Leveraging Quantum Algorithms for Big data Analytics on Cloud Platform

We live in the data age. By big data, we mean gigantic and sophisticated data that are difficult to store and analyze using conventional computers. In this modern world, everything boils down to playing around with data. Data is produced from everything we know and from every activity we perform. It is generated from every gadget we use. Big data is vital as it makes it possible for organizations to accumulate, save, and handle colossal quantities of data at the appropriate rate and pulse in order to extract insights. Cloud platforms play a crucial role in big data analysis by providing scalable repositories, powerful computing resources, and affordable solutions for handling this enormous data. Business Intelligence, identifying trends, inferring, and predicting heavily rely on big data analytics. Nowadays, many big data analytic tools are available. However, there are still issues that cannot be solved by even the most refined conventional methods in a stipulated time. The idea of quantum computing was created to offer contemporary ordinary computers access to huge processing power. As quantum computing technology progresses rapidly, it provides a groundbreaking opportunity to enhance cloud computing platforms by carrying out these enormous workloads that classical systems cannot handle. Quantum Cloud Computing is a developing model of computing that enables quantum applications and helps users to operate on quantum computers without being restricted to a physical environment. Some findings related to the concepts of cloud computing, quantum computing, etc., are presented.