Quantum Computing in Cybersecurity

7Artificial Intelligence and Qubit-Based Operating Systems: Current Progress and Future Perspectives

Tejashwa Agarwal¹ and Amit Kumar Tyagi²*

¹School of Computer Science and Engineering, Vellore Institute of Technology, Chennai, Tamil Nadu, India

²Department of Fashion Technology, National Institute of Fashion Technology, New Delhi, Delhi, India

Abstract

With operating systems being at the heart of any computer system, hours of engineering endeavors and research have been put into their development. With the ever-changing nature of the hardware and software in this day and age, it is essential that we aim for the development of OS that are not merely suited for general purposes but also have the capacity of specializing in different functionalities. Artificial Intelligence is a disruptive technology aimed at making machines intelligent and giving them the power to mimic the human brain. This research paper attempts to analyze how various disciplines of Artificial Intelligence and Machine Learning algorithms, when integrated with Operating Systems, develop an intelligent and a learned OS. Such OSes are aimed at providing better management of a system’s resources and better process management via scheduling to provide the end user a very smooth experience. We shall look at the problems with the current Operating Systems, attempts being made to come up with better-suited ML algorithms (including Qubit) to integrate them with OS, the various advantages and downsides of doing so ...