发表机构
The Australian National University; University of Queensland（澳大利亚国立大学; 昆士兰大学）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
提出全光学方案，利用量子非破坏性相互作用和光子数测量，以近单位概率制备大振幅猫态，无需后选择，且对光子损耗鲁棒，为高效量子纠错铺路。
AI 中文摘要
Gottesman-Kitaev-Preskill编码已成为连续变量容错量子计算的主要候选方案。对于光子架构而言，主要挑战在于制备高质量的资源态，这些资源态可以通过许多大振幅猫态确定性合成。迄今为止，实验上仅制备了规模适中的光学猫态，且所采用的方法具有高度概率性。我们提出了一种全光学方案，利用量子非破坏性相互作用和光子数测量，以接近单位概率制备大振幅猫态。重要的是，不后选择特定的光子数结果：所有结果都对累积光子数有贡献，协议重复进行直到达到所需阈值。我们证明了该方案对光子损耗（光学系统中的主要误差来源）的现实水平具有鲁棒性。我们的结果凸显了主动高斯操作在态制备中的威力，并为使用玻色子码进行高效量子纠错铺平了道路。
英文摘要
The Gottesman-Kitaev-Preskill encoding has emerged as a leading candidate for fault-tolerant quantum computation with continuous variables. For photonic architectures, the major challenge is preparing high-quality resource states, which can be deterministically synthesised from many large-amplitude cat states. Thus far, only modest-sized optical cat states have been prepared experimentally, and the implemented methods are highly probabilistic. We propose an all-optical scheme utilising quantum non-demolition interactions and photon-number measurements to prepare large-amplitude cat states with near-unity probability. Importantly, no particular photon-number outcome is postselected: all outcomes contribute to the accumulated photon number, with the protocol repeated until a required threshold is reached. We demonstrate that the scheme is robust to realistic levels of photon-loss, the dominant source of error in optical systems. Our results highlight the power of active Gaussian operations for state preparation and pave the way for efficient quantum error correction using bosonic codes.
Comments15 pages, 10 figures
