Graph state extraction from two-dimensional cluster states
Julia Freund, Alexander Pirker, Lina Vandr\'e, Wolfgang D\"ur

TL;DR
This paper presents methods to extract arbitrary graph states from 2D cluster states using local single-qubit measurements, enabling applications in quantum networks and distributed quantum computing.
Contribution
It introduces novel graph state manipulation tools and a zipper scheme to efficiently generate desired graph states from 2D cluster states.
Findings
Minimized overheads by avoiding multiple edges
Compared with measurement-based quantum computation strategies
Demonstrated applications in quantum networks and distributed 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.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
