论文标题
量子计算概述：离散与连续变量模型
Quantum computing overview: discrete vs. continuous variable models
论文作者
论文摘要
在这个接近中间尺度的量子时代，基于离散变量模型和线性光学模型（Photonics）QPU，云上有两种类型的近期量子设备：超导量子处理单元（QPU）。离散变量模型中的量子计算以有限的尺寸量子状态空间和无限尺寸空间中的CV模型执行。在实现量子算法时，CV模型提供了更多的量子门，这些量子门在离散变量模型中不可用。基于简历的光子量子计算机使用不同的测量方法和截止维度的概念来控制量子电路的输出向量长度的额外灵活性。
In this Near Intermediate-Scale Quantum era, there are two types of near-term quantum devices available on cloud: superconducting quantum processing units (QPUs) based on the discrete variable model and linear optics (photonics) QPUs based on the continuous variable (CV) model. Quantum computation in the discrete variable model is performed in a finite dimensional quantum state space and the CV model in an infinite dimensional space. In implementing quantum algorithms, the CV model offers more quantum gates that are not available in the discrete variable model. CV-based photonic quantum computers provide additional flexibility of controlling the length of the output vectors of quantum circuits, using different methods of measurement and the notion of cutoff dimension.
