A Comparative Study of Quantum Computing Performance in Information Systems Analysis

Abstract

The thesis will involve a comparison between quantum and classical computers to determine how quantum technology can be used to solve problems faced by modern information systems. Research on quantum technology as a solution to modern information processing challenges will help to provide solutions for some unanswered questions – whether in the field of quantum computing, information systems design, or both. Given that a real quantum computer is expensive, a bare-metal hardware approach is simply not possible for this project’s limited timeframe. Therefore, the researcher will gather the relevant data using a virtual machine designed to emulate a modern quantum system. Quantum computing research is still a developing field, but its future prospects are exciting – especially in enterprise information systems. Quantum computers, at their core, are fundamentally different from classical computers in how computational logic is handled. The differences, while not yet fully understood, allow a quantum system to achieve results in calculations that are considered impossible to solve by a classical system. Some calculations that quantum systems might face will be solvable with classical technology, but in an impractical amount of time. Quantum computers have the potential to speed up some calculations that would otherwise be considered infeasible with certain time constraints, depending on the problem’s context. Quantum research is no longer purely theoretical, with many well-known companies worldwide establishing implementation of quantum principles into their own workflows. The choice to explore quantum computer science for the thesis is an ideal opportunity to provide new insight into the effects that quantum can have on information management. Quantum systems can potentially be applied in many different contexts, and modern enterprises are eager to take advantage of their capabilities

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East Tennessee State University

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Last time updated on 16/06/2025

This paper was published in East Tennessee State University.

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