Abstract
Quantum computing is a very novel approach to computing as compared to the traditional computing approach and is increasingly being preferred and used in modern information institutions and multinational companies for their advanced computations of big data and their analytical purposes. Shor’s and Grover’s algorithms are two very well-known and popular quantum computing algorithms particularly used in cryptography, databases, and information retrieval, and there are many more in development. Information retrieval system (IRS) is a very popular and enhanced mechanism of retrieving various formats of data having vector, probabilistic, and Boolean Approaches. Probabilistic approach is the hottest topic of the current time. In this paper, our approach would be combining quantum computing features like quantum entanglement, quantum gates, qubits, and algorithms. We are trying to prepare a computationally advanced Quantum-Based IRS that would not only increase the accuracy but also improve the precision with which data can be retrieved efficiently.
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Mehta, M., D’souza, J., Karia, M., Kadam, V., Lad, M., Therese, S.S. (2024). From Classical to Quantum: Evolution of Information Retrieval Systems. In: Lanka, S., Sarasa-Cabezuelo, A., Tugui, A. (eds) Trends in Sustainable Computing and Machine Intelligence. ICTSM 2023. Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-99-9436-6_21
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DOI: https://doi.org/10.1007/978-981-99-9436-6_21
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