论文标题
经典数据的基于电路的量子随机访问存储器具有连续幅度
Circuit-based quantum random access memory for classical data with continuous amplitudes
论文作者
论文摘要
在几个量子计算应用程序中，需要将数据加载数据。没有有效的加载过程，初始化算法的成本可以主导整体计算成本。名为FF-QRAM的基于电路的量子随机访问存储器可以使用计算成本O（CMN）加载M n位模式，以加载C的连续数据，其中C依赖数据分布。在这项工作中，我们提出了一种策略，以使用计算成本O（MN）而无需选择后进行连续数据。所提出的方法基于概率量子内存，一种在量子设备中加载二进制数据的策略以及使用标准量子门加载FF-QRAM，并且适合嘈杂的中间尺度量子计算机。
Loading data in a quantum device is required in several quantum computing applications. Without an efficient loading procedure, the cost to initialize the algorithms can dominate the overall computational cost. A circuit-based quantum random access memory named FF-QRAM can load M n-bit patterns with computational cost O(CMn) to load continuous data where C depends on the data distribution. In this work, we propose a strategy to load continuous data without post-selection with computational cost O(Mn). The proposed method is based on the probabilistic quantum memory, a strategy to load binary data in quantum devices, and the FF-QRAM using standard quantum gates, and is suitable for noisy intermediate-scale quantum computers.
