A novel quantumized Fuzzy C-medians algorithm

P. Srivastava, Manikanta Nallabelly, V. Verma
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Abstract

The term “quantization” refers to the process of using quantum mechanics in order to improve a classical algorithm, by making it run faster. In this paper, this quantization process was achieved using variations on a celebrated quantum algorithm due to Grover. Later, this approach to unsupervised learning was illustrated with a quantized version of standard clustering algorithm: Fuzzy C-Means. A significant speedup compared to the classical approach was achieved on analyzing the running time of the proposed algorithm.
一种新的量子模糊c -中位数算法
“量子化”一词指的是利用量子力学来改进经典算法的过程,使其运行得更快。在本文中,这个量子化过程是使用由Grover引起的著名量子算法的变体来实现的。后来,这种无监督学习的方法用标准聚类算法的量化版本来说明:模糊c均值。通过对算法运行时间的分析,发现该算法与传统算法相比有明显的加速。
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