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谱域簇态的高效检测

Efficient detection of spectral cluster states

M. Kalash, U. -N. Han, C. Roh, M. H. M. Passos, Y. -S. Ra, M. V. Chekhova

arXiv 2610.09745首次发表:更新:

发表机构

Friedrich-Alexander Universität Erlangen-Nürnberg; Max Planck Institute for the Science of Light; Korea Advanced Institute of Science and Technology (KAIST); Centro Brasileiro de Pesquisas Físicas(弗里德里希-亚历山大大学埃尔兰根-纽伦堡分校; 马克斯·普朗克光科学研究所; 韩国高等科学技术院(KAIST); 巴西物理研究中心)

机构由 AI 辅助整理,请以论文原文为准。

AI 中文总结

本文提出利用多模光学参量放大(MOPA)高效检测谱域簇态,通过同时表征60节点双轨连续变量簇态,验证了其多部分纠缠,为可扩展高维量子信息处理提供了平台。

AI 中文摘要

多模光纠缠态是高维光子量子技术的关键资源,特别是在连续变量量子计算和量子信息处理中。充分利用其全部能力需要能够高效且同时访问大量模式及其量子关联的检测策略。多模光学参量放大(MOPA)通过在检测前放大多个正交分量提供了一种有前景的方法,使测量对后续光学损耗具有鲁棒性,同时实现宽带操作。在此,我们通过同时表征一个宽带60节点双轨连续变量簇态来展示MOPA的谱域多模能力。我们重建了跨谱模的簇态零化子,并观察到从-7.2到-6.5 dB的近均匀压缩。此外,通过评估所有相关二分上的van Loock-Furusawa准则,我们验证了整个60节点态中的真正多部分纠缠。这些结果确立了MOPA作为谱域可扩展高维量子信息处理的有前景平台。

英文摘要

Multimode entangled states of light are key resources for high-dimensional photonic quantum technologies, particularly for continuous-variable quantum computing and quantum information processing. Exploiting their full capabilities requires detection strategies that can efficiently and simultaneously access a large number of modes and their quantum correlations. Multimode optical parametric amplification (MOPA) provides a promising approach by amplifying multiple quadratures prior to detection, rendering the measurement robust against subsequent optical losses while enabling broadband operation. Here, we demonstrate the spectral multimode capability of MOPA by simultaneously characterizing a broadband 60-node dual-rail continuous-variable cluster state. We reconstruct the cluster-state nullifiers across the spectral modes and observe nearly uniform squeezing ranging from -7.2 to -6.5 dB. Furthermore, by evaluating the van Loock-Furusawa criterion across all relevant bipartitions, we verify genuine multipartite entanglement throughout the 60-node state. These results establish MOPA as a promising platform for scalable high-dimensional quantum information processing in the spectral domain.

论文原文

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