Abstract

Graph states are ubiquitous in quantum information with diverse applications ranging from quantum network protocols to measurement based quantum computing. Here we consider the question whether one graph (source) state can be transformed into another graph (target) state, using a specific set of quantum operations (LC + LPM + CC): single-qubit Clifford operations (LC), single-qubit Pauli measurements (LPM) and classical communication (CC) between sites holding the individual qubits. This question is of interest for effective routing or state preparation decisions in a quantum network or distributed quantum processor and also in the design of quantum repeater schemes and quantum error-correction codes. We first show that deciding whether a graph state |G⟩ can be transformed into another graph state |G′⟩ using LC + LPM + CC is -complete, which was previously not known. We also show that the problem remains NP-complete even if |G′⟩ is restricted to be the GHZ-state. However, we also provide efficient algorithms for two situations of practical interest. Our results make use of the insight that deciding whether a graph state |G⟩ can be transformed to another graph state |G′⟩ is equivalent to a known decision problem in graph theory, namely the problem of deciding whether a graph G′ is a vertex-minor of a graph G. The computational complexity of the vertex-minor problem was prior to this paper an open question in graph theory. We prove that the vertex-minor problem is -complete by relating it to a new decision problem on 4-regular graphs which we call the semi-ordered Eulerian tour problem.

Highlights

  • A key concept in realizing quantum technologies is the preparation of specific resource states, which enable further quantum processing

  • Results and proof techniques In this paper we determine the computational complexity of VERTEXMINOR and of QUBITMINOR

  • We have shown that deciding if a graph state |G can be obtained from another graph state |G using LC + LPM + CC is NP-complete, by showing that VERTEXMINOR is NP-complete

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Summary

Introduction

A key concept in realizing quantum technologies is the preparation of specific resource states, which enable further quantum processing. Many quantum network protocols first ask to prepare a specific resource state that is shared amongst the network nodes, followed by measurements and exchange of classical communication (CC). The simplest instance of this concept is quantum key distribution [3, 21], in which we first produce a maximally entangled state, followed by random measurements. Measurement-based quantum computing [41] proceeds by first preparing the quantum device in a large resource state, followed by measurements on the qubits. An important class of such resource states are graph states These states can be described by a simple undirected and unweighted graph where the vertices correspond to the qubits of the state [29]. The graph state of a given graph is formed by initializing each qubit v

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