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Hauptverfasser: Chin, Seungbeom, Munro, William John
Format: Preprint
Veröffentlicht: 2023
Schlagworte:
Online-Zugang:https://arxiv.org/abs/2306.15148
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author Chin, Seungbeom
Munro, William John
author_facet Chin, Seungbeom
Munro, William John
contents Graph states are central resources for quantum information processing, supporting applications in computation, communication, and error correction. In photonic systems, they are typically assembled from smaller entangled states using probabilistic fusion gates, which demand many photons and suffer from low success rates. We present an optimized scheme for directly generating caterpillar graph states (CGSs) -- essential resource states for constructing high-dimensional lattice graph states -- using only single-photon sources, linear optics, and heralded measurements. Based on the linear quantum graph (LQG) picture, our method produces CGSs efficiently and scalably. For CGSs of length $l\ge 3$, it requires $l-2$ fewer photons and achieves a success rate $2^{l-2}$ times higher than fusion-based approaches. These results demonstrate that the LQG picture provides a powerful and flexible route for realizing complex photonic graph states with minimal resources.
format Preprint
id arxiv_https___arxiv_org_abs_2306_15148
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Efficient Photonic Graph State Generation
Chin, Seungbeom
Munro, William John
Quantum Physics
Graph states are central resources for quantum information processing, supporting applications in computation, communication, and error correction. In photonic systems, they are typically assembled from smaller entangled states using probabilistic fusion gates, which demand many photons and suffer from low success rates. We present an optimized scheme for directly generating caterpillar graph states (CGSs) -- essential resource states for constructing high-dimensional lattice graph states -- using only single-photon sources, linear optics, and heralded measurements. Based on the linear quantum graph (LQG) picture, our method produces CGSs efficiently and scalably. For CGSs of length $l\ge 3$, it requires $l-2$ fewer photons and achieves a success rate $2^{l-2}$ times higher than fusion-based approaches. These results demonstrate that the LQG picture provides a powerful and flexible route for realizing complex photonic graph states with minimal resources.
title Efficient Photonic Graph State Generation
topic Quantum Physics
url https://arxiv.org/abs/2306.15148