通用全光猫码校正
Generalised All-Optical Cat Correction
AI总结：
本文提出通用全光猫码校正协议，通过更高阶的猫码实现目标性能，减少迭代次数但增加平均光子数。引入概率校正方案，展示远距离校正能编码新变换和改变编码基。
摘要：
我们扩展了全光远距离校正协议以适用于更高阶的猫码，并展示在这些更高阶码中，我们可以在显著减少迭代次数的成本下实现目标性能，但需要更高的平均光子数。我们还引入了一种概率方案来校正状态变形，突显远距离校正的两个有趣能力：编码新的变换集和改变编码的基。我们发现，对于目标信道保真度为99.9%且信道损耗为1dB的情况，第三阶猫码需要比第一阶猫码少70倍的远距离校正迭代次数，但平均光子数增加3.6倍。
英文摘要：
We have generalised an all-optical telecorrection protocol for the higher orders of the cat code, and show that with these higher orders we can achieve target performance at substantially reduced iteration counts at the cost of a higher mean photon-number. We also introduce a probabilistic scheme for correcting deformation of the state, which highlights two interesting abilities of telecorrection: to encode new sets of transformations, and to change the basis of the code. We find that for a target channel fidelity of $99.9\%$ over a channel with $1\text{ dB}$ of loss, a third-order cat code requires $70$ times fewer telecorrection iterations than a first-order one, at a cost of a $3.6$-fold increase in mean photon-number.
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。
