Entanglement classification via integer partitions
Dafa Li

TL;DR
This paper introduces a novel method for classifying entanglement in 4n-qubit systems by reducing the problem to integer partitions based on invariants of eigenvalues and Jordan normal forms, advancing quantum entanglement theory.
Contribution
It establishes invariance properties of eigenvalue multiplicities and Jordan block sizes under SLOCC, enabling a classification approach via integer partitions for 4n-qubit states.
Findings
Invariance of algebraic and geometric multiplicities under SLOCC
Reduction of entanglement classification to integer partitions
Application to 4n-qubit systems
Abstract
In [M. Walter et al., Science 340, 1205, 7 June (2013)], they gave a sufficient condition for genuinely entangled pure states and discussed SLOCC classification via polytopes and the eigenvalues of the single-particle states. In this paper, for qubits, we show the invariance of algebraic multiplicities (AMs) and geometric multiplicities (GMs) of eigenvalues and the invariance of sizes of Jordan blocks (JBs) of the coefficient matrices under SLOCC. We explore properties of spectra, eigenvectors, generalized eigenvectors, standard Jordan normal forms (SJNFs), and Jordan chains of the coefficient matrices. The properties and invariance permit a reduction of SLOCC classification of qubits to integer partitions (in number theory) of the number and the AMs.
| Types | Spectra | |
|---|---|---|
| (0;4) | ||
| (0; 1,3) | ||
| (0;1,1,2) | ||
| (0;2,2) | ||
| (0;1,1,1,1) | ||
| (2;3) | ||
| (2;1,2) | ||
| (2;1,1,1) | ||
| (4;2) | ||
| (4;1,1) | ||
| (6;1) | ||
| (8; ) |
| SJNF | SJNF | |
|---|---|---|
| 00footnotetext: includes the product states
EPR EPR and
EPR EPR .
includes the product state EPR EPR . includes the product states EPR, EPR, EPR, and EPR. includes the product states GHZ. includes the product states W. includes the full separate state . includes the product states EPR and EPR. |
| (0;4) | {(4)} | {(2,2)} |
| {(1,1,2)} | {(1,1,1,1)} | |
| {(3,1)} | ||
| (0; 1,3) | {(1),(3)} | {(1),(1,2)} |
| {(1),(1,1,1)} | ||
| (0;1,1,2) | {(1),(1),(2)} | {(1),(1),(1,1)} |
| (0;2,2) | {(1,1),(1,1)} | {(1,1),(2)} |
| {(2),(2)} | ||
| (0;1,1,1,1) | {(1),(1),(1),(1)} | |
| (2;3) | {(1,1);(3)} | {(1,1);(2,1)} |
| {(1,1);(1,1,1)} | ||
| (2;1,2) | {(1,1);(1),(2)} | {(1,1);(1),(1,1)} |
| (2;1,1,1) | {(1,1);(1),(1),(1)} | |
| (4;2) | {(2,2);(2)} | {(2,2);(1,1)} |
| {(3,1);(2)} | {(3,1);(1,1)} | |
| {(1,1,1,1);(2)} | {(1,1,1,1);(1,1)} | |
| (4;1,1) | {(2,2);(1),(1)} | {(3,1);(1),(1)} |
| {(1,1,1,1);(1),(1)} | ||
| (6;1) | {(1,5);(1)} | {(3,3);(1)} |
| {(2,2,1,1);(1)} | {(1,1,1,1,1,1);(1)} | |
| {(3,1,1,1);(1)} | ||
| (8; ) | {(7,1);} | {(5,3);} |
| {(4,4);} | {(2,2,2,2);} | |
| {(3,3,1,1);} | {(2,2,3,1);} | |
| {(5,1,1,1);} | {(2,2,1,1,1,1);} | |
| {(3,1,1,1,1,1);} | ||
| 00footnotetext: is the empty set.
is the set of sizes of JBs with the zero-eigenvalue.
includes EPR EPR and EPR EPR . includes EPR EPR . includes EPR, EPR, EPR, and EPR. includes GHZ. includes W. includes . includes EPR and EPR. includes EPREPR and EPREPR. includes EPREPR. includes W, GHZ, EPR, and , where GHZ is a 3-qubit GHZ state, W is a 3-qiubit W state, and EPR is a 2-qubit EPR state. |
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsQuantum Information and Cryptography · Molecular spectroscopy and chirality · Quantum Computing Algorithms and Architecture
Entanglement classification via integer partitions
Dafa Li1,2
1Department of Mathematical Sciences, Tsinghua University, Beijing, 100084, China
2Center for Quantum Information Science and Technology, Tsinghua National Laboratory for Information Science and Technology (TNList), Beijing, 100084, China
email address: [email protected]
Abstract
Abstract:
In [M. Walter et al., Science 340, 1205, 7 June (2013)], they gave a sufficient condition for genuinely entangled pure states and discussed SLOCC classification via polytopes and the eigenvalues of the single-particle states. In this paper, for qubits, we show the invariance of algebraic multiplicities (AMs) and geometric multiplicities (GMs) of eigenvalues and the invariance of sizes of Jordan blocks (JBs) of the coefficient matrices under SLOCC. We explore properties of spectra, eigenvectors, generalized eigenvectors, standard Jordan normal forms (SJNFs), and Jordan chains of the coefficient matrices. The properties and invariance permit a reduction of SLOCC classification of qubits to integer partitions (in number theory) of the number and the AMs.
I Introduction
As the subtle properties of entangled states are applied in quantum information and computation, many efforts have contributed to understanding the different ways of entanglement Nielsen . Clearly, local quantum operations cannot change the non-local properties of a state. The entanglement for two and three qubits are well known. However, it is hard to classify multipartite entanglement for four or more qubits. To reach the purpose, SLOCC equivalence of two states of a multipartite system was proposed and formulated Bennett ; Dur . It is known that two states in the same SLOCC equivalence class can do the same tasks of quantum information theory, although with different success probabilities Dur ; Verstraete ; Horodecki .
Dür et al. classified three qubits into six SLOCC classes including the classes GHZ and W, and indicated that there are an infinite number of SLOCC classes for four or more qubits. In the pioneering work Verstraete , Verstraete et al. classified the infinite number of SLOCC classes of four qubits into nine families under determinant one SLOCC by using a generalization of the singular value decomposition. After then, SLOCC classification of four qubits were studied deeply Miyake ; Luque ; LDF07b ; Chterental ; Lamata ; LDFQIC09 ; Borsten ; Viehmann ; Ribeiro ; Buniy ; Sharma12 .
For SLOCC classification of n qubits, the previous articles proposed different SLOCC invariants: for example, the concurrence and 3-tangle Coffman ; local ranks for three qubits Dur ; polynomial invariants Wong ; Miyake ; Luque ; Leifer ; Levay ; LDF07a ; Djokovic ; LDFQIP ; Osterloh05 ; Viehmann ; LDFJPA13 ; Gour ; LDFPRA13 of which the invariant polynomials of degrees 2 for even n qubits LDF07a , 4 for (odd and even) qubits LDF07a ; LDFPRA13 , and 6 for even qubits LDFJPA13 ; the diversity degree and the degeneracy configuration of a symmetric state Bastin ; ranks of coefficient matrices LDFPRL12 ; LDFPRA12 ; FanJPA ; Wang ; LDFPRA15 ; the entanglement polytopes Walter . Recently, spectra and SJNFs of 4 by 4 matrices were used to investigate SLOCC classification of pure states of n qubits LDFQIP18 .
In this paper, we show the invariance of algebraic and geometric multiplicities of eigenvalues and sizes of JBs under SLOCC for qubits. We investigate properties of spectra, eigenvectors, generalized eigenvectors, SJNFs, and Jordan chains of matrices . Via integer partitions, the properties, and the invariance, we classify pure states of qubits, specially four qubits, under SLOCC.
This paper is organized as follows. In Section 2, we show the invariance of algebraic and geometric multiplicities of eigenvalues and sizes of JBs under SLOCC for qubits. In Section 3, via integer partitions, we classify spectra of and pure states of qubits. In Section 4, via integer partitions, we classify SJNFs of and pure states of qubits.
II Invariant AMs, GMs, and sizes of JBs under SLOCC
Let be any pure state of qubits, where are coefficients. It is well known that two -qubit pure states and are SLOCC equivalent if and if there is an invertible local operator such that
[TABLE]
where Dur .
Let be the coefficient matrix of the state of qubits, i.e. entries of the matrix are the coefficients of the state , where , , , and are chosen as row bits while , , , and are chosen as column bits. Clearly, is a by matrix.
It is known that for any two SLOCC equivalent pure states and of qubits, the matrices satisfy the following equation LDFPRL12 LDFPRA12 LDFPRA15 ,
[TABLE]
where and . Note that is the transpose of .
Let
[TABLE]
and
[TABLE]
It is easy to see that and are unitary. We make a conjugation of by the unitary matrix in Eq. (4) as follows. Let
[TABLE]
and
[TABLE]
Let and . From Eq. (2), we obtain
[TABLE]
and then
[TABLE]
Clearly, is not similar to .
Let us consider the matrix
[TABLE]
Via Eq. (9), a calculation derives
[TABLE]
where
[TABLE]
Clearly,
[TABLE]
where
[TABLE]
and
[TABLE]
from Eqs. (A13, A15) in Appendix A.
Note that neither nor is orthogonal except that . Therefore, SLOCC cannot guarantee that and are similar. Anyway, from Eqs. (11, 13) we obtain
[TABLE]
where
[TABLE]
In general, a square complex matrix is similar to a block diagonal matrix
[TABLE]
where
[TABLE]
is a standard Jordan block with the eigenvalue , where is the size of the block. Usually, is written as the direct sum
[TABLE]
of the Jordan blocks , , , and . In this paper, we write the direct sum as
[TABLE]
by omitting “”. We call Eq. (26) the SJNF of the matrix .
In this paper, we define that two SJNFs
[TABLE]
and
[TABLE]
where , are proportional. For example, the SJNFs and are proportional.
Though we cannot guarantee that and are similar, we can next show that their spectra and SJNFs are proportional.
From Eq. (22), we have the following result.
*Lemma 1. *Spectra and SJNFs of and are proportional.
Property 1 in Appendix B means that their spectra are proportional.
We next show that SJNFs of and are proportional. From the linear algebra, for any JB of , has a Jordan chain , , where is the eigenvector of corresponding to the eigenvalue . Here, let be column vectors \left(\begin{array}[]{c}v_{i}^{\prime}\\ v_{i}^{\prime\prime}\end{array}\right), where two blocks and are of the same size. In light of Property 3 in Appendix B, we can construct a chain of : , , where z_{1}=\left(\begin{array}[]{c}\sqrt{h/g}v_{1}^{\prime}\\ v_{1}^{\prime\prime}\end{array}\right), which is the eigenvector of corresponding to the eigenvalue . For the chain , from the linear algebra has the JB .
Let the generalized modal matrices and of and consist entirely of Jordan chains of and , respectively, and let the Jordan chains and be the Jordan chains of and , respectively. Then, the JBs and are the JBs of and , respectively. Therefore, SJNFs of and are proportional.
Thus, Eq. (16) and Lemma 1 lead to the following theorem.
Theorem 1. If the states and of qubits are SLOCC equivalent, then spectra and SJNFs of and are proportional, respectively.
The following is our argument. Eq. (16) implies that and are similar. Therefore, and have the same spectra and SJNFs (ignoring the order of JBs). In light of Lemma 1, and have the proportional spectra and SJNFs.
Restated in the contrapositive the theorem reads: If spectra or SJNFs of two matrices in Eq. (10) associated with two -qubit pure states are not proportional, then the two states are SLOCC inequivalent.
For example, for four qubits, let . In light of Theorem 1, one can test that is inequivalent to the states GHZ, W, Cluster, or the Dicke state under SLOCC.
From Theorem 1, we conclude the following corollary.
Corollary 1. (Invariant AMs and GMs of eigenvalues and sizes of JBs) If two states and of qubits are SLOCC equivalent, then the matrices and have the same AMs and GMs, and the JBs of with the eigenvalue and the JBs of with the eigenvalue have the same sizes.
It is easy to derive the corollary from Theorem 1. The following is our detailed argument. Eq. (16) implies that and are similar. Therefore, and have the same spectra and SJNFs (ignoring the order of JBs).
(a). For the invariance of AMs
In light of Property 1 in Appendix B, if has the characteristic polynomial
[TABLE]
where and when , then has the characteristic polynomial
[TABLE]
Therefore, and have the same AMs.
(b). For the invariance of GMs
From Eqs. (29, 30), if has the spectrum
[TABLE]
where stands for the AM , then has the spectrum
[TABLE]
Let and be the GMs of the zero-eigenvalue of and . In light of Property (2.2) in Appendix B, . In light of Property 7 in Appendix C, the eigenvalues of have the same GM, for example . Similarly, the eigenvalues of have the same GM, for example . In light of Property (2.1) in Appendix B, , . Thus, has the set of GMs , and has the set of GMs . Therefore, and have the same GMs.
(c). For the invariance of sizes of JBs
In light of Property (3) in Appendix B, has a JB with the size of corresponding to the eigenvalue if and only if has a JB with the size of corresponding to the eigenvalue . The conclusion is also true for the zero-eigenvalue. Therefore, the corresponding JBs of and have the same sizes.
III Classification of spectra of matrices and pure states of qubits via integer partitions of
the number
In this paper, in indicates the AM of the eigenvalue . If , then we write as . In this paper, let be the number of integer partitions of . Specially, .
III.1 For qubits via integer partitions
By means of Property 1 in Appendix C, spectra of in Eq. (10) are of the following form:
[TABLE]
where , when , , and is the AM of the eigenvalues . Clearly, all the AMs satisfy the equation
[TABLE]
Because the eigenvalues have the same AM , for the sake of simplicity and without loss of generality, we ignore in Eq. (31) when calculating AMs below.
III.1.1 A set of AMs is invariant under SLOCC and just an integer
partition of the number
Let be a set of AMs of eigenvalues in Eq. (31). Then,
[TABLE]
where is the AM of the zero-eigenvalue while , , , and are the AMs of the different non-zero eigenvalues. From Eq. (32), it is clear that is just an integer partition of the number , i.e.
[TABLE]
In light of Corollary 1, is invariant under SLOCC.
III.1.2 Classification via integer partitions of the number
Spectra are partitioned into different types
Next, we use to label spectra ignoring values of eigenvalues. For example, we write to label the spectrum of a matrix , where is an integer partition of 4.
We define that spectra of matrices in Eq. (10) belong to the same type if the spectra have the same AMs, i.e. the same ignoring values of the eigenvalues. Thus, for spectra of the same type, the sets of AMs of non-zero eigenvalues are the same partition of the number for the same .
For four qubits, we obtain 12 different types of spectra of without considering permutations of qubits in Table I. In Table I, is short for a spectrum.
Pure states are partitioned into different groups
By letting pure states of qubits with the same type of spectra of in Eq. (10) belong to the same group, then each group can be characterized with a set of AMs. Thus, SLOCC classification of qubits is reduced to calculating integer partitions of the number for each , where .
One can know that for each partition of , corresponds to a set of AMs of eigenvalues in Eq. (31). Different partitions of correspond to different types of spectra and different groups of pure states. In light of Corollary 1, two pure states of qubits belonging to different groups are SLOCC inequivalent.
For the fixed , from Eq. (34) there are different partitions of . For all , a calculation yields different partitions. From this, we can conclude the following theorem.
*Theorem 2. *Via partitions of , the matrices in Eq. (10) have different types of spectra and pure states of qubits are classified into different groups under SLOCC.
III.2 Classification of four qubits via integer partitions of
We first calculate partitions of , where . For example, for , 3 () can be partitioned in the three distinct ways: , , and . Then, from the three partitions we obtain three sets of AMs: (2;3), (2;1,2), and (2;1,1,1). For all , there are 12 integer partitions. So, there are 12 types of spectra of and 12 groups of pure states without considering permutations of qubits. Ref. Table I.
III.3 Detect genuinely entangled states of qubits via the
invariant
For four qubits, 3 of 12 groups in the first column of Table III include product states and we label the 3 groups with . Thus, other 9 groups are genuinely entangled, i.e. each state of the 9 groups is genuinely entangled. For example, it is easy to check that is genuinely entangled. Note that when calculating the invariant for product states, we use the coefficient matrix .
For qubits, if the spectrum of the matrix does not belong to the types which include spectra of the matrices in Eq. (10) for product states, then the state is a genuinely entangled state.
IV Classification of SJNFs of matrices and pure states of qubits via integer partitions of AMs
In this paper, we write the direct sum as and the JB as .
IV.1 The relation between the set of sizes of JBs with the
zero-eigenvalue and the integer partition of the AM of the zero-eigenvalue
Let be the number of different SJNFs with the spectrum by Properties 1, 3, and 5 in Appendix C, where . To calculate , we give the following definition.
Definition. If is partitioned into an even number of parts and in the partition if a part is an even number then the number of its occurrences is also even, then the partition is called a tri-even partition of . For example, the partition is a tri-even partition of 8 because 8 is partitioned into four parts and “2” occurs twice.
One can check that in light of Properties 1, 3, and 5 in Appendix C, the set of sizes of JBs with the zero-eigenvalue must be a tri-even partition of for the spectrum . Conversely, the JBs with the zero-eigenvalue, of which the set of sizes is a tri-even partition of for the spectrum , must satisfy Properties 1, 3, and 5 in Appendix C.
For the spectrum , we do not consider the integer partition of which implies that the corresponding SJNF is the zero matrix, then , and then all the coefficients of the corresponding state vanish.
Let be a set of all the tri-even partition of , where , which is the empty set. A simple calculation yields that , , , and .
IV.2 Classification for qubits via integer partitions of AMs
In light of Property 3 in Appendix C, the number of JBs corresponding to the zero-eigenvalue of in Eq. (10) is even. In light of Property 7 in Appendix C, the numbers of JBs corresponding to the non-zero eigenvalues of in Eq. (10) are the same. In light of Property 8 in Appendix C, the corresponding JBs with the non-zero eigenvalues have the same size. Thus, SJNFs of in Eq. (10) with the spectrum in Eq. (31) are of the following form:
[TABLE]
For four qubits, there are 43 different SJNFs of in Table II without considering permutations of qubits. Note that in Table II, are the eigenvalues of , where and when .
Note that Table II does not include the SJNFs: , or . This is because these SJNFs do not satisfy Property 5.1 in Appendix C.
Note that each pair of JBs like in Eq. (35) have the same size. For the sake of simplicity and without loss of generality, we ignore in JBs in Eq. (35) when calculating sizes of JBs below. For example, for the SJNF of , we only consider the sizes of the JBs and ignoring the sizes of the JBs and .
IV.2.1 A collection of sets of sizes of JBs with different
eigenvalues is invariant under SLOCC and just a list of partitions of AMs
In Eq. (35), let be a set of sizes of JBs with the zero-eigenvalue and (resp. ,, ) be a set of sizes of JBs with the eigenvalue (resp. ,,). From Eq. (35), we obtain
[TABLE]
Let
[TABLE]
In light of Corollary 1, is invariant under SLOCC.
Clearly, each SJNF can be described by the . For example, for the SJNF , and . For the SJNF , . We call the label of the SJNF.
From the above discussion, is just a tri-even partition of (here, is the AM of the zero-eigenvalue), and (resp. ) is just a partition of (resp. ,, ) which is the AM of the eigenvalue (resp. ,, ). Ref. Eq. (31).
In this paper, let stand for a set of all the integer partitions of . For example, and , , . Thus, , , ,, . Clearly, is also a list of partitions of AMs (ref. Eq. (31)), and thus each SJNF corresponds to a list of partitions of AMs ignoring values of eigenvalues.
IV.2.2 Classification of SJNFs and pure states via integer
partitions of AMs
SJNFs are partitioned into different types
For example, for the SJNFs and , one can see that one of the two SJNFs can be obtained from the other one by renaming as and as simultaneously. Here, we consider that these two SJNFs possess the same type. Note that for the SJNF , the labels is and for the SJNF , the label . Here, we also consider that ignoring the order of and .
Generally, for two labels
[TABLE]
and
[TABLE]
we define that if and only if
[TABLE]
and
[TABLE]
ignoring the order of and and the order of and .
We can next define that two SJNFs possess the same type if and only if their labels are equal.
For four qubits, we obtain 43 types of SJNFs. Ref. Table II and the second and third columns of Table III.
Pure states are partitioned into different families
By letting states with the same type of SJNFs of in Eq. (10) belong to the same family, then each family can be described with an invariant . Thus, SLOCC classification of qubits is reduced to calculating integer partitions of AMs.
We next explain how to calculate all the integer partitions of AMs. We first calculate partitions of for each , where . Then, for each partition of , we calculate partitions of () and tri-even partitions of . Conversely, let , , ,, . Then, the list of partitions () corresponds to a collection of sets of sizes of JBs of in Eq. (10) for qubits.
One can see that different correspond to different types of SJNFs of in Eq. (10) and different families of pure states. In light of Corollary 1, two states belonging to different families are SLOCC inequivalent.
In Appendix D, a calculation shows that there are different lists of partitions of AMs, where is defined in Eq. (D3). Then, we can conclude the following theorem.
Theorem 3. Via partitions of AMs, i.e. via partitions of () and tri-even partitions of in each partition of , where , in Eq. (10) has different types of SJNFs and then, pure states of qubits are classified into different families.
IV.3 Classification of four qubits
We first calculate partitions of for each , where . For all , there are 12 partitions. Then, for each partition of , we calculate partitions of () and tri-even partitions of . For example, let , for the partition of 4, we calculate partitions of 2, then we obtain three different lists of partitions: , , and .
For four qubits, in total there are 43 different lists of partitions. Thus, we obtain 43 different types of SJNFs and 43 SLOCC inequivalent families of pure states without considering permutations of qubits. Ref. the second and third columns of Table III.
Furthermore, for each type of SJNFs, we can give a state of four qubits for which has the corresponding type.
Note that Table III does not include the following : , , . This is because the corresponding SJNFs do not satisfy Property 5.1 in Appendix C.
IV.4 Detect genuinely entangled states of qubits via the
invariant
For four qubits, 7 of 43 families (ref. the second and third columns of Table III) include product states and we label the 7 families with in Table III. Thus, other 36 families are genuinely entangled, i.e. each state of the 36 families is genuinely entangled. For example, it is easy to check that is genuinely entangled. Note that when calculating the invariant for product states we use the coefficient matrix .
One can see that only four families , , , and of Verstraete et al.’s nine families are genuinely entangled, where is obtained by replacing the last two signs of with signs Chterental .
For qubits, if the SJNF of the matrix does not belong to the types which include SJNFs of matrices in Eq. (10) for product states, then the state is a genuinely entangled state.
V Comparison to Verstraete et al.’s nine families
Via the complex SVD, Verstraete et al. partitioned pure states of four qubits into nine families: , , , , , , , , up to permutations of the qubits under determinant 1 SLOCC Verstraete .
In this paper, we show that if two pure states of qubits are SLOCC equivalent, then the spectra and SJNFs of their matrices in Eq. (10) are proportional. It means the invariance of AMs and GMs and the sizes of JBs. Via integer partitions of , we can partition pure states of qubits into different groups under SLOCC without considering permutations of qubits. Specially, pure states of four qubits are partitioned into 12 types. Via integer partitions of AMs, we can partition pure states of qubits into ( is defined in Eq. (D3)) different families under SLOCC without considering permutations of qubits. Specially, pure states of four qubits into are partitioned into 43 families.
Chterental and Djoković pointed out an error in Verstraete et al.’s nine families by indicating that the family is SLOCC equivalent to the subfamily of the family Chterental . The statement was corrected in LDFPRA15 , where it was deduced that when , the family is SLOCC equivalent to the subfamily of the family while , and are SLOCC inequivalent. In light of Theorem 1, we can also show that and are SLOCC inequivalent because the matrices have SJNFs and for and , respectively.
For the completeness of Verstraete et al.’s nine families, Chterental and Djoković changed the family as the family defined above. A calculation yields that the states , , and , which is the representative state of the family , have the same Jordan block structure though the states and , and the states and are SLOCC inequivalent, respectively. Note that is SLOCC equivalent to LDFPRA12 .
Recall that a family is defined as having Jordan and degenerated Jordan blocks of specific dimension (see the proof of Theorem 2 on page 3 of Verstraete ). So, via the definition for the families, the states and should belong to the same family, and the states and should belong to the same family. Unfortunately, they are partitioned into different families. Clearly, the definition for the families and the representative states are not consistent and pure states of four qubits are partitioned into the nine families incompletely. These errors are avoided in this paper. In this paper, the three states , , and are included in one family.
VI Summary
In this paper, we show that algebraic and geometric multiplicities of eigenvalues and sizes of JBs of in Eq. (10) are invariant under SLOCC. Thus, we have invariants and , where , ( ), is the AM of the zero-eigenvalue, are the AMs of the non-zero eigenvalues, is a set of all the integer partitions of , and is just a partition of . Note that is also a collection of sets of sizes of JBs.
For qubits, for all there are different partitions of . For four qubits, for all there are 12 partitions of . Ref. the first column of Table III. Thus, for qubits, we obtain different types of spectra and then classify pure states of qubits into different groups. Specially, pure states of four (eight) qubits are partitioned into 12 (915) groups.
Furthermore, for each partition of , by calculating partitions of and tri-even partitions of we can obtain different lists of partitions, then different types of SJNFs of in Eq. (10) and different families of pure states of qubits. Specially, for four qubits, we obtain 43 families. Ref. the second and third columns of Table III. We show that 9 of 12 groups and 36 of 43 families are genuinely entangled.
We also show that if spectra or SJNFs of two matrices in Eq. (10) associated with two -qubit pure states are not proportional, then the two states are SLOCC inequivalent.
Acknowledgement—This work was supported by Tsinghua National Laboratory for Information Science and Technology.
Appendix A A calculation of
We calculate , , as follows. First we show that
[TABLE]
where is a complex conjugate of . Eq. (A1) holds from and , where \upsilon=\left(\begin{array}[]{cc}0&1\\ -1&0\end{array}\right). Then, a calculation yields
[TABLE]
Via Eq. (A1),
[TABLE]
Using the definitions for and , a straightforward calculation derives
[TABLE]
Next we reduce Eq. (A4). It is easy to test
[TABLE]
and
[TABLE]
Thus, via Eq. (A8), Eq. (A4) reduces to
[TABLE]
One can check that
[TABLE]
Thus, from Eqs. (A11, A12), we obtain
[TABLE]
A calculation also yields
[TABLE]
Similarly,
[TABLE]
Appendix B Proportional relations
Let
[TABLE]
where is an by matrix and and are non-zero complex numbers.
Property (1). . Let . Then, we obtain . Let be an eigenvalue of . Then, is an eigenvalue of , are eigenvalues of , and are eigenvalues of . Therefore, spectra of and are proportional.
Property (2.1). Let
[TABLE]
where and are vectors, be an eigenvector of corresponding to the eigenvalue . Then,
[TABLE]
Let
[TABLE]
Then, via Eq. (B8) one can check that
[TABLE]
It means that is an eigenvector of corresponding to the eigenvalue .
One can see that if there are linearly independent eigenvectors \left(\begin{array}[]{c}v_{i}^{\prime}\\ v_{i}^{\prime\prime}\end{array}\right), , corresponding to the eigenvalue of , then there are linearly independent eigenvectors \left(\begin{array}[]{c}\sqrt{h/g}v_{i}^{\prime}\\ v_{i}^{\prime\prime}\end{array}\right), , corresponding to the eigenvalue of . Therefore, the eigenvalue of and the eigenvalue of possess the same geometry multiplicity. It implies that and have the same number of JBs corresponding to the eigenvalues and .
Property (2.2). Let be an eigenvector of corresponding to the zero-eigenvalue. Then, one can check that is also an eigenvector of corresponding to the zero-eigenvalue. It means that the zero-eigenvalue of and the zero-eigenvalue of possess the same eigenspace and of course the same geometry multiplicity. Thus, and have the same number of JBs corresponding to the zero-eigenvalue.
Property (3). has a JB with the size of corresponding to the eigenvalue if and only if has a JB with the size of corresponding to the eigenvalue . The property is also true when .
Suppose that has a JB with the size of corresponding to the eigenvalue ( may be zero). Then, there exists a Jordan chain with the size of corresponding to the eigenvalue Richard . Let the Jordan chain be
[TABLE]
where and are vectors, is the eigenvector, and satisfy
[TABLE]
From the Jordan chain, we construct the following chain:
[TABLE]
One can test that is an eigenvector of corresponding to the eigenvalue . A calculation yields that
[TABLE]
[TABLE]
and
[TABLE]
From Eqs. (B12, B32, B38, B39), we can show that
[TABLE]
Thus, we obtain a Jordan chain , , corresponding to the eigenvalue of . It means that the two Jordan chains have the same size. Note that the Jordan chain , , corresponds to the JB of size corresponding to the eigenvalue of . Conversely, it is also true.
Appendix C Properties of the matrix
Let
[TABLE]
where is an by matrix. We calculate the characteristic polynomial of below.
[TABLE]
Eq. (C2) leads to the following property 1.
Property 1.
1.1. is an eigenvalue of if and only if is an eigenvalue of and , respectively. Thus, the non-zero eigenvalues of are , .
1.2. The AM of the zero-eigenvalue of is even.
Property 2. If in Eq. (B7) is an eigenvector of corresponding to the zero-eigenvalue, then V_{1}=\left(\begin{array}[]{c}v^{\prime}\\ 0\end{array}\right) (if ) and V_{2}=\left(\begin{array}[]{c}0\\ v^{\prime\prime}\end{array}\right) (if ) are also eigenvectors of corresponding to the zero-eigenvalue. Clearly, is a linear combination of and , i.e. .
Proof. From that , we obtain
[TABLE]
It is easy to verify that V_{1}=\left(\begin{array}[]{c}v^{\prime}\\ 0\end{array}\right) (if ) and V_{2}=\left(\begin{array}[]{c}0\\ v^{\prime\prime}\end{array}\right) (if ) are also eigenvectors of corresponding to the zero-eigenvalue.
Property 3. The GM of the zero-eigenvalue of is , where stands for “rank”. Thus, there are JBs corresponding to the zero-eigenvalue of .
Proof. From the linear algebra, it is easy to see that Property 3 holds. We want to prove it differently next. From Richard , we know that the generalized eigenvector of rank is just an eigenvector. For , let be the number of linear independent generalized eigenvectors of rank corresponding to the zero-eigenvalue. Then, from Richard
[TABLE]
It is easy to see that .
Property 4. A basis of the zero-eigenspace of can be obtained via the bases of the zero-eigenspaces of and as follows. Let , , , be all the linearly independent eigenvectors of corresponding to the zero-eigenvalue and , , , be all the linearly independent eigenvectors of corresponding to the zero-eigenvalue. Then,
[TABLE]
is a basis of the zero-eigenspace of .
Proof. Let in Eq. (B7) be an eigenvector of corresponding to the zero-eigenvalue. Then, by Eqs. (C3, C4), is an eigenvector of corresponding to the zero-eigenvalue if and is an eigenvector of corresponding to the zero-eigenvalue if . Conversely, if (resp. ) is an eigenvector of (resp. ) corresponding to the zero-eigenvalue, then \left(\begin{array}[]{c}v^{\prime}\\ 0\end{array}\right) (resp. \left(\begin{array}[]{c}0\\ v^{\prime\prime}\end{array}\right)) is an eigenvector of corresponding to the zero-eigenvalue. From Eqs. (C3, C4), we know that and have linearly independent eigenvectors corresponding to the zero-eigenvalue, respectively. Thus, Property 4 holds and we have Property 3 again.
Property 5.1. For , let be the number of linear independent generalized eigenvectors of rank corresponding to the zero-eigenvalue Richard . Then, , where , must be even.
Proof. From Richard ,
[TABLE]
and
[TABLE]
where . Then,
[TABLE]
Let us compute next.
[TABLE]
where .
It is easy to check that . Similarly, the number is even. Therefore, is even. Specially, is even.
Property 5.2. The number of the occurrences of JBs with the same odd size corresponding to the zero-eigenvalue of may be even or odd.
Proof. For the JB corresponding to the eigenvector , there is a Jordan chain , , , corresponding to the zero-eigenvalue, where is the generalized eigenvector of rank of . Clearly, is the generalized eigenvector of rank and is the one of rank , where . Thus, the chain adds 1 to and 1 to , respectively, . That is, the chain adds 2 to the number , . One can know that any number of occurrences of JBs with the same odd size corresponding to the zero-eigenvalue will not change the parity of . Therefore, Property 5.2 holds.
Property 5.3. The number of the occurrences of the JBs with the same even size corresponding to the zero-eigenvalue must be even.
Proof. For the JB with corresponding to the eigenvector , there is a Jordan chain , , , corresponding to the zero-eigenvalue, where is the generalized eigenvector of rank of . Thus, is the generalized eigenvector of rank while is the one of rank , where . Thus, the chain adds 1 to and 1 to respectively, .
Clearly, is the generalized eigenvector of rank . Thus, it adds 1 to . But the chain does not include the generalized eigenvector of rank . Thus, it adds 0 to . It means that the chain will change the parity of .
Accordingly, for the occurrences of the JB with , the corresponding Jordan chains include generalized eigenvectors of the same rank but the chains do not have any generalized eigenvector of rank . Thus, in light of Property 5.2, the number will be an odd number. It does not satisfy Property 5.1.
For the occurrences of the JB with , the corresponding Jordan chains include generalized eigenvectors of the same rank but the chains do not have any generalized eigenvector of rank . Thus, in light of Property 5.2, the number will be an even number.
One can see that is even permits that the size of a JB with the zero-eigenvalue is odd or even.
For example, a calculation shows that for four qubits, has the SJNFs , , , for the states , , , , respectively. In detail, occurs twice, occurs twice, twice, and for four times in the above SJNFs. See Table II. For these SJNFs, is even.
One can know that does not have SJNFs , or because for these SJNFs is odd. Note that , , and occur once in the above different SJNFs.
Property 6.
Let in Eq. (B7) be an eigenvector of corresponding to the non-zero eigenvalue . Then, and .
Proof. From the equation , we obtain
[TABLE]
Then from Eqs. (C25, C26), it is easy to show that and . In other words, the vectors of the forms \left(\begin{array}[]{c}v^{\prime}\\ 0\end{array}\right) or \left(\begin{array}[]{c}0\\ v^{\prime\prime}\end{array}\right) are not eigenvectors of corresponding to non-zero eigenvalues.
Property 7. The GMs of the non-zero eigenvalues of both are . Thus, there are JBs corresponding to the non-zero eigenvalues of , respectively.
Proof. Let (resp. ) be the number of linear independent generalized eigenvectors of rank corresponding to the non-zero eigenvalue (resp. ). One can know that (resp. ) is just the GMs of the non-zero eigenvalues (resp. ) of . Then, from Richard
[TABLE]
[TABLE]
To calculate the ranks of the matrices \left(\begin{array}[]{cc}-\lambda I_{n}&m\\ m^{t}&-\lambda I_{n}\end{array}\right) and \left(\begin{array}[]{cc}\lambda I_{n}&m\\ m^{t}&\lambda I_{n}\end{array}\right), we do the following operations:
[TABLE]
and
[TABLE]
From the linear algebra, since \left(\begin{array}[]{cc}I_{n}&0\\ \frac{1}{\lambda}m^{t}&I_{n}\end{array}\right) is full rank, via Eq. (C40) we obtain
[TABLE]
From the linear algebra, since \left(\begin{array}[]{cc}-I_{n}&0\\ \frac{1}{\lambda}m^{t}&-I_{n}\end{array}\right) is full rank, via Eq. (C48) we obtain
[TABLE]
From Eqs. (C29, C54), . Clearly, is a characteristic matrix of in . From Eqs. (C32, C60), . Therefore, and then Property 7 holds.
By Property 1.1, when is an eigenvalue of , then is an eigenvalue of . It is well known that roots of the equation are eigenvalues of . Thus, and then . When is not an eigenvalue of , i.e. is not an eigenvalue of , then , i.e. . Thus, .
Property 8. The Jordan chain with the non-zero eigenvalue corresponding to the eigenvector \left(\begin{array}[]{c}v_{1}^{\prime}\\ v_{1}^{\prime\prime}\end{array}\right) and the Jordan chain with the non-zero eigenvalue corresponding to the eigenvector \left(\begin{array}[]{c}-v_{1}^{\prime}\\ v_{1}^{\prime\prime}\end{array}\right) have the same size. Thus, their corresponding JBs have the same size.
Proof. Let
[TABLE]
where and are vectors, be a Jordan chain with the non-zero eigenvalue corresponding to the eigenvector v_{1}=\left(\begin{array}[]{c}v_{1}^{\prime}\\ v_{1}^{\prime\prime}\end{array}\right). By Property 6, and . Then, by the definition of Jordan chain Richard ,
[TABLE]
and
[TABLE]
Let
[TABLE]
It is easy to check that
[TABLE]
and
[TABLE]
Here, is an eigenvector of corresponding to . Let be the size of the Jordan chain with the non-zero eigenvalue corresponding to the eigenvector . Clearly, . Conversely, similarly, we can show that . Thus, .
Appendix D The number of different lists of partitions of AMs
We define a product of sets and as and and we define that is an unordered list of partitions. Thus, . By the definition, , , . Note that .
From Eq. (35), let
[TABLE]
From the above discussion, we consider that is an unordered list of partitions. Note that some in a set of AMs from Eq. (31) may occur twice or more. For example, has the spectrum and the set of the AM is .
First, let us compute how many different lists of partitions there are from the product set . We consider distributing indistinguishable balls into distinguishable boxes. Let \rho(l,j)=\left(\begin{array}[]{c}j+P(l)-1\\ j\end{array}\right). Thus, there are distributing ways without exclusion DeGroot . Via the probability model, has different lists of partitions. Specially, has () different lists of partitions.
It is easy to check that has different lists of partitions. When , , and are distinct from each other, has different lists of partitions.
Let us compute how many different lists of partitions there are from the product set in Eq. (D1) for all . For the sake of clarity, we rewrite in Eq. (D1) as follows:
[TABLE]
where , , , , , and are different from each other. From Eq. (D2), for all we obtain
[TABLE]
different lists of partitions, where , which is a partition of and the second sum is evaluated over all the partitions of .
To compute , from we should remove the partition , which means that the SJNF of the in Eq. (10) is the zero matrix and then in Eq. (10) is the zero matrix. Therefore, in total we obtain different lists of partitions of AMs in .
The reference list from the paper itself. Each links out to its DOI / PubMed record.
- 1(1) Nielsen, M.A., Chuang, I.L.: Quantum Computation and Quantum Information (Cambridge Univ. Press, Cambridge, 2000).
- 2(2) Bennett, C. H., Brassard, G., Crèpeau, C., Jozsa, R., Peres, A., Wootters, W. K.: Teleporting an unknown quantum state via dual classical and Einstein-Podolsky-Rosen channels. Phys. Rev. Lett., 70, 1895 (1993)
- 3(3) Dür, W., Vidal, G., Cirac, J.I.: Three qubits can be entangled in two inequivalent ways. Phys. Rev. A 62 , 062314 (2000)
- 4(4) Verstraete, F., Dehaene, J., De Moor, B., Verschelde, H.: Four qubits can be entangled in nine different ways. Phys. Rev. A 65, 052112 (2002)
- 5(5) Horodecki, R., Horodecki, P., Horodecki, M., Horodecki, K.: Quantum entanglement. Rev. Mod. Phys. 81, 865 (2009)
- 6(6) Miyake, A.: Classification of multipartite entangled states by multidimensional determinants. Phys. Rev. A 67, 012108 (2003)
- 7(7) Luque, J.-G., Thibon, J.-Y.: Polynomial invariants of four qubits. Phys. Rev. A 67, 042303 (2003)
- 8(8) Li, D., Li, X., Huang, H., Li, X.: SLOCC invariant and semi-invariants for SLOCC classification of four-qubits. Phys. Rev. A 76 , 052311 (2007).
