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arXiv 2406.04736quant-ph
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光学混合纠缠的CHSH贝尔测试

CHSH Bell Tests For Optical Hybrid Entanglement

Morteza Moradi, Juan Camilo López Carreño, Adam Buraczewski, Thomas McDermott, Beate Elisabeth Asenbeck, Julien Laurat, Magdalena Stobińska

AI总结:

本文针对光学混合纠缠提出两种CHSH贝尔不等式测试方案,分别基于光子数开/关测量(需82%以上效率)和光子数宇称测量(需94%效率),无需后选择且不受公平采样假设限制,为无漏洞验证混合纠缠提供了实用途径。

摘要:

光学混合纠缠可以在两个量子比特之间产生,其中一个编码在单光子上,另一个编码在具有相反相位的相干态中。它为多种量子技术开辟了道路,例如异构量子网络、融合连续变量与离散变量编码,以及实现信息的传输与相互转换。然而,迄今为止,对这种纠缠性质的可靠表征仅限于全量子态层析成像。在此,我们对Clauser-Horne-Shimony-Holt(CHSH)贝尔不等式测试进行了深入研究,从而能够对光学混合纠缠的量子关联进行实用验证。我们表明,如果探测效率保持在82%以上,通过简单的光子数开/关测量就可以实现对该不等式的实用违背。另一种基于光子数宇称测量的方法需要94%的效率,但在较高光子布居数的极限下表现良好。这两种测试均不对测量结果进行后选择,并且不受公平采样假设的限制。我们的方案为利用相干态干涉和光子计数等可行实验任务进行无漏洞测试铺平了道路,也为在现实世界应用中验证混合纠缠奠定了基础。

英文摘要:

Optical hybrid entanglement can be created between two qubits, one encoded in a single photon and another one in coherent states with opposite phases. It opens the path to a variety of quantum technologies, such as heterogeneous quantum networks, merging continuous and discrete variable encoding, and enabling the transport and interconversion of information. However, reliable characterization of the nature of this entanglement is limited so far to full quantum state tomography. Here, we perform a thorough study of Clauser-Horne-Shimony-Holt (CHSH) Bell inequality tests, enabling practical verification of quantum correlations for optical hybrid entanglement. We show that a practical violation of this inequality is possible with simple photon number on/off measurements if detection efficiencies stay above 82%. Another approach, based on photon-number parity measurements, requires 94% efficiency but works well in the limit of higher photon populations. Both tests use no postselection of the measurement outcomes and they are free of the fair-sampling hypothesis. Our proposal paves the way to performing loophole-free tests using feasible experimental tasks such as coherent state interference and photon counting, and to verification of hybrid entanglement in real-world applications.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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