Graph state extraction from two-dimensional cluster states
Julia Freund, Alexander Pirker, Lina Vandré, Wolfgang Dür
TL;DR
The paper tackles the problem of extracting arbitrary graph states from a pre-existing two-dimensional cluster state using only single-qubit measurements and local unitaries. It introduces two graph-state manipulation tools—merging of subgraphs and vertex-degree expansion—and the zipper scheme to connect distant vertices, enabling three extraction strategies (two decentralized variants and centralized MBQC-based generation) and overhead comparisons. It develops decentralized LVDE and OVDE methods and a centralized MBQC-based approach, and compares their resource costs across target graphs, highlighting tradeoffs between flexibility and overhead. The work discusses scalability limits, the NP-complete nature of related graph-transformation problems, resilience to noise, and practical applications in entanglement-based networks and distributed quantum computing.
Abstract
We propose schemes to extract arbitrary graph states from two-dimensional cluster states by locally manipulating the qubits solely via single-qubit measurements. We introduce graph state manipulation tools that allow one to increase the local vertex degree and to merge subgraphs. We utilize these tools together with the previously introduced zipper scheme that generates multiple edges between distant vertices to extract the desired graph state from a two-dimensional cluster state. We show how to minimize overheads by avoiding multiple edges, and compare with a local manipulation strategy based on measurement-based quantum computation together with transport. These schemes have direct applications in entanglement-based quantum networks, sensor networks, and distributed quantum computing in general.
