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Quantum Experiments and Graphs: Multiparty States as coherent superpositions of Perfect Matchings

Mario Krenn, Xuemei Gu, Anton Zeilinger

arXiv:1705.06646v2quant-ph

TL;DR

The paper addresses how high-dimensional multipartite quantum experiments can be represented and analyzed systematically. It maps photon-path experiments to undirected graphs, uses perfect matchings to characterize quantum-state terms, and applies graph constructions and theorems to state generation. The framework includes structured entangled states, multipartite entanglement swapping, and graph-based complexity and matching results.

Abstract

from arXiv · show

We show a surprising link between experimental setups to realize high-dimensional multipartite quantum states and Graph Theory. In these setups, the paths of photons are identified such that the photon-source information is never created. We find that each of these setups corresponds to an undirected graph, and every undirected graph corresponds to an experimental setup. Every term in the emerging quantum superposition corresponds to a perfect matching in the graph. Calculating the final quantum state is in the complexity class #P-complete, thus cannot be done efficiently. To strengthen the link further, theorems from Graph Theory -- such as Hall's marriage problem -- are rephrased in the language of pair creation in quantum experiments. We show explicitly how this link allows to answer questions about quantum experiments (such as which classes of entangled states can be created) with graph theoretical methods, and potentially simulate properties of Graphs and Networks with quantum experiments (such as critical exponents and phase transitions).

Appendix I. Examples of Path Identity

Overlapping photon paths removes which-crystal information, producing coherent superpositions whose behavior depends on inserted phase- or mode-shifters.

Appendix I. Examples of Path Identity

  • Path identity makes the photon-source origin unknowable, yielding a coherent superposition of the possible output paths.In the basic setup, one photon exits through d while the other is in a superposition of a and c.Source: Appendix I · p. 7
  • Phase-shifters between crystals can constructively or destructively interfere, increasing or decreasing photon numbers in the outputs.The phase φ controls enhancement or suppression of pair creation.Source: Appendix I · p. 7, Figure 5 · p. 7
  • Mode-shifters instead produce an entangled two-photon state, while the photons may be arranged to emerge colinearly or at an angle.Source: Appendix I · p. 7, Figure 5 · p. 7

Appendix II. Multi-Graphs for different structured entangled states

Multigraphs model experiments in which multiple crystals connect the same paths, enabling structured states including W-states and asymmetrically entangled states.

Appendix II. Multi-Graphs for different structured entangled states

Appendix III. High-dimensional Multipartite Entanglement Swapping for State merging

Two multipartite entangled-state experiments can be merged through a high-dimensional Bell-state measurement, represented graphically by merging corresponding vertices.

Appendix III. High-dimensional Multipartite Entanglement Swapping for State merging

Appendix VI. Entanglement of 6 photons in 5 dimensions - complete graph K6

A five-layer experiment with three crystals per layer maps to the complete graph K6, whose perfect matchings determine the state terms and whose 1-factorizations provide independently controllable layers.

Appendix VI. Entanglement of 6 photons in 5 dimensions - complete graph K6

Appendix V. Bipartite Graphs

For bipartite experimental setups, the quantum state's number of terms equals the number of perfect matchings in the corresponding graph.

  • Counting perfect matchings in a bipartite graph is #P-complete, so determining the state's number of terms is computationally intractable in general.Individual crystal mode numbers can be set to identify which states are possible.Source: Appendix V · p. 10
  • The setup in Fig. 9 has ten paths and 15 crystals, and its corresponding bipartite graph contains eight perfect matchings.These matchings are represented by red edges and determine the resulting state's terms.Source: Figure 9 · p. 10

Appendix VI. Perfect matchings in general Graphs: Tutte’s theorem

Tutte’s theorem characterizes when a general graph has a perfect matching, and the paper translates this criterion into conditions on photon-pair experiments.

  • The theorem generalizes Hall’s marriage theorem from bipartite graphs to arbitrary graphs, determining whether a perfect matching exists rather than how many exist.Source: Appendix VI. Perfect matchings in… · p. 10
  • Tutte’s theorem states that a general graph has a perfect matching exactly when every vertex subset leaves at most that subset’s size of odd connected components.In the example, removing vertex d leaves three odd components while the subset has one vertex, so no perfect matching exists.Source: Figure 10 · p. 10, Appendix VI. Perfect matchings in… · p. 10
  • In the experimental analogue, removing paths and connected crystals must leave fewer odd-path independent setups than removed paths for coincident counts to occur.If more odd setups require photons than paths were removed, not every setup receives a photon and the full coincidence count cannot occur.Source: Figure 10 · p. 10

Appendix VII. From Graph to Experimental Setup

The paper demonstrates how a graph can be translated into an optical experiment by adding detectors and crystal layers according to the graph’s edges.

  • The appendix illustrates the construction and path wiring for one specific random graph from the main text.Source: Appendix VII. From Graph to… · p. 11
  • A random graph is converted into an experimental setup by treating graph edges as crystals and constructing the setup layer by layer.The construction begins with detectors and the first crystal row, followed by the remaining crystal layers.Source: Figure 11 · p. 11
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