The construction of multipartite unextendible product bases (UPBs) is a basic problem in quantum information. We respectively construct two families of 2 × 2 × 4 and 2 × 2 × 2 × 4 UPBs of size eight by using the existing four-qubit and five-qubit UPBs. As an application, we construct novel families of multipartite positive-partial-transpose entangled states, as well as their entanglement properties in terms of the geometric measure of entanglement.
Taiyu Zhang, Lin Chen. Constructing unextendible product bases from multiqubit ones[J]. Communications in Theoretical Physics, 2023, 75(1): 015104. DOI: 10.1088/1572-9494/ac9f0f
1. Introduction
The unextendible product bases (UPBs) have been applied to various quantum-information processing in the past decades. First, UPBs help construct positive-partial-transpose (PPT) entangled states [1–5], the nonlocality without entanglement and Bell inequalities [6–15], genuine entanglement [16], and Schmidt number [17]. Multipartite UPBs have been related to the tile structures and local entanglement-assisted distinguishability [18]. Further, multiqubit UPBs have received extensive attention [19, 20] due to the role of the multiqubit system in quantum computing and experiments [21]. For example, the three and four-qubit UPBs have been fully studied in terms of programs [22, 23]. Some seven-qubit UPBs of size ten have been constructed [24]. Further, the exclusion of n-qubit UPBs of size 2n − 5 [25] has solved an open problem in [23]. Nevertheless, the understanding of multipartite UPBs is still far from a complete picture. In particular, it is an intriguing problem to find the relation between multiqubit UPBs and multipartite UPBs in high dimensions, because the latter are usually harder to construct. This is the first motivation of this paper.
On the other hand, it is known that PPT entangled states are not distillable. That is, they cannot be asymptotically converted into Bell states under local operations and classical communications, while Bell states are necessary for most quantum-information tasks such as teleportation and computing. In contrast, some PPT entangled states can be used to a create distillable key [26]. the PPT entangled states are related to the entanglement distillation problem [27, 28], the detection of entanglement [29, 30], as well as multipartite genuinely entangled states and entanglement-breaking subspaces [31, 32]. The study of multipartite PPT states has also been devoted to the separability of completely symmetric states [33], the separability of symmetric states and vandermonde decomposition [34]. Hence, it is an important problem to construct novel PPT entangled states from UPBs, which may evidently motivate the study of the aforementioned topics. This is the second motivation of this paper.
In this paper, we construct a family of 2 × 2 × 4 UPBs of size eight by using the merge of some systems of existing four-qubit UPBs of size eight in theorem 1, as well as a family of 2 × 2 × 2 × 4 UPBs of size eight by using the existing five-qubit UPBs of size eight in theorem 2. In particular, we shall show that the resulting set by any one of the four merge AD, BC, BD, and CD in equation (2) is not a 2 × 2 × 4 UPB, and the resulting set by any one of the two merge AB and AC in (2) is a 2 × 2 × 4 UPB of size eight. Further, the resulting set by any one of the four merge AB, CD, CE and DE in (21) is not a 2 × 2 × 2 × 4 UPB, and the resulting set by any one of the six merge AC, AD, AE, BC, BD and BE in (21) is a 2 × 2 × 2 × 4 UPB of size eight. As an application, we construct two families of multipartite PPT entangled states, and evaluate their entanglement in terms of geometric measurement of entanglement. In particular, we construct the upper bound of one family of tripartite PPT entangled states in terms of its parameters. Our work shows the latest progress on the construction of multipartite UPBs and PPT entangled states by means of UPBs.
The rest of this paper is organized as follows. In section 2 we introduce the preliminary knowledge used in this paper. In sections 3 and 4, we respectively construct a family of 2 × 2 × 4 and 2 × 2 × 2 × 4 UPBs. Using them, we establish two families of PPT entangled states and explore the properties of their entanglement in section 5. Finally, we conclude in section 6.
2. Preliminaries
In this section, we introduce the preliminary knowledge used in this paper. We work with an n-partite quantum system A1, A2, ⋯, An in the Hilbert space ${ \mathcal H }={{ \mathcal H }}_{1}\otimes \cdots \otimes {{ \mathcal H }}_{n}\,={{\mathbb{C}}}^{{d}_{1}}\otimes ...\otimes {{\mathbb{C}}}^{{d}_{n}}$. An n-partite product vector in ${ \mathcal H }$ is denoted as $| \psi \rangle \,=| {a}_{1}\rangle \otimes \cdots \otimes | {a}_{n}\rangle := | {a}_{1},\ldots ,{a}_{n}\rangle \quad {\rm{with}}\quad | {a}_{i}\rangle \in {{ \mathcal H }}_{i}$. Although the normalization factor is necessary for the interpretation of quantum states, we do not always normalize product vectors for the sake of mathematical convenience. Next, a set of n-partite orthonormal product vectors {∣ai,1〉,…,∣ai,n〉} is an unextendible product basis (UPB) in ${ \mathcal H }$, if there is no n-partite product vector orthogonal to all product vectors in the set at the same time. In particular, the n-qubit UPB exists when di = 2 for any i. For simplicity when n = 5, we refer to A1, A2, A3, A4 and A5 as A, B, C, D and E, respectively. We have ${{\mathbb{C}}}^{2}\otimes {{\mathbb{C}}}^{2}\otimes $${{\mathbb{C}}}^{2}\otimes {{\mathbb{C}}}^{2}\otimes {{\mathbb{C}}}^{2}$$:= {{ \mathcal H }}_{{\rm{A}}}\otimes {{ \mathcal H }}_{{\rm{B}}}\otimes {{ \mathcal H }}_{{\rm{C}}}\otimes {{ \mathcal H }}_{{\rm{D}}}\,\otimes {{ \mathcal H }}_{{\rm{E}}}$, and ${{ \mathcal H }}_{\mathrm{AB}}:= {{ \mathcal H }}_{{\rm{A}}}\otimes {{ \mathcal H }}_{{\rm{B}}}$, and so on. We take the vectors $| 0\rangle := \left[\begin{array}{l}1\\ 0\end{array}\right]$ and $| 1\rangle := \left[\begin{array}{l}0\\ 1\end{array}\right]$, so that the set {∣0〉, ∣1〉} is a qubit orthonormal basis in ${{\mathbb{C}}}^{2}$. We shall denote a general qubit orthonormal basis by $\{| x\rangle ,| x^{\prime} \rangle \}$, with x = a, b, c and so on. It is straightforward to verify that, a UPB remains a UPB if we switch the systems or perform any local unitary transformation [24]. We say that two UPBs are equivalent if one UPB can be obtained from the other by the switch or local unitary transformation.
3. Tripartite UPBS from four-qubit UPBS
In this section, we construct a tripartite UPB of size eight, by using an existing four-qubit UPB ${ \mathcal S }$ of size eight in the space ${{ \mathcal H }}_{{\rm{A}}}\otimes {{ \mathcal H }}_{{\rm{B}}}\otimes {{ \mathcal H }}_{{\rm{C}}}\otimes {{ \mathcal H }}_{{\rm{D}}}$. The UPB ${ \mathcal S }$ was constructed in [23]. For convenience, we describe the matrix of ${ \mathcal S }$ in (1). Note that the first row of (1) means the product state ∣0, 0, 0, 0〉 in ${ \mathcal S }$, and one can similarly figure out all elements in ${ \mathcal S }$. The matrix representation of a UPB has been used to characterize the four-qubit orthogonal product bases [35, 36], and four-qubit UPBs [37]
$\begin{eqnarray}\left[\begin{array}{llll}0 & 0 & 0 & 0\\ 1 & a & a^{\prime} & a\\ a & a^{\prime} & 1 & a^{\prime} \\ a^{\prime} & 1 & a & b\\ 0 & a & a^{\prime} & 1\\ 1 & a & a^{\prime} & a^{\prime} \\ a & 1 & a & a\\ a^{\prime} & a^{\prime} & 1 & b^{\prime} \end{array}\right],\end{eqnarray}$
$\begin{eqnarray}\left[\begin{array}{llll}0 & 0 & 0 & 0\\ 1 & a & a^{\prime} & a\\ 0 & a & a^{\prime} & 1\\ 1 & a & a^{\prime} & a^{\prime} \\ a & a^{\prime} & 1 & a^{\prime} \\ a^{\prime} & 1 & a & b\\ a & 1 & a & a\\ a^{\prime} & a^{\prime} & 1 & b^{\prime} \end{array}\right].\end{eqnarray}$
By switching rows 3 and 5, and rows 4 and 6 in (1), we obtain (2). We merge two of the systems A, B, C and D, so that (2) corresponds to a set of 2 × 2 × 4 orthonormal product vectors. For example, the merge of AB in (2) implies the set $\{| 0,0\rangle | 0\rangle | 0\rangle ,| 1,a\rangle | a^{\prime} \rangle | a\rangle ,\ldots ,| a^{\prime} ,a^{\prime} \rangle | 1\rangle | b\rangle \}$. One can verify that there are six ways for the merge, namely AB, AC, AD, BC, BD, and CD. We present the following observation.
The resulting set by any one of the four merge AD, BC, BD, and CD in (2) is not a $2\times 2\times 4$ UPB. The resulting set by any one of the two merge AB and AC in (2) is a $2\times 2\times 4$ UPB of size eight.
We prove the claim by six cases (I)–(VI). They respectively work for the system merge CD, BD, BC, AD, AC and AB in (2). Using the merge, we shall refer to the set of orthonormal product vectors corresponding to (2) as ${{ \mathcal S }}_{1},\ldots ,{{ \mathcal S }}_{6}$, respectively, in the six cases (I)–(VI). Further, if any two systems of ${\rm{A}},{\rm{B}},{\rm{C}},{\rm{D}}$ merge then evidently they are in ${{\mathbb{C}}}^{4}$. For example, the merge of CD makes the set of four-qubit orthonormal vectors corresponding to (2) become $2\times 2\times 4$ orthonormal vectors in ${{\mathbb{C}}}^{2}\otimes {{\mathbb{C}}}^{2}\otimes {{\mathbb{C}}}^{4}={{ \mathcal H }}_{{\rm{A}}}\otimes {{ \mathcal H }}_{{\rm{B}}}\otimes {{ \mathcal H }}_{\mathrm{CD}}$.
I
(I) When we merge the system CD, one can verify that the set ${{ \mathcal S }}_{1}$ in (2) is orthogonal to $| a,a^{\prime} ,{x}_{1}{\rangle }_{{\rm{A}}:{\rm{B}}:\mathrm{CD}}\in {{ \mathcal H }}_{{\rm{A}}}\,\otimes {{ \mathcal H }}_{{\rm{B}}}\otimes {{ \mathcal H }}_{\mathrm{CD}}$, where $| {x}_{1}\rangle $ is orthogonal to $| 0,0\rangle $, $| 1,a^{\prime} \rangle $ and $| a,a\rangle $. So ${{ \mathcal S }}_{1}$ is not a UPB in ${{ \mathcal H }}_{{\rm{A}}}\otimes {{ \mathcal H }}_{{\rm{B}}}\otimes {{ \mathcal H }}_{\mathrm{CD}}$.
II
(II) When we merge the system BD, one can verify that the set ${{ \mathcal S }}_{2}$ in (2) is orthogonal to $| a^{\prime} ,a,{x}_{2}{\rangle }_{{\rm{A}}:{\rm{C}}:\mathrm{BD}}\in {{ \mathcal H }}_{{\rm{A}}}\,\otimes {{ \mathcal H }}_{{\rm{C}}}\otimes {{ \mathcal H }}_{\mathrm{BD}}$, where $| {x}_{2}\rangle $ is orthogonal to $| 0,0\rangle $, $| 1,b\rangle $ and $| a^{\prime} ,b^{\prime} \rangle $. So ${{ \mathcal S }}_{2}$ is not a UPB in ${{ \mathcal H }}_{{\rm{A}}}\otimes {{ \mathcal H }}_{{\rm{C}}}\otimes {{ \mathcal H }}_{\mathrm{BD}}$.
III
(III) When we merge the system BC, one can verify that the set ${{ \mathcal S }}_{3}$ in (2) is orthogonal to $| 1,a,{x}_{3}{\rangle }_{{\rm{A}}:{\rm{D}}:\mathrm{BC}}\in {{ \mathcal H }}_{{\rm{A}}}\,\otimes {{ \mathcal H }}_{{\rm{D}}}\otimes {{ \mathcal H }}_{\mathrm{BC}}$, where $| {x}_{3}\rangle $ is orthogonal to $| a,a^{\prime} \rangle $, $| 1,a\rangle $ and $| a^{\prime} ,1\rangle $. So ${{ \mathcal S }}_{3}$ is not a UPB in ${{ \mathcal H }}_{{\rm{A}}}\otimes {{ \mathcal H }}_{{\rm{D}}}\otimes {{ \mathcal H }}_{\mathrm{BC}}$.
IV
(IV) When we merge the system AD, suppose the set ${{ \mathcal S }}_{4}$ in (2) is orthogonal to $| 0,a,{x}_{4}{\rangle }_{{\rm{B}}:{\rm{C}}:\mathrm{AD}}\in {{ \mathcal H }}_{{\rm{B}}}\otimes {{ \mathcal H }}_{{\rm{C}}}\otimes {{ \mathcal H }}_{\mathrm{AD}}$, one can verify that $| {x}_{4}\rangle $ is orthogonal to $| 0,0\rangle $, $| a,a^{\prime} \rangle $ and $| a^{\prime} ,b^{\prime} \rangle $. So ${{ \mathcal S }}_{4}$ is not a UPB in ${{ \mathcal H }}_{{\rm{B}}}\otimes {{ \mathcal H }}_{{\rm{C}}}\otimes {{ \mathcal H }}_{\mathrm{AD}}$.
V
(V) Before carrying out the proof, we label $a,a^{\prime} $ in column three and four of (2) as ${a}_{3},{a}_{3}^{{\prime} }$ and ${a}_{4},{a}_{4}^{{\prime} }$, respectively. To prove the assertion, it suffices to find some $2\times 2\times 4$ UPBs in (2) by merging system AC. So we construct the following expressions related to (2).
We merge the system A,C, and suppose that the set ${{ \mathcal S }}_{5}=\{| {a}_{j},{b}_{j},{c}_{j}\rangle ,j=1,\ldots ,8\}$ in (2) is orthogonal to
$\begin{eqnarray}| u,v,{x}_{5}{\rangle }_{{\rm{B}}:{\rm{D}}:{\rm{AC}}}\in {{ \mathcal H }}_{{\rm{B}}}\otimes {{ \mathcal H }}_{{\rm{D}}}\otimes {{ \mathcal H }}_{{\rm{AC}}}.\end{eqnarray}$
Hence $| u,v\rangle $ is orthogonal to some of the eight two-qubit product vectors $| {a}_{1},{b}_{1}\rangle $,…, $| {a}_{8},{b}_{8}\rangle $. By checking the expression of (2), one can show that each column of (2) has at most three identical elements. In particular, the set $\{| {a}_{j}\rangle \}$ has at most three identical elements, and the set $\{| {b}_{j}\rangle \}$ has at most two identical elements. As a result, $| u,v\rangle $ is orthogonal to at most five of the eight product vectors $| {a}_{1},{b}_{1}\rangle $,…, $| {a}_{8},{b}_{8}\rangle $. We discuss three cases (V.a), (V.b) and (V.c).
(V.a) Up to the permutation of subscripts in ${{ \mathcal S }}_{5}$, we may assume that $| u,v\rangle $ is orthogonal to exactly five product vectors $| {a}_{1},{b}_{1}\rangle $, $| {a}_{2},{b}_{2}\rangle $,…, $| {a}_{5},{b}_{5}\rangle $. That is, $| u\rangle $ is orthogonal to m of the five vectors $| {a}_{1}\rangle $, $| {a}_{2}\rangle $, ..., $| {a}_{5}\rangle $, e.g. $| {a}_{1}\rangle $, ..., $| {a}_{m}\rangle $ and $| v\rangle $ is orthogonal to $| {b}_{m+1}\rangle $, ..., $| {b}_{5}\rangle $. Using the property of set ${{ \mathcal S }}_{5}$ in (2), one can show that m = 3, that is, $| u\rangle $ is orthogonal to three identical vectors $| {a}_{1}\rangle ,| {a}_{2}\rangle $ and $| {a}_{3}\rangle \in {{ \mathcal H }}_{{\rm{B}}}$, $| v\rangle $ is orthogonal to two identical vectors $| {b}_{3}\rangle $ and $| {b}_{4}\rangle \in {{ \mathcal H }}_{{\rm{D}}}$. However the product vectors $| {a}_{1},{b}_{1}\rangle $, ..., $| {a}_{4},{b}_{4}\rangle $ do not occupy five rows of the matrix of ${ \mathcal S }$. So $| u,v\rangle $ is not orthogonal to five product vectors in $| {a}_{j},{b}_{j}\rangle $, which means this case is not possible.
(V.b) Up to the permutation of subscripts in ${{ \mathcal S }}_{5}$, we may assume that $| u,v\rangle $ is orthogonal to exactly four product vectors $| {a}_{1},{b}_{1}\rangle $, $| {a}_{2},{b}_{2}\rangle $, $| {a}_{3},{b}_{3}\rangle $, and $| {a}_{4},{b}_{4}\rangle $. So $| {x}_{5}\rangle $ is orthogonal to four of the eight product vectors $| {c}_{1}\rangle $, ... , $| {c}_{8}\rangle $. By observing them, one can assume that $| {c}_{1}\rangle =| {c}_{2}\rangle $. Let the four product vectors be $| {c}_{{j}_{1}}\rangle $, $| {c}_{{j}_{2}}\rangle $, $| {c}_{{j}_{3}}\rangle $, $| {c}_{{j}_{4}}\rangle $, respectively, where ${j}_{1},{j}_{2},{j}_{3},{j}_{4}$ are distinct integers in [2, 8]. So there are 35 distinct matrices, which are formed by choosing the arrays $({j}_{1},{j}_{2},{j}_{3},{j}_{4})$ as $(2,3,4,5),(2,3,4,6)$, $\ldots ,(5,6,7,8)$, respectively. Because $| {x}_{5}\rangle $ is orthogonal to $| {c}_{{j}_{1}}\rangle $, $| {c}_{{j}_{2}}\rangle $, $| {c}_{{j}_{3}}\rangle $, $| {c}_{{j}_{4}}\rangle $, we obtain that the matrices have determinant zero. According to our calculation, there are exactly three matrices of determinant zero, whose arrays are (2, 3, 5, 7), (2, 4, 5, 8), (3, 5, 6, 8), respectively. However by checking ${{ \mathcal S }}_{5}$ in (2), one can see that for each array, there is no $| u,v,{x}_{5}\rangle $ orthogonal to ${{ \mathcal S }}_{5}$. It is a contradiction with (14).
(V.c) Up to the permutation of subscripts in ${{ \mathcal S }}_{5}$, we may assume that $| u,v\rangle $ is orthogonal to at most three product vectors $| {a}_{1},{b}_{1}\rangle $, $| {a}_{2},{b}_{2}\rangle $, $| {a}_{3},{b}_{3}\rangle $. So $| {x}_{5}\rangle $ is orthogonal to five of the eight product vectors $| {c}_{1}\rangle $, ... , $| {c}_{8}\rangle $. By observing them, one can assume that $| {c}_{1}\rangle =| {c}_{2}\rangle $. Let the five product vectors be $| {c}_{{j}_{1}}\rangle $, $| {c}_{{j}_{2}}\rangle $, $| {c}_{{j}_{3}}\rangle $, $| {c}_{{j}_{4}}\rangle $, $| {c}_{{j}_{5}}\rangle $, respectively, where ${j}_{1},{j}_{2},{j}_{3},{j}_{4},{j}_{5}$ are distinct integers in [2, 8]. Because they are orthogonal to $| {x}_{5}\rangle $, they are linearly dependent. Hence, any four of $| {c}_{{j}_{1}}\rangle $, $| {c}_{{j}_{2}}\rangle $, $| {c}_{{j}_{3}}\rangle $, $| {c}_{{j}_{4}}\rangle $, $| {c}_{{j}_{5}}\rangle $ form a 4 × 4 matrix of determinant zero. So at least five of the 35 matrices in (V.b) have determinant zero. It is a contradiction with the calculation in (V.b), namely there are only three matrices of determinant zero. Hence this case is not possible.
To conclude, we have excluded the three cases (V.a), (V.b), and (V.c). So the set ${{ \mathcal S }}_{5}=\{| {a}_{j},{b}_{j},{c}_{j}\rangle ,j=1,...,8\}$ in (2) is a $2\times 2\times 4$ UPB in ${{ \mathcal H }}_{{\rm{B}}}\otimes {{ \mathcal H }}_{{\rm{D}}}\otimes {{ \mathcal H }}_{\mathrm{AC}}$.
(VI) We convert the set ${{ \mathcal S }}_{6}$ in (2) in the space ${{ \mathcal H }}_{{\rm{C}}}\otimes {{ \mathcal H }}_{{\rm{D}}}\otimes {{ \mathcal H }}_{\mathrm{AB}}$ into the UPB ${{ \mathcal S }}_{5}$ in case (V), by switching column 2 and 3 and a series of row permutations on the matrix (2). It implies that the matrix ${ \mathcal S }$ is also a UPB $\in {{ \mathcal H }}_{{\rm{C}}}\otimes {{ \mathcal H }}_{{\rm{D}}}\otimes {{ \mathcal H }}_{\mathrm{AB}}$. We list the switch and permutations on (2) as follows.
In columns 2 and 3 of this matrix, we switch $({a}_{3}^{{\prime} },{a}_{3})$ and $({a}_{2},{a}_{2}^{{\prime} })$, in column 4 we rename $({a}_{4},{a}_{4}^{{\prime} },b,b^{\prime} )$ as $({a}_{4}^{{\prime} },{a}_{4},b^{\prime} ,b)$. So we obtain
where the final matrix (20) is exactly the matrix ${{ \mathcal S }}_{5}$ in (2). So the set ${{ \mathcal S }}_{6}$ in (2) is a $2\times 2\times 4$ UPB in ${{ \mathcal H }}_{{\rm{C}}}\otimes {{ \mathcal H }}_{{\rm{D}}}\otimes {{ \mathcal H }}_{\mathrm{AB}}$.
In conclusion, we have proven the assertion in terms of the six cases (I)–(VI). This completes the proof. □
4. Four-partite UPBS from five-qubit UPBS
In this section, we construct a four-partite UPB of size eight, by using an existing five-qubit UPB ${ \mathcal T }$ of size eight in the space ${{ \mathcal H }}_{{\rm{A}}}\otimes {{ \mathcal H }}_{{\rm{B}}}\otimes {{ \mathcal H }}_{{\rm{C}}}\otimes {{ \mathcal H }}_{{\rm{D}}}\otimes {{ \mathcal H }}_{{\rm{E}}}$. The UPB ${ \mathcal T }$ was constructed in [23]. For convenience, we describe the matrix of ${ \mathcal T }$ in (21). Note that the first row of (21) means the product state $| 0,0,0,0,0\rangle \in { \mathcal T }$, and one can similarly figure out all elements in ${ \mathcal T }$.
We merge two of the systems A, B, C, D and E, so that (21) corresponds to a set of 2 × 2 × 2 × 4 orthogonal product vectors. For example, the merge of AB in (21) implies the set $\{| 0,0\rangle | 0\rangle | 0\rangle | 0\rangle ,\ldots ,| {a}_{1}^{{\prime} },1\rangle | {c}_{3}^{{\prime} }\rangle | {c}_{4}^{{\prime} }\rangle | {b}_{5}^{{\prime} }\rangle \}$. One can verify that there are ten ways for the merge, namely AB, AC, AD, AE, BC, BD, BE, CD, CE and DE. We present the following observation.
Suppose (21) is real. The resulting set by any one of the four merge AB, CD, CE and DE in (21) is not a $2\times 2\times 2\times 4$ UPB. The resulting set by any one of the six merge AC, AD, AE, BC, BD and BE in (21) is a $2\times 2\times 2\times 4$ UPB of size eight.
We prove the claim by ten cases (I)–(X). They respectively work for the system merge AB, CD, CE, DE, AC, AD, AE, BC, BD and BE in (21). Using the merge, we shall refer to the set of orthonormal product vectors corresponding to (21) as ${{ \mathcal T }}_{1},\ldots ,{{ \mathcal T }}_{10}$, respectively, in the ten cases (I)–(X). Further, if any two systems of A, B, C, D, E merge then evidently they are in ${{\mathbb{C}}}^{4}$ . For example, the merge of DE makes the set of four-qubit orthonormal vectors corresponding to (21) become $2\times 2\times 4$ orthonormal vectors in ${{\mathbb{C}}}^{2}\otimes {{\mathbb{C}}}^{2}\otimes {{\mathbb{C}}}^{2}\otimes {{\mathbb{C}}}^{4}={{ \mathcal H }}_{{\rm{A}}}\otimes {{ \mathcal H }}_{{\rm{B}}}\otimes {{ \mathcal H }}_{{\rm{C}}}\otimes {{ \mathcal H }}_{{DE}}$.
I
(I) When we merge the system AB, one can verify that the set ${{ \mathcal T }}_{1}$ in (21) is orthogonal to $| 1,{a}_{4}^{{\prime} },{a}_{5},{y}_{4}{\rangle }_{{\rm{C}}:{\rm{D}}:{\rm{E}}:\mathrm{AB}}\,\in {{ \mathcal H }}_{{\rm{C}}}\otimes {{ \mathcal H }}_{{\rm{D}}}\otimes {{ \mathcal H }}_{{\rm{E}}}\otimes {{ \mathcal H }}_{\mathrm{AB}},$ where $| {y}_{4}\rangle $ is orthogonal to $| {a}_{1},{a}_{2}\rangle $, $| 1,{a}_{2}^{{\prime} }\rangle $ and $| {a}_{1}^{{\prime} },1\rangle $. So ${{ \mathcal T }}_{1}$ is not a UPB in ${{ \mathcal H }}_{{\rm{C}}}\otimes {{ \mathcal H }}_{{\rm{D}}}\otimes {{ \mathcal H }}_{{\rm{E}}}\otimes {{ \mathcal H }}_{\mathrm{AB}}$.
II
(II) When we merge the system CD, one can verify that the set ${{ \mathcal T }}_{2}$ in (21) is orthogonal to $| {a}_{1}^{{\prime} },{a}_{2},{c}_{5},{y}_{1}{\rangle }_{{\rm{A}}:{\rm{B}}:{\rm{E}}:\mathrm{CD}}\,\in {{ \mathcal H }}_{{\rm{A}}}\otimes {{ \mathcal H }}_{{\rm{B}}}\otimes {{ \mathcal H }}_{{\rm{E}}}\otimes {{ \mathcal H }}_{\mathrm{CD}}$, where $| {y}_{1}\rangle $ is orthogonal to $| 0,0\rangle $, $| 1,{a}_{4}\rangle $ and $| {c}_{3}^{{\prime} },{c}_{4}^{{\prime} }\rangle $. So ${{ \mathcal T }}_{2}$ is not a UPB in ${{ \mathcal H }}_{{\rm{A}}}\otimes {{ \mathcal H }}_{{\rm{B}}}\otimes {{ \mathcal H }}_{{\rm{E}}}\otimes {{ \mathcal H }}_{\mathrm{CD}}$.
III
(III) When we merge the system CE, one can verify that the set ${{ \mathcal T }}_{3}$ in (21) is orthogonal to $| {a}_{1}^{{\prime} },{a}_{2},{b}_{4},{y}_{2}{\rangle }_{{\rm{A}}:{\rm{B}}:{\rm{D}}:\mathrm{CE}}\,\in {{ \mathcal H }}_{{\rm{A}}}\otimes {{ \mathcal H }}_{{\rm{B}}}\otimes {{ \mathcal H }}_{{\rm{D}}}\otimes {{ \mathcal H }}_{\mathrm{CE}}$, where $| {y}_{2}\rangle $ is orthogonal to $| 0,0\rangle $, $| 1,{a}_{5}\rangle $ and $| {c}_{3}^{{\prime} },{b}_{5}^{{\prime} }\rangle $. So ${{ \mathcal T }}_{3}$ is not a UPB in ${{ \mathcal H }}_{{\rm{A}}}\otimes {{ \mathcal H }}_{{\rm{B}}}\otimes {{ \mathcal H }}_{{\rm{D}}}\otimes {{ \mathcal H }}_{\mathrm{CE}}$.
IV
(IV) When we merge the system DE, one can verify that the set ${{ \mathcal T }}_{4}$ in (21) is orthogonal to $| {a}_{1}^{{\prime} },{a}_{2},{c}_{3}^{{\prime} },{y}_{3}{\rangle }_{{\rm{A}}:{\rm{B}}:{\rm{C}}:\mathrm{DE}}\,\in {{ \mathcal H }}_{{\rm{A}}}\otimes {{ \mathcal H }}_{{\rm{B}}}\otimes {{ \mathcal H }}_{{\rm{C}}}\otimes {{ \mathcal H }}_{\mathrm{DE}}$, where $| {y}_{3}\rangle $ is orthogonal to $| 0,0\rangle $, $| {a}_{4},{a}_{5}\rangle $ and $| {c}_{4}^{{\prime} },{b}_{5}^{{\prime} }\rangle $. So ${{ \mathcal T }}_{4}$ is not a UPB in ${{ \mathcal H }}_{{\rm{A}}}\otimes {{ \mathcal H }}_{{\rm{B}}}\otimes {{ \mathcal H }}_{{\rm{C}}}\otimes {{ \mathcal H }}_{\mathrm{DE}}$.
In the following, we investigate the merge of system AC, AD, AE, BC, BD and BE in (21), respectively. For this purpose, we consider the positive numbers ${x}_{j},{y}_{j},{w}_{j}\,\in (0,\pi /2)$ and
(V) When we merge the system AC of the set ${{ \mathcal T }}_{5}$ in (21), we switch column B and C, and obtain the matrix in (23). The first two columns of (23) consist of the following eight rows.
$\begin{eqnarray*}{{ \mathcal T }}_{5}=\{| {a}_{j},{b}_{j},{c}_{j},{e}_{j}\rangle ,j=1,\ldots ,8\},\end{eqnarray*}$
in (23) is orthogonal to the product vector $| u,\,v,\,w,\,{y}_{5}{\rangle }_{{\rm{B}}:{\rm{D}}:{\rm{E}}:\mathrm{AC}}\,\in \,{{ \mathcal H }}_{{\rm{B}}}\,\otimes \,{{ \mathcal H }}_{{\rm{D}}}\,\otimes \,{{ \mathcal H }}_{{\rm{E}}}\otimes $ $ {{ \mathcal H }}_{\mathrm{AC}}={{\mathbb{C}}}^{2}\otimes {{\mathbb{C}}}^{2}\otimes {{\mathbb{C}}}^{2}\otimes {{\mathbb{C}}}^{4}$. Hence $| u,v,w\rangle $ is orthogonal to some of the eight three-qubit product vectors $| {a}_{1},{b}_{1},{c}_{1}\rangle ,\ldots ,| {a}_{8},{b}_{8},{c}_{8}\rangle $. Up to the permutation of subscripts, we may assume that $| u,v,w\rangle $ is orthogonal to k product vectors $| {a}_{1},{b}_{1},{c}_{1}\rangle ,\ldots ,| {a}_{k},{b}_{k},{c}_{k}\rangle $, and $| {y}_{5}\rangle $ is orthogonal to (8-k) product vectors $| {f}_{k+1}\rangle ,\ldots ,| {f}_{8}\rangle $. By checking the expression of ${{ \mathcal T }}_{5}$, one can show the property that each column of the matrix of ${{ \mathcal T }}_{5}$ has at most two identical elements. In particular, the set $\{| {a}_{j}\rangle \}$ has at most two identical elements, and the set $\{| {b}_{j}\rangle \}$, $\{| {c}_{j}\rangle \}$ has no identical elements. So we obtain $k\lt 5$, and it suffices to study the case k = 4. Hence, $| u,v,w\rangle $ is orthogonal to exactly four of the eight product vectors $| {a}_{1},{b}_{1},{c}_{1}\rangle ,\ldots ,| {a}_{8},{b}_{8},{c}_{8}\rangle $. At the same time, $| {y}_{5}\rangle $ is orthogonal to four of the eight product vectors $| {e}_{1}\rangle ,\ldots ,| {e}_{8}\rangle $. So the four vectors form a 4 × 4 singular matrix, which has a rank at most three. However, by applying Matlab to matrix (25), we have shown that such a matrix does not exist. Hence, the product vector $| u,v,w,{y}_{5}{\rangle }_{{\rm{B}}:{\rm{D}}:{\rm{E}}:\mathrm{AC}}$ does not exist. We have proven that ${{ \mathcal T }}_{5}=\{| {a}_{j},{b}_{j},{c}_{j},{e}_{j}\rangle ,j=1,\ldots ,8\}$ is a four-partite UPB in ${{ \mathcal H }}_{{\rm{B}}}\otimes {{ \mathcal H }}_{{\rm{D}}}\otimes {{ \mathcal H }}_{{\rm{E}}}\otimes {{ \mathcal H }}_{\mathrm{AC}}$.
(VI) When we merge the system AD of the set ${{ \mathcal T }}_{6}$ in (21), we switch column D $\to $ B $\to $ C $\to $ D, and obtain the matrix in (26).
$\begin{eqnarray*}{{ \mathcal T }}_{6}=\{| {a}_{j},{b}_{j},{c}_{j},{f}_{j}\rangle ,j=1,\ldots ,8\},\end{eqnarray*}$
in (26) is orthogonal to the product vector $| u,v,w,{y}_{6}{\rangle }_{{\rm{B}}:{\rm{C}}:{\rm{E}}:\mathrm{AD}}\in {{\mathbb{C}}}^{2}\otimes {{\mathbb{C}}}^{2}\otimes {{\mathbb{C}}}^{2}\otimes {{\mathbb{C}}}^{4}$. Hence $| u,v,w\rangle $ is orthogonal to some of the eight three-qubit product vectors $| {a}_{1},{b}_{1},{c}_{1}\rangle ,\ldots ,| {a}_{8},{b}_{8},{c}_{8}\rangle $. Up to the permutation of subscripts, we may assume that $| u,v,w\rangle $ is orthogonal to k product vectors $| {a}_{1},{b}_{1},{c}_{1}\rangle ,\ldots ,| {a}_{k},{b}_{k},{c}_{k}\rangle $, and $| {y}_{6}\rangle $ is orthogonal to (8-k) product vectors $| {f}_{k+1}\rangle ,\ldots ,| {f}_{8}\rangle $. By checking the expression of ${{ \mathcal T }}_{6}$, one can show the property that each column of the matrix of ${{ \mathcal T }}_{6}$ has at most two identical elements. In particular, the set $\{| {a}_{j}\rangle \}$ has at most two identical elements, and the set $\{| {b}_{j}\rangle \}$, $\{| {c}_{j}\rangle \}$ has no identical elements. So we obtain $k\lt 5$, and it suffices to study the case k = 4. Hence, $| u,v,w\rangle $ is orthogonal to exactly four of the eight product vectors $| {a}_{1},{b}_{1},{c}_{1}\rangle ,\ldots ,| {a}_{8},{b}_{8},{c}_{8}\rangle $. At the same time, $| {y}_{6}\rangle $ is orthogonal to four of the eight product vectors $| {f}_{1}\rangle ,\ldots ,| {f}_{8}\rangle $. So the four vectors form a 4 × 4 singular matrix, which has rank at most three. However, by applying Matlab to matrix (28), we have shown that such a matrix does not exist. Hence, the product vector $| u,v,w,{y}_{6}{\rangle }_{{\rm{B}}:{\rm{C}}:{\rm{E}}:\mathrm{AD}}$ does not exist. We have proven that ${{ \mathcal T }}_{6}=\{| {a}_{j},{b}_{j},{c}_{j},{f}_{j}\rangle ,j=1,\ldots ,8\}$ is a four-partite UPB in ${{ \mathcal H }}_{{\rm{B}}:{\rm{C}}:{\rm{E}}:\mathrm{AD}}={{\mathbb{C}}}^{2}\otimes {{\mathbb{C}}}^{2}\otimes {{\mathbb{C}}}^{2}\otimes {{\mathbb{C}}}^{4}$.
(VII) When we merge the system AD of the set ${{ \mathcal T }}_{7}$ in (21), we switch column E $\to $ B $\to $ C $\to $ D $\to $ E, and obtain the matrix in (29).
$\begin{eqnarray*}{{ \mathcal T }}_{7}=\{| {a}_{j},{b}_{j},{c}_{j},{g}_{j}\rangle ,j=1,\ldots ,8\},\end{eqnarray*}$
in (29) is orthogonal to the product vector $| u,v,w,{y}_{7}{\rangle }_{{\rm{B}}:{\rm{C}}:{\rm{D}}:{AE}}\in {{\mathbb{C}}}^{2}\otimes {{\mathbb{C}}}^{2}\otimes {{\mathbb{C}}}^{2}\otimes {{\mathbb{C}}}^{4}$. Hence $| u,v,w\rangle $ is orthogonal to some of the eight three-qubit product vectors $| {a}_{1},{b}_{1},{c}_{1}\rangle ,\ldots ,| {a}_{8},{b}_{8},{c}_{8}\rangle $. Up to the permutation of subscripts, we may assume that $| u,v,w\rangle $ is orthogonal to k product vectors $| {a}_{1},{b}_{1},{c}_{1}\rangle ,\ldots ,| {a}_{k},{b}_{k},{c}_{k}\rangle $, and $| {y}_{7}\rangle $ is orthogonal to (8-k) product vectors $| {g}_{k+1}\rangle ,\ldots ,| {g}_{8}\rangle $. By checking the expression of ${{ \mathcal T }}_{7}$, one can show the property that each column of the matrix of ${{ \mathcal T }}_{7}$ has at most two identical elements. In particular, the set $\{| {a}_{j}\rangle \}$ has at most two identical elements, and the set $\{| {b}_{j}\rangle \}$, $\{| {c}_{j}\rangle \}$ has no identical elements. So we obtain $k\lt 5$, and it suffices to study the case k = 4. Hence, $| u,v,w\rangle $ is orthogonal to exactly four of the eight product vectors $| {a}_{1},{b}_{1},{c}_{1}\rangle ,\ldots ,| {a}_{8},{b}_{8},{c}_{8}\rangle $. At the same time, $| {y}_{7}\rangle $ is orthogonal to four of the eight product vectors $| {g}_{1}\rangle ,\ldots ,| {g}_{8}\rangle $. So the four vectors form a 4 × 4 singular matrix, which has rank at most three. However, by applying Matlab to matrix (31), we have shown that such a matrix does not exist. Hence, the product vector $| u,v,w,{y}_{7}{\rangle }_{{\rm{B}}:{\rm{D}}:{\rm{E}}:\mathrm{AC}}$ does not exist. We have proven that ${{ \mathcal T }}_{7}=\{| {a}_{j},{b}_{j},{c}_{j},{g}_{j}\rangle ,j=1,\ldots ,8\}$ is a four-partite UPB in ${{ \mathcal H }}_{{\rm{B}}:{\rm{C}}:{\rm{D}}:\mathrm{AE}}={{\mathbb{C}}}^{2}\otimes {{\mathbb{C}}}^{2}\otimes {{\mathbb{C}}}^{2}\otimes {{\mathbb{C}}}^{4}$.
(VIII) When we merge the system BC of the set ${{ \mathcal T }}_{8}$ in (21), we switch column ${\rm{C}}\to {\rm{B}}\to {\rm{A}}\to {\rm{C}}$, and obtain the matrix in (32).
$\begin{eqnarray*}{{ \mathcal T }}_{8}=\{| {a}_{j},{b}_{j},{c}_{j},{h}_{j}\rangle ,j=1,\ldots ,8\},\end{eqnarray*}$
in (32) is orthogonal to the product vector $| u,v,w,{y}_{8}{\rangle }_{{\rm{A}}:{\rm{D}}:{\rm{E}}:\mathrm{BC}}\in {{\mathbb{C}}}^{2}\otimes {{\mathbb{C}}}^{2}\otimes {{\mathbb{C}}}^{2}\otimes {{\mathbb{C}}}^{4}$. Hence $| u,v,w\rangle $ is orthogonal to some of the eight three-qubit product vectors $| {a}_{1},{b}_{1},{c}_{1}\rangle ,\ldots ,| {a}_{8},{b}_{8},{c}_{8}\rangle $. Up to the permutation of subscripts, we may assume that $| u,v,w\rangle $ is orthogonal to k product vectors $| {a}_{1},{b}_{1},{c}_{1}\rangle ,\ldots ,| {a}_{k},{b}_{k},{c}_{k}\rangle $, and $| {y}_{8}\rangle $ is orthogonal to (8-k) product vectors $| {h}_{k+1}\rangle ,\ldots ,| {h}_{8}\rangle $. By checking the expression of ${{ \mathcal T }}_{8}$, one can show the property that each column of the matrix of ${{ \mathcal T }}_{8}$ has at most two identical elements. In particular, the set $\{| {a}_{j}\rangle \}$ has at most two identical elements, and the set $\{| {b}_{j}\rangle \}$, $\{| {c}_{j}\rangle \}$ has no identical elements. So we obtain $k\lt 5$, and it suffices to study the case k = 4. Hence, $| u,v,w\rangle $ is orthogonal to exactly four of the eight product vectors $| {a}_{1},{b}_{1},{c}_{1}\rangle ,\ldots ,| {a}_{8},{b}_{8},{c}_{8}\rangle $. At the same time, $| {y}_{8}\rangle $ is orthogonal to four of the eight product vectors $| {h}_{1}\rangle ,\ldots ,| {h}_{8}\rangle $. So the four vectors form a 4 × 4 singular matrix, which has a rank at most three. However, by applying Matlab to matrix (34), we have shown that such a matrix does not exist. Hence, the product vector $| u,v,w,{y}_{8}{\rangle }_{{\rm{A}}:{\rm{D}}:{\rm{E}}:\mathrm{BC}}$ does not exist. We have proven that ${{ \mathcal T }}_{8}=\{| {a}_{j},{b}_{j},{c}_{j},{h}_{j}\rangle ,j=1,\ldots ,8\}$ is a four-partite UPB in ${{ \mathcal H }}_{{\rm{A}}:{\rm{D}}:{\rm{E}}:\mathrm{BC}}={{\mathbb{C}}}^{2}\otimes {{\mathbb{C}}}^{2}\otimes {{\mathbb{C}}}^{2}\otimes {{\mathbb{C}}}^{4}$.
(IX) When we merge the system BD of the set ${{ \mathcal T }}_{9}$ in (21), we switch column ${\rm{D}}\to {\rm{B}}\to {\rm{A}}\to {\rm{C}}\to {\rm{D}}$, and obtain the matrix in (35).
$\begin{eqnarray*}{{ \mathcal T }}_{9}=\{| {a}_{j},{b}_{j},{c}_{j},{m}_{j}\rangle ,j=1,\ldots ,8\},\end{eqnarray*}$
in (35) is orthogonal to the product vector $| u,v,w,{y}_{9}{\rangle }_{{\rm{A}}:{\rm{C}}:{\rm{E}}:\mathrm{BD}}\in {{\mathbb{C}}}^{2}\otimes {{\mathbb{C}}}^{2}\otimes {{\mathbb{C}}}^{2}\otimes {{\mathbb{C}}}^{4}$. Hence $| u,v,w\rangle $ is orthogonal to some of the eight three-qubit product vectors $| {a}_{1},{b}_{1},{c}_{1}\rangle ,\ldots ,| {a}_{8},{b}_{8},{c}_{8}\rangle $. Up to the permutation of subscripts, we may assume that $| u,v,w\rangle $ is orthogonal to k product vectors $| {a}_{1},{b}_{1},{c}_{1}\rangle ,\ldots ,| {a}_{k},{b}_{k},{c}_{k}\rangle $, and $| {y}_{9}\rangle $ is orthogonal to (8-k) product vectors $| {m}_{k+1}\rangle ,\ldots ,| {m}_{8}\rangle $. By checking the expression of ${{ \mathcal T }}_{9}$, one can show the property that each column of the matrix of ${{ \mathcal T }}_{9}$ has at most two identical elements. In particular, the set $\{| {a}_{j}\rangle \}$ has at most two identical elements, and the set $\{| {b}_{j}\rangle \}$, $\{| {c}_{j}\rangle \}$ has no identical elements. So we obtain $k\lt 5$, and it suffices to study the case k = 4. Hence, $| u,v,w\rangle $ is orthogonal to exactly four of the eight product vectors $| {a}_{1},{b}_{1},{c}_{1}\rangle ,\ldots ,| {a}_{8},{b}_{8},{c}_{8}\rangle $. At the same time, $| {y}_{9}\rangle $ is orthogonal to four of the eight product vectors $| {m}_{1}\rangle ,\ldots ,| {m}_{8}\rangle $. So the four vectors form a 4 × 4 singular matrix, which has a rank at most three. However, by applying Matlab to matrix (37), we have shown that such a matrix does not exist. Hence, the product vector $| u,v,w,{y}_{9}{\rangle }_{{\rm{A}}:{\rm{C}}:{\rm{E}}:\mathrm{BD}}$ does not exist. We have proven that ${{ \mathcal T }}_{9}=\{| {a}_{j},{b}_{j},{c}_{j},{m}_{j}\rangle ,j=1,\ldots ,8\}$ is a four-partite UPB in ${{ \mathcal H }}_{{\rm{A}}:{\rm{C}}:{\rm{E}}:\mathrm{BD}}={{\mathbb{C}}}^{2}\otimes {{\mathbb{C}}}^{2}\otimes {{\mathbb{C}}}^{2}\otimes {{\mathbb{C}}}^{4}$.
(X) When we merge the system BE of the set ${{ \mathcal T }}_{10}$ in (21), we switch column ${\rm{E}}\to {\rm{B}}\to {\rm{A}}\to {\rm{C}}\to {\rm{D}}\to {\rm{E}}$ of the set ${ \mathcal T }$, and obtain the matrix in (38).
$\begin{eqnarray*}{{ \mathcal T }}_{10}=\{| {a}_{j},{b}_{j},{c}_{j},{n}_{j}\rangle ,j=1,\ldots ,8\},\end{eqnarray*}$
in (38) is orthogonal to the product vector $| u,v,w,{y}_{10}{\rangle }_{{\rm{A}}:{\rm{C}}:{\rm{D}}:\mathrm{BE}}\in {{\mathbb{C}}}^{2}\otimes {{\mathbb{C}}}^{2}\otimes {{\mathbb{C}}}^{2}\otimes {{\mathbb{C}}}^{4}$. Hence $| u,v,w\rangle $ is orthogonal to some of the eight three-qubit product vectors $| {a}_{1},{b}_{1},{c}_{1}\rangle ,\ldots ,| {a}_{8},{b}_{8},{c}_{8}\rangle $. Up to the permutation of subscripts, we may assume that $| u,v,w\rangle $ is orthogonal to k product vectors $| {a}_{1},{b}_{1},{c}_{1}\rangle ,\ldots ,| {a}_{k},{b}_{k},{c}_{k}\rangle $, and $| {y}_{10}\rangle $ is orthogonal to (8-k) product vectors $| {n}_{k+1}\rangle ,\ldots ,| {n}_{8}\rangle $. By checking the expression of ${{ \mathcal T }}_{10}$, one can show the property that each column of the matrix of ${{ \mathcal T }}_{10}$ has at most two identical elements. In particular, the set $\{| {a}_{j}\rangle \}$ has at most two identical elements, and the set $\{| {b}_{j}\rangle \}$, $\{| {c}_{j}\rangle $}has no identical elements. So we obtain $k\lt 5$, and it suffices to study the case k = 4. Hence, $| u,v,w\rangle $ is orthogonal to exactly four of the eight product vectors $| {a}_{1},{b}_{1},{c}_{1}\rangle ,\ldots ,| {a}_{8},{b}_{8},{c}_{8}\rangle $. At the same time, $| {y}_{10}\rangle $ is orthogonal to four of the eight product vectors $| {n}_{1}\rangle ,\ldots ,| {n}_{8}\rangle $. So the four vectors form a 4 × 4 singular matrix, which has rank at most three. However, by applying Matlab to matrix (40), we have shown that such a matrix does not exist. Hence, the product vector $| u,v,w,{y}_{10}{\rangle }_{{\rm{A}}:{\rm{C}}:{\rm{D}}:\mathrm{BE}}$ does not exist. We have proven that ${{ \mathcal T }}_{10}=\{| {a}_{j},{b}_{j},{c}_{j},{n}_{j}\rangle ,j=1,\ldots ,8\}$ is a four-partite UPB in ${{ \mathcal H }}_{{\rm{A}}:{\rm{C}}:{\rm{D}}:{BE}}={{\mathbb{C}}}^{2}\otimes {{\mathbb{C}}}^{2}\otimes {{\mathbb{C}}}^{2}\otimes {{\mathbb{C}}}^{4}$. □
So we have managed to construct a family of real four-partite UPBs of size eight, by using the existing five-qubit UPBs. It remains to show whether the real UPB in Theorem 2 can be extended to a complex field. Our primary investigation shows that it might be true by using a similar technique in the above proof.
5. Application
In this section, we apply the results in the last two sections. We shall construct two families of multipartite entangled states, which have positive partial transpose (PPT). A bipartite state $\rho \in { \mathcal B }({{\mathbb{C}}}^{m}\otimes {{\mathbb{C}}}^{n}):= { \mathcal B }({{ \mathcal H }}_{{\rm{A}}}\otimes {{ \mathcal H }}_{{\rm{B}}})$ is a positive semidefinite matrix of trace one. The partial transpose of ρ is defined as ρΓ = ∑j,k(∣j〉〈k∣ ⨂ I)ρ(∣j〉〈k∣ ⨂ I) with the computational basis $\{| j\rangle \}\in {{\mathbb{C}}}^{m}$. We say that ρ is a PPT state when ρΓ is also positive semidefinite. For example, the separable state is PPT, because it is the convex sum of product states. On the other hand, the PPT state may be not separable when $\min \{m,n\}\gt 2$ [38, 39]. The examples of two-qutrit PPT entangled states were constructed in the 1980s, and then introduced in quantum information [40–42]. Next, two-qutrit PPT entangled states of rank four were fully characterized in [43] and [44], respectively. In contrast, the construction of multipartite PPT entangled states and their investigation in terms of entanglement theory is more involved. A systematic method for such a construction is to employ an n-partite UPB $\{| {u}_{j}\rangle \}{}_{j=\mathrm{1,2},\ldots ,m}\in {{\mathbb{C}}}^{{d}_{1}}\otimes ...\otimes {{\mathbb{C}}}^{{d}_{n}}$. That is, one can show that
is an n-partite PPT entangled state of rank d1...dn − m. In theorems 1 and 2, we have constructed respectively two and six UPBs. Every one of them can be applied to (41) and generate a PPT entangled state ρ. For example, we demonstrate a 4 × 2 × 2 PPT entangled state of rank eight from theorem 1 as follows.
where ∣δ1,…,δn〉 is a normalized product state in ${{\mathbb{C}}}^{{d}_{1}}\otimes ...\otimes {{\mathbb{C}}}^{{d}_{n}}$. In particular, $\rho \in { \mathcal B }({{\mathbb{C}}}^{4}\otimes {{\mathbb{C}}}^{2}\otimes {{\mathbb{C}}}^{2})$ means that d1 = 4 and d2 = d3 = 2 with n = 3, and $\alpha \,\in { \mathcal B }({{\mathbb{C}}}^{2}\otimes {{\mathbb{C}}}^{2}\otimes {{\mathbb{C}}}^{2}\otimes {{\mathbb{C}}}^{2})$ means that d1 = d2 = d3 = d4 = 2 with n = 4. Hence we obtain that
So G(ρ) is upper bounded by G(α). However it is not easy to compute, and also might not be a tight upper bound. Equations (42) and (43) imply that the evaluation of G(ρ) is equivalent to
for $P\in { \mathcal B }({{\mathbb{C}}}^{4}\otimes {{\mathbb{C}}}^{2}\otimes {{\mathbb{C}}}^{2})$ in (42). To find an upper bound, we only consider $| {\delta }_{1},{\delta }_{2},{\delta }_{3}\rangle \in {{\mathbb{R}}}^{4}\otimes {{\mathbb{R}}}^{2}\otimes {{\mathbb{R}}}^{2}$ in (45). We assume that
Due to the difficulty of simplifying the function f(ν1, ν2, ν3, μ1, μ2) in equation (48), we aim to find an upper bound of the function, over the parameters νj, μj ∈ [0, 2π) and real constant xj, yj. In particular, one can obtain that
One can show that f(ν1, 0, ν3, 0, 0) ≥ f(ν1, 0, π/2, 0, 0) = ${\left(\cos {x}_{2}\right)}^{2}{\left(\sin {x}_{3}\right)}^{2}$. Hence equation (45) is upper bounded by the minimum of (49)-(51), denoted as ${ \mathcal M }$. As a result, the geometric measure of entanglement of ρ, namely G(ρ) in (43) is upper bounded by $-{\mathrm{log}}_{2}(1-{ \mathcal M })$. So we have managed to evaluate the geometric measure of the PPT entangled state ρ from a family of 2 × 2 × 4 UPBs we have constructed in this paper. The more explicit evaluation requires a better understanding of (48).
6. Conclusions
We have constructed two families of multipartite UPBs. They are respectively a 2 × 2 × 4 UPB of size eight by using the four-qubit UPBs of size eight, as well as a 2 × 2 × 2 × 4 UPB of size eight by using the five-qubit UPBs of size eight. As a byproduct, we have constructed two novel multipartite PPT entangled states and evaluated their entanglement. A question arising from this paper is to construct more multipartite high-dimensional UPBs using the existing multiqubit UPBs, as it is always a technical challenge with extensive applications in various quantum information tasks.
Acknowledgments
LC was supported by the NNSF of China (Grant No. 11871089), and the Fundamental Research Funds for the Central Universities (Grant Nos. KG12040501, ZG216S1810 and ZG226S18C1).
Conflict of interest statement
On behalf of all authors, the corresponding author states that there is no conflict of interest.
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