International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395-0056
Volume: 12 Issue: 08 | Aug 2025
p-ISSN: 2395-0072
www.irjet.net
Potential of Quantum Computing in Information Systems Ashvini S. Kolate1, Jayesh N. Patil2, Prayag S. Patil3 1M.Sc Computer Science PO Nahata College Bhusawal, Maharashtra 425201
2B.E Electrical Engineering,Government Engineering College, Chandrapur, Maharashtra 4425071 3M.Tech Mechatronics Engineering, Vellore Institute of Technology, Vellore, Tamil Nadu 632014
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Abstract - Quantum computing is a groundbreaking
research, but also creating platforms that allow businesses to experiment with quantum algorithms through the cloud.
technology that could revolutionize how we process data. It promises faster computations, which could help solve complex problems in areas like optimization, data encryption, and machine learning. This paper looks at the current research on how quantum computing could affect information systems (IS), with a focus on areas like cybersecurity, AI, and business technology. While the potential is huge, the technology is still in its early stages. The paper also discusses the challenges in adopting quantum computing and points out the areas that need further research.
This paper aims to explore how quantum computing can impact different areas of information systems, particularly in machine learning, cybersecurity, and business ecosystems. We’ll review existing research and examine the key challenges and opportunities that come with adopting this technology. In addition, we’ll look at the socio-technical implications, focusing on how quantum computing could affect business models, IT infrastructures, and even the way companies and employees approach the future of technology. While the disruptive potential of quantum computing is clear, overcoming the obstacles to practical implementation will be crucial. This paper will not only highlight the current state of quantum computing, but also suggest important areas for future research that can help accelerate its adoption and overcome existing hurdles.
Key Words: Quantum Computing, Information Systems, Machine Learning, Cybersecurity, Optimization, Quantum Cryptography
1. INTRODUCTION Quantum computing can change how we solve complex problems in information systems (IS). At its core, quantum computing relies on the principles of quantum mechanics— the science that explains how things behave at the smallest scales, like atoms and particles. Unlike traditional computers, which use bits to represent data as either a 0 or a 1, quantum computers use qubits. Qubits are special because they can represent both 0 and 1 at the same time, thanks to a property called superposition. This allows quantum computers to handle many possibilities simultaneously, making them potentially much more powerful than classical systems when solving certain types of problems. The potential of quantum computing to revolutionize fields such as optimization, machine learning, and data security has caught the attention of researchers and businesses alike. For instance, tasks that involve sifting through huge datasets, optimizing complex systems, or breaking and creating cryptographic codes could be done much more efficiently with quantum computers. This is why there’s so much buzz about how quantum technology could transform industries, from healthcare and finance to IT services and cybersecurity. Quantum computers are costly to develop, and the specialized workforce needed to operate them is currently lacking. These factors mean that we’re still a few years away from seeing quantum computing used widely in everyday business systems. However, there are already signs that quantum computing will play an important role in shaping the future of information systems. For example, companies like IBM, Google, and Microsoft are not just conducting
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2. QUANTUM COMPUTING OVERVIEW Classical computing relies on bits that can represent either 0 or 1, performing computations based on binary logic. In contrast, quantum computing uses qubits, which can exist in multiple states simultaneously through superposition, allowing quantum computers to handle complex problems much faster and solve optimization problems, simulate molecular interactions, and process large datasets exponentially quicker. Table -1: Classical vs Quantum Computing Comparison
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Feature
Classical Computing
Quantum Computing
Data Storage
Bits (0 or 1)
Qubits (superposition of 0 & 1)
Processing Power
Limited by classical circuits
Exponentially faster with quantum gates
Parallelism
Limited (one operation at a time)
Massive parallelism due to superposition
Key Principle
Boolean logic and binary operations
Quantum mechanics (superposition, entanglement)
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