连续变量非高斯态测量中的时间限制与数字数据处理
Temporal limitations and digital data processing in continuous variable measurements of non-Gaussian states
AI总结：
本文研究了连续变量非高斯态测量中，检测链的时间性能和数字数据处理对态重建质量的影响。
摘要：
非高斯量子态和操作是利用光作为信息载体的多种量子信息协议中的关键工具。在这一背景下，连续波光操作方案起着关键作用，其中非高斯态通过光子子减法/加法获得，最终通过量子态层析技术重建。在这些配置中，混频检测的时间分辨率和数字数据处理严重地影响我们对所产生非高斯态的忠实重建能力。在本工作中，我们利用数字数据处理对实验数据进行研究，探讨检测链的时间性能如何影响层析数据的获取和处理。这使我们能够理解这些特性如何影响非理想检测链观测到的量子态质量。通过这样做，我们讨论了实际限制对非高斯态获取和重建的约束，考虑了现实实验资源的局限性。
英文摘要：
Non-Gaussian quantum states and operations are essential tools for multiple quantum information protocols exploiting light as information career. In this context, a key role is played by schemes operating with continuous wave light, in which non-Gaussian states are obtained by photon subtraction/addition and eventually reconstructed by quantum state tomography. In these configurations, the temporal resolution of the homodyne detection and the digital data processing critically affect our ability to faithfully reconstruct the produced non-Gaussian states. In this work, we apply digital data processing to experimental data to study how the temporal performances of the detection chain affect the acquisition and treatment of tomographic data. This allows understanding how these features impact the quality of quantum states observed by non-ideal detection chains. By doing so, we discuss the actual constraints on the acquisition and reconstruction of non-Gaussian states by taking into account the limitations of realistic experimental resources.
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