减少误差的元表面随机测量方案

Hang Ren, Yipei Zhang, Ze Zheng, Cuifeng Ying, Lei Xu, Mohsen Rahmani, K. Birgitta Whaley
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引用次数: 0

摘要

通过随机测量来估计量子态的属性已成为量子信息科学的重要组成部分。在本文中,我们设计了一种利用元表面对光子量子比特进行随机测量的创新方法,以及抑制现实元表面测量噪声的误差缓解技术。通过保真度和纯度估计,我们证实了元表面实现随机测量的能力,以及我们的误差缓解估计器的无偏性。我们的研究结果表明,基于元表面的随机测量方案在实现量子态属性的稳健和资源节约型估计方面具有潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Error mitigated metasurface-based randomized measurement schemes
Estimating properties of quantum states via randomized measurements has become a significant part of quantum information science. In this paper, we design an innovative approach leveraging metasurfaces to perform randomized measurements on photonic qubits, together with error mitigation techniques that suppress realistic metasurface measurement noise. Through fidelity and purity estimation, we confirm the capability of metasurfaces to implement randomized measurements and the unbiased nature of our error-mitigated estimator. Our findings show the potential of metasurface-based randomized measurement schemes in achieving robust and resource-efficient estimation of quantum state properties.
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