Quantum Computing and Its Implications for Database Management
Author(s): Sai Kalyani Rachapalli
Publication #: 2505012
Date of Publication: 08.02.2025
Country: United States
Pages: 1-8
Published In: Volume 11 Issue 1 February-2025
DOI: https://doi.org/10.5281/zenodo.15349611
Abstract
Quantum computing, a paradigm shift from classical computing, offers unprecedented possibilities by taking advantage of quantum bits (qubits) and effects like superposition and entanglement. With the exponential increase in data, database management is becoming more and more complex, and quantum computing offers new paradigms for storage, retrieval, and query optimization. This paper examines the theoretical and practical intersections of quantum computing and database management systems (DBMS), considering possible enhancements in query execution times, indexing, cryptographic security, and transaction processing. The paper examines the computational models, reviews quantum algorithms relevant to databases like Grover's and Shor's, and assesses the state-of-the-art hardware advancements and their implications. It also examines the integration challenges, such as quantum decoherence, error correction, lack of standardized quantum database platforms, and the high learning curve for programmers. This research also introduces the possible socio-economic effects of quantum-enhanced databases, particularly in industries such as finance, healthcare, and national security. Quantum computing can not only improve current systems but also facilitate completely new types of data-driven applications that are impossible with classical methods. As quantum hardware continues to progress, quantum-compatible data structures and query languages will be critical. This study endeavors to give an in-depth review of how quantum computing will potentially transform the environment of database systems, influencing those industries that rely on massive amounts of data processing and secure data handling.
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