论文标题
生成大规模连续变量的群集状态在时间和频域上多路复用
Generation of large-scale continuous-variable cluster states multiplexed both in time and frequency domains
论文作者
论文摘要
基于基于测量的量子计算（MBQC），在量子信息处理中需要大规模连续变量（CV）群集状态。特别是，在时间域中生成大规模的CV群集状态多路复用更容易实现，并且在实验中具有强大的可扩展性。在这里，一维（1D）大规模的双轨CV群集状态在时间和频域上都产生了同时产生的频域，可以通过将两个时间 - 时间段NOPA系统与光束拼写器结合到三维（3D）CV群集状态。结果表明，并行阵列的数量取决于相应的频率梳线，每个阵列的部分数量可能非常大（百万），并且3D群集状态的比例可以是超大的。该方案提供了一些特殊结构的CV群集状态，这对于混合域的量子计算很有价值。
Large-scale continuous variable (CV) cluster state is necessary in quantum information processing based on measurement-based quantum computing (MBQC). Specially, generating large-scale CV cluster state multiplexed in time domain is easier to implement and has strong scalability in experiment. Here one-dimensional (1D) large-scale dual-rail CV cluster states multiplexed both in time and frequency domains are parallelly generated, which can be further extended to three-dimensional (3D) CV cluster state by combining two time-delay NOPA systems with beamsplitters. It is shown that the number of parallel arrays depends on the corresponding frequency comb lines and the partite number of each array can be very large (million), and scale of the 3D cluster state can be ultra-large. This scheme provides some special-structured CV cluster states, which will be valuable for quantum computing of hybrid domains.
