important class of bounded linear operators in Functional analysis.
So, given a pure state in , is the matrix of the amplitudes of , if is not a rank 1 operator on , we can conclude that is not separable. But the rank 1 operators in an infinite dimensional Hilbert space are rare, so the separable pure states in are also rare.
The reference list from the paper itself. Each links out to its DOI / PubMed record.
- 1(1) M.A.Nilsen and I.L. Chuang, Quantum Computation and Quantum Information (Cambridge University Press, Canbridge, England, 2000).
- 2(2) A. Peres, Phys. Lett. A 202, 16 (1995).
- 3(3) A. Peres, Phys. Rev. Lett. 77, 1413 (1996).
- 4(4) A.V. Thapliyal, Phys. Rev. A 59, 3336 (1999).
- 5(5) Dafa Li et al., quant-ph/0604147.
- 6(6) Zongwen Yu and Su Hu, ar Xiv:0704.0965 v 1 [quant-ph].
- 7(7) R.G. Douglas, Banach Algebra Techniques in operator theory (2nd ed. GTM/179, Spring-Verlag, New York, 1998, p.73).
- 8(8) J.B. Conway, A Course in Functional Analysis (GTM/96, Spring-Verlag, New York, 1985).
