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Investigations on the Swiftness of a Quantum and a Classical Processor
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Author(s): Sumathi Rajyam (SASTRA University, India), N. R. Raajan (SASTRA University, India), G. Samyuktha (SASTRA University, India), V. Priyadharshini (SASTRA University, India)and M. Sindhujaa (SASTRA University, India)
Copyright: 2023
Pages: 32
Source title:
Perspectives on Social Welfare Applications’ Optimization and Enhanced Computer Applications
Source Author(s)/Editor(s): Ponnusamy Sivaram (G.H. Raisoni College of Engineering, Nagpur, India), S. Senthilkumar (University College of Engineering, BIT Campus, Anna University, Tiruchirappalli, India), Lipika Gupta (Department of Electronics and Communication Engineering, Chitkara University Institute of Engineering and Technology, Chitkara University, India)and Nelligere S. Lokesh (Department of CSE-AIML, AMC Engineering College, Bengaluru, India)
DOI: 10.4018/978-1-6684-8306-0.ch013
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Abstract
The cutting-edge technologies cloud computing and IoT are taking an upper hand in every domain. A huge and wide variety of data is being handled and processed by clouds. The cloud federation technique further adds up to this. In the coming years, quantum computers will replace the conventional computers. Pulling out particular data from the gigantic data set processed by clouds in a conventional computer would take a considerable amount of time. In the chapter, Grover's algorithm, a search algorithm, is implemented on traditional computers on IBM quantum simulator and also on QUIRK quantum simulator. Three qubit data is considered in the proposed scheme. The objective of this chapter is to compare the execution time taken to run the Grover's algorithm on IBM and Quirk quantum simulators and on classical computers. The work carried out proves that quantum computer execution speed is high compared to the classical counterpart. This could be effectively used in the future in searching for specific data from a mammoth data set using quantum simulators.
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