Quantum Data Structures for Efficient Information Retrieval in AI Systems

Amit Karbhari Mogal, Sandeep Bharti

Published Dec 7, 2024• 0 citations

Abstract

The rapid advancement of quantum computing presents unprecedented opportunities for transforming information retrieval systems, specifically through the development of quantum algorithms and data structures. This chapter explores the innovative applications of quantum algorithms, such as Grover's search and quantum hashing, which offer substantial improvements in processing speed and efficiency over classical counterparts. Additionally, the integration of quantum data structures, including quantum trees and databases, enhances data management capabilities by leveraging quantum phenomena like superposition and entanglement. The chapter also addresses critical challenges, including scalability, error rates, and security concerns, which must be overcome to fully harness the potential of quantum technologies. By examining case studies across various industries, this work highlights practical implementations and the future trends shaping the evolution of information retrieval in the quantum era. The insights presented herein underscore the transformative impact of quantum computing on data processing, ultimately paving the way for next-generation information retrieval systems.

DOI: 10.71443/9788197933646-11

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