假设一个量子数据集

Harvard data science review Pub Date : 2022-01-27 DOI:10.1162/99608f92.69c5328d

M. Kieferová, Y. Sanders

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引用次数: 1

摘要

．数据处理算法通常要求以易于访问或可按需准备的适当结构来准备数据。量子计算机从存储和操纵量子叠加中获得能量，并可能加速数据科学任务。然而，它们通常需要以编码非量子数据集的量子态形式输入。在这里，我们描述了一些为量子计算机使用而编码非量子数据的挑战

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Assume a Quantum Dataset

. Data-processing algorithms often require that the data is prepared in appropriate structures that are readily accessible or can be prepared on demand. Quantum computers derive their power from storing and manipulating quantum superpositions and could potentially speed up data science tasks. However, they often require input in the form of a quantum state that encodes a nonquantum data set. Here we describe some of the challenges of encoding nonquantum data for use by quantum computers

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Harvard data science review

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