1. Introduction
Quantum entanglement is the cornerstone of modern quantum technologies [
1]. Within them, quantum teleportation, the capability to transfer the information encoded in the quantum state of a physical system (e.g., an atom or a photon) to another distant physical system, plays an important role, as its remarkable theoretical and experimental development has shown over the last quarter of a century [
2]. Because the first protocol introduced by Bennet et al. [
3], a number of milestones have paved the way for a solid settlement of the technology based on it. In 1997, the first experimental evidence was demonstrated by transferring a single photon state [
4]. These former experiments, where the distance mediating the quantum transfer was of about a few meters, were followed soon afterwards by the first long-distance experiments, involving several kilometers [
5]. In this regard, a record was established in 2012, when the experiments were performed between two laboratories separated a distance of 143 km [
6], with the purpose to demonstrate the feasibility of the phenomenon at distances of the order of a low Earth orbit and, hence, to implement quantum key distribution protocols at the global level. That record was overcome shortly after by transferring a quantum state between the cities of Delingha and Lijiang, separated by a distance of 1200 km [
7], and then with the aid of the Micius satellite [
8], setting a new record and also the basis for global communications. Furthermore, there are other important proposals or milestones in recent years regarding quantum teleportation, such as the possibility to transfer internal quantum states between living organisms (e.g., bacteria [
9]), the use of this phenomenon to acquire information from the inside of black holes [
10], or the experimental realization of quantum teleportation of qutrits [
11]. No doubt, these appealing studies directly point towards the development of more sophisticated protocols enabling the teleportation of complex quantum objects.
Nevertheless, the physical essence of the process still remains the same, regardless of the level of complexity and sophistication involved in all those investigations: an entangled pair of particles is used as the resource necessary to transfer the information encoded in a quantum system to another distant system, in a way that somehow remembers the classical momentum transfer in the so-called Newton’s cradle. In this regard, one wonders whether it is possible to find a conceptual description of the process, which might help us to better understand it without making emphasis on the particular physical substrate, as it is usually the case when we consider the standard quantum formulation. This is an idea underlying analogous descriptions of quantum information transfer processes, such as Penrose’s graphical notation [
12] or, more recently, Coecke’s quantum picturialism [
13], closer to logic. Another route that can be followed is that of topology. Kauffman and Lomonaco, for instance, have developed an approach to account for quantum logic gates and entanglement operators [
14,
15]. Different topological surfaces have also been used by Mironov [
16,
17] to deal with the issue of measuring the Von Neumann entropy.
The present work is motivated by the search of an effective pictorial representation for quantum teleportation in dynamical terms, beyond the more standard state vector views, which in the end are more closely connected to particular physical substrates (electrons, photons, vacancies, etc.). Typically, topological descriptions and descriptors are developed within a static framework, just as an operational tool to classify quantum states or to obtain entanglment relations and measures without involving time. Quantum teleportation, on the other hand, inherently involves evolution in time as the information conveyed by a given system is transferred via a quantum channel (and entangled system) somewhere else, even if time-dependence is not explicitly displayed (this happens, for instance, in the former protocol introduced by Bennet et al.). Hence, one wonders whether it is possible to describe this flow, which involves unitary evolution stages with non-unitary measurements by means of a symbolic language, which captures the essence of the full process and, in turn, maintains direct correspondence with the usual state vector description. As it is shown here, this can be done with the aid of graph theory, and introducing some auxiliary elements and notation, which confers the approach with enough flexibility to mimic a dynamical evolution. Moreover, this description is also general enough as to provide protocols when quantum channels consist even of large quantum systems [
18]. In this regard, the relational approach introduced here is intended to build a wider and and deeper understanding of quantum dynamical processes involving entanglement, such as quantum teleportation, which might also be easily transferred to other quantum dynamical problems in a rather simple form despite an eventual gradual increment of the level of complexity involved (e.g., a web or lattice of interconnected qubits).
To tackle the issue, a recent work by Quinta and André [
19] has provided us the grounds upon which our graph approach has been constructed. In this work, a relational classification system for
N-qubit states is provided, which is based on how many entangled subsystems are involved, in a way that is similar to the search of irreducible representations in group theory. By recasting then the quantum state in the form of an
N-variable polynomial, they are able to associate an
N-component topological link with such a quantum state. Based on this idea, and taking into account the construction of graphs from the corresponding polynomials and links, we have developed an intuitive graph approach to quantum teleportation processes, which include virtual nodes and edges, on the one hand, and additional labeling for nodes to denote potential states (in contrast to the usual actual states), on the other hand. In this regard, this approach goes beyond more standard approaches that are based on links, which lack this relational versatility of graphs, necessary to generate the idea of evolution or flow in time.
The work has been organized, as follows. To be self-contained, some elementary notions from the polynomial and link approach developed by Quinta and André are introduced and discussed in
Section 2. In order to get the flavor of the approach and, hence, make more evident the transition to the graph representation, the particular case of a four-qubit state coupled to an auxiliary six-level qudit is analyzed. Subsequently, the graph approach here considered to account for entangled systems is introduced and discussed in
Section 3. The application to quantum teleportation is presented in
Section 4, first in the case of the standard protocol, and then in the case of teleportation processes involving three and four qubits. From these cases, a general protocol for coupling of a qubit with an
N-party entangled state is introduced and discussed. To conclude, a series of final remarks are summarized in
Section 5.
2. Polynomials, Links, and Entanglement
According to Quinta and André [
19],
N-qubit entangled states can be represented by polynomial and topological links, where each constituting qubit is associated with a variable in the polynomial and a ring in the link structure. Consider the operation of partially tracing over a particular qubit in the
N-qubit density matrix that describes such a state. Within this representation, this is equivalent to:
- (i)
Setting to zero the variable describing the traced qubit in the corresponding polynomial.
- (ii)
Removing the ring related to this qubit from the full system topological link.
The resulting polynomial and link thus describe the reduced density matrix for the remaining
qubits. Accordingly, the subsequent sub-polynomials and sub-links that arise after partially tracing with respect to every qubit provide us with valuable information regarding the entanglement that still remains and, therefore, which is going to characterize every reduced subsystem. Thus, it follows that the original polynomial contains all the monomials associated with all possible maximally entangled subsystems, which can be determined by means of the Peres–Horodecki separability criterion [
20,
21] (see also [
22,
23]). This is, somehow, analogous to the criterion introduced in [
19] to reduce the polynomials under the presence of redundant monomials (simplification rule): a monomial is irrelevant and, therefore, must be neglected if all of its variables are already present in a lower-order sub-polynomial, which corresponds to a maximally entangled state that does not include other variables.
To illustrate the above assertion, consider the case, for instance, of the quantum state
from [
19] (the subscript ‘34’ is just a classifying label, not relevant to the present work, but introduced establishing a better connection to notation used in the literature), which reads as
This state describes a system formed by four qubits (
a,
b,
c and
d) coupled to an auxiliary six-level qudit
(specified by
, with
q ranging from 0 to 5). Notice that, in turn, this quantum state consists of several tripartite and bipartite entangled sub-states of the class
with
, i.e.,
Furthermore, there are also factorizable single and bipartite qubits (note that the difference in notation between factorizable states and entangled ones relies on the superscript associated with the latter, which makes reference to the corresponding class specified in [
19]). Physically, the quantum state (
1) can be interpreted as the result of coupling a four-qubit system with a qudit, such that the latter couples differently depending on how the four qubits are arranged. For instance, the qudit remains in its ground state if the qubits
a,
b, and
c are entangled, while the qubit
d remains independent; if the qubits
a and
b are entangled, and the qubits
c and
d remain independent, then the qudit
couples with its fourth excited state; and, so forth.
In order to determine now the amount of entanglement as well as the polynomials and topological rings that are associated with (
1), we first determine the corresponding density matrix and we then partially trace over the qudit
. The resulting 16 × 16 reduced density matrix reads as
After applying the Peres–Horodecki separability criterion for mixed states to this reduced matrix (details on this calculation are provided in
Appendix A), only the subsystems (monomials)
,
,
,
,
,
, and
are shown to be maximally entangled. Consequently, the associated polynomial is
which contains all of the above monomials, except the
one, neglected by virtue of the simplification rule mentioned above. On the other hand, the topological link that is associated with the polynomial (
6) is readily obtained by cutting and removing the ring corresponding to the qudit
, which is equivalent to setting to zero the associated variable. This process is analogous to chain structures (see, for instance, Figure 11 in [
19]), each one representing a monomial with two, three, or four variables. In the particular case of the mixed state (
5), the corresponding link representation is displayed in
Figure 1, where qubits
a,
b,
c, and
d have been denoted with orange, green, blue, and pink rings, respectively, for a better visualization. Furthermore, in order to better appreciate the monomial structure, i.e., the two- and three-variable linking, bipartite entangled structures have been surrounded by yellow and red circles, respectively.
As it can be noticed, a topological description in terms of links is rather convenient to specify entanglement relationships, for it provides us with a general picture of this quantum property without making any explicit reference to a particular physical substrate (material particles, photons, or, in general, different types of degrees of freedom). The key question now is whether the same representation is suitable to describe entanglement transfer or exchange among different quantum systems, which is the case of quantum teleportation. Two drawbacks arise in this regard:
The way back is not straightforward, i.e., it is not evident how to generate links that are associated with polynomials from the constituting monomials. This entails difficulties regarding the introduction of some general rules aimed at describing the system splitting after measurement.
Although topological links can be useful to elucidate entanglement relationships in systems with a few qubits, the same gets far messier as the number of qubits increases.
At this point, it is clear that we need an alternative representation, which may introduce or describe similar elements, but that, in turn, becomes more versatile, thus providing us with a more suitable framework to deal with the notion of flow of entanglement and information.
3. Graphs and Entanglement
In order to circumvent the above inconveniences, let us thus consider instead a graph representation. In order to move from polynomials to graphs, we associate the variables of a polynomial with (labeled) graph nodes and any entanglement relationship is accounted for by a graph edge. Accordingly, within this scenario, setting to zero a variable is analogous to removing the associated node (and, of course, also the edges incident on it). Now, this is still a rather basic representation, since it only enables a description of polynomials that consist of two-variable monomials; higher-order monomials require an additional level of refinement, for the removal of a node and the corresponding incident edges should not generate a disconnection among the remaining nodes. Notice that this is also necessary, in turn, in order to provide a dynamical view of the entanglement transfer process.
That problem is solved here by defining an auxiliary element in the approach, namely an unlabeled connection or virtual node. Appealing to a color code for simplicity, these virtual nodes are going to be denoted here with blue, while the usual labeled ones will be specified with red. The constructions of graphs by means of these auxiliary virtual nodes follows some simple rules, which also help to simplify the reconstruction of multipartite graphs from elementary ones, just in the same that polynomials are built from elementary monomials. These rules are:
Auxiliary nodes are only used to join three or more labeled nodes, which represent entangled states for three or more parties. Accordingly, two (or more) auxiliary nodes cannot be directly connected by an edge.
An auxiliary node is redundant if it is connected to three or more labeled nodes chained among themselves by successive edges. Redundant nodes must be removed.
If a labeled node is connected to other nodes through a virtual node, the trace over such a node removes not only its edge with the virtual node, but also the latter.
To illustrate the concept, an equivalence table is displayed in
Figure 2, where monomials, links, and graphs for entangled states with a different amount of parties (
to 5) are compared. These states have been built following a simple recursive relation with
N, which makes more apparent the fact that, when one of the qubits is removed, no matter which one, all other qubits become disentangled immediately. That is, setting to zero a variable completely cancels out the corresponding monomial; cutting a ring, totally releases all other rings. In the case of the graph representation, it can be seen that, for
, the virtual node keeps all qubits entangled. However, as soon as one of such qubits is removed (we partially trace over its states), the virtual node disappears and all other remaining qubits are released. Thus, this approach starts pointing in a direction that seems to favor a description in terms of generation and annihilation of entangled states, which is precisely the case in quantum teleportation, as it will be seen below.
Let us now consider the construction of the graph that is associated with a given polynomial. Without any loss of generality, we are going to consider the polynomial (
6).
Figure 3a shows the graph representation for the six constituting monomials. These monomials have been arranged in such a way that identical elements (qubits) appear face-to-face, which facilitates the subsequent construction of the final graph. Notice the key role played here, within this arrangement, by the virtual nodes. As it is seen in
Figure 3b, these nodes do not disappear when identical elements (labeled nodes) are merged together, because they are not redundant, according to the above rules, rather they provide us a clue on the inverse disconnection process. Furthermore, from this tetrapartite entangled system, the presence of the virtual nodes allows for us to easily identify entangled substructures (monomials) by just following the edges that join them with labeled nodes (for bipartite entangled structures it is enough to follow the edge that joins two neighbor labeled nodes).
By virtue of the second rule above, graphs can also be simplified. To illustrate this property, consider the pentapartite entangled state described by the polynomial
The two graphs in
Figure 4a are equivalent representations of this polynomial, although the one on the right contains a redundant auxiliary node. Note that this node joins labeled nodes that form a chain, which can be removed without altering the relationship among the constituting qubits, described by the monomials
,
and
. The other virtual node, on the contrary, is not reduntant, describing the tripartite monimial
. Now, notice that it is enough removing a single edge, for instance, between
d and
e, to make such a virtual node not redundant, as illustrated by the two graph representations displayed in
Figure 4b. Although they also describe pentapartite entangled systems, these graphs are not equivalent. The graph on the left is associated with the polynomial
The strategic position of the second virtual node in the graph on the right, on the other hand, additionally contains a tetrapartite entangled subsystem, namely (
), thus giving rise to the polynomial
5. Final Remarks
In spite of power of the standard algebraic approach of quantum mechanics in the field of quantum information transfer processes, it is equally important to have at hand simpler and visual approaches that emphasize the physics that arre involved in such processes from a quick glance, particularly in those cases where many different relations can be established among a rather large number of intervening parties. In other words, models and descriptions that emphasize the relational aspects of such complex systems are at the same footing, in this regard, as tough algebraic representations, which are more susceptible to hiding the physics that we otherwise we wish to readily see. Just to establish a direct and clear analogy, think of a roadmap that allows for us to quickly see the different roads that join some places with others without involving more quantitative measures (distances, heights, weather conditions, etc.), which is what matters at a first glance (other quantitative details are also important, of course, but on the next level).
In that sense, topological and pictorial representations of quantum entanglement and related processes have received much attention, because they emphasize such relational aspects over more quantitative algebraic ones. Now, it happens that they usually make emphasis on a static description, which is suitable for the classification and description of entangled states, or the performance and visualization of certain quantum logic operations. However, quantum processes, such as teleportation, involve a sort of dynamics where entanglement is swapped from one system or subsystem into another. In order to provide a symbolic representation for these dynamics, here we have introduced a graph representation of the phenomenon. With such a purpose, some additional elements, namely virtual nodes and edges, have had to be defined in order to capture the physical essence that is involved in such swapping process and translate it into proper and well-defined graph connections and disconnections.
By means of this approach, we have shown that it is possible to reproduce the flow-type evolution involved in quantum teleportation processes, but also to recover at any stage the usual state vector description, because of the one-to-one correspondence between both scenarios, the symbolic and the algebraic. To prove this versatility, we have analyzed and discussed the case of state teleportation while using bipartite, tripartite, and tetrapartite maximally entangled states as quantum channels, and where the corresponding qubits could be accommodated within the same laboratory (by pairs) or in different ones. This has allowed for us to summarize the actions that should be taken in the case of using quantum channels made of any number of qubits with the purpose to share the information available in a given laboratory with any other laboratory forming part of a quantum interconnected network.