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PQ Key amp;#x2014; A novel key generation algorithm for processing big data using quantum computing

机译:PQ键— 一种用于使用量子计算处理大数据的新型键生成算法

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This paper proposes combining the concepts of quantum computing and big data. The idea of using the concept of quantum computing for processing the big data is suggested. Quantum computing is the advanced computing technology where we think ahead of our conventional binary bits. This is based on the quantum physics which states that a material can be at more than one place at a time. This concept, when used in our conventional computing systems, will have the third bit called the superimposed bit that can be in two states at a time. The term big data is used to refer to the huge amounts of data collected. The data being collected is increasing exponentially. According to a study conducted by McKinsey Global Institute, the data volume is growing 40% every year; and with the increasing number of users and research areas, one can expect much more growth in the data volume. With this kind of growing data, the need arises for faster processing and analysis methods giving better performance to the end users and the analytics. In this paper, a new algorithm, named as PQ-Key, is proposed for processing the big data using quantum computing.
机译:本文建议结合量子计算和大数据的概念。建议使用用于处理大数据的量子计算概念的想法。 Quantum Computing是我们在传统二进制位领先地思考的先进计算技术。这是基于量子物理学,这些物理学指出材料一次可以在不止一个地方。当在我们的传统计算系统中使用时,这一概念将具有称为叠加位的第三位,可以一次在两个状态中。术语大数据用于指收集的大量数据。收集的数据是指数增长的。根据麦肯锡全球研究所进行的一项研究,数据量每年增长40%;随着用户和研究领域的越来越多,人们可以期望数据量的增长更大。通过这种越来越多的数据,需要更快地处理和分析方法,为最终用户和分析提供更好的性能。在本文中,提出了一种名为PQ-key的新算法,用于使用量子计算处理大数据。

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