大数据环境下基于量子计算的非结构化数据关键问题的研究

项目名称： 大数据环境下基于量子计算的非结构化数据关键问题的研究

项目编号： No.61502082

项目类型： 青年科学基金项目

立项/批准年度： 2016

项目学科： 自动化技术、计算机技术

项目作者： 李晓瑜

作者单位： 电子科技大学

项目金额： 21万元

中文摘要： 大数据的战略意义不在于掌握庞大的数据信息，而在于对这些含有意义的数据进行专业化处理；关键在于提高对数据的“加工能力”，通过“加工”实现数据的“增值”。换言之，本质是对非结构化数据的处理能力。结构化数据是按照特定格式整理的数据，它们能被企业的核心系统进行储存管理。然而，随着大数据发展的迅速，数据结构变得更加复杂，大部分数据信息都已经脱离出数据结构的范畴，属于非结构化数据。如何处理非结构化数据，是大数据的核心问题之一。.量子计算为大数据的有效处理数据提供了一条全新途径。本课题基于量子计算的高并行、安全、高效等优点，结合量子遗传算法和快速量子搜索算法，对大数据中非结构化数据进行建模、特征提取、数据聚类等。突破传统数据结构的二维表模型，并且不再局限于数据的因果关系，改而探究大数据中的关联关系。提出的非结构化数据模型，将有助于提高非结构化和半结构化数据的处理效率，提升数据的内在商业价值。

中文关键词： 量子算法；大数据；非结构化数据；量子深度学习

英文摘要： The strategic significance of Big Data isn’t the huge data, but processing the big data to obtain the meaningful information. The key point is to improve the ability of data processing. It results to implementation of value-added of big data. In another words, the essence is the processing ability of non-structured data. Structured data is in accordance with the specific format of the data, they can be stored in the core of management system. However, with the development of Big Data, the structure of data becomes more complex. Most of the data and information are from the category of classical data structure, belongs to non-structured data. How to deal with non-structured data has been one of the core issues of Big Data..Quantum computation gives a new insight of processing of Big Data. It has the advantages of high parallel, safety and efficient. Combined with these advantages of quantum computation, quantum genetic algorithms and quantum search algorithms show great values for huge non-structured data. They could be used for modeling, feature extraction and data clustering of non-structured data, and so on. We focus on these. Meanwhile, this project breaks the limitation of traditional two-dimensional table of data structure. Then it is no longer limited to the cause relationship of data, but to explore the correlation of big data. We will present new non-structured data’s model, which will help to improve the processing efficiency of non-structured and semi-structured data. Furthermore, it will promote the intrinsic value of business data.

英文关键词： Quantum Algorithm;Big Data;Non-Structured Data;Quantum Deep Learning