Volume : 6, Issue : 6, June - 2017

Quantum Computing Approach for Big Data

Siddhartha Sankar Biswas, Parul Agarwal

Abstract :

<p>&nbsp;<span style="font-size:12.0pt;font-family:&quot;Times New Roman&quot;,serif;&#10;mso-fareast-font-family:Calii;mso-fareast-theme-font:minor-latin;mso-bidi-theme-font:&#10;minor-bidi;mso-ansi-language:EN-US;mso-fareast-language:EN-US;mso-bidi-language:&#10;AR-SA">Quantum computing presently at baby stage, even inferior to that. It is expected that by the year 2025, a first version of quantum computer may be developed by the computer scientists. In this paper the author explains that quantum computer may easily deal with big data without using Hadoop or ADS of r-atrain.&nbsp; In Hadoop or in ADS, the space complexity is resolved using distributed system with a centralized master link.&nbsp; These require a number of machines to constitute the distributed system. But this problem of space complexity of today&rsquo;s scenario for handling big data will be no more any issue in quantum computers. A huge amount of parallelism in processing the big data can be possible using quantum computers</span></p>