Objective: The primary objective of this research is to analyze the capabilities of Quantum Information Theory (QIT) in improving information retrieval processes. The study seeks to address how the fundamental principles of quantum mechanics can be leveraged to overcome the challenges inherent in traditional information retrieval systems.
Methodology: This study was conducted using a library method with an analytical-review approach. Through a comprehensive review of theoretical literature, the foundational concepts of QIT were identified, and their conceptual and practical relevance to the field of information retrieval were systematically analyzed.
Findings: The findings indicate that Quantum Information Theory, through concepts such as superposition and entanglement, provides a new framework for information representation, processing, and retrieval. The application of phenomena like quantum algorithms and quantum error correction can significantly increase the accuracy and speed of information retrieval. By unifying the representation, ranking, and cognitive aspects of the user, this approach offers solutions for developing more dynamic and context-aware systems.
Conclusion: Despite existing technical and theoretical obstacles, Quantum Information Theory holds the potential to fundamentally transform the field of information retrieval. It is anticipated that with continued research in this area, innovative technologies based on quantum principles will be developed, leading to enhanced efficiency, security, and precision in future information retrieval systems.