Quantum Computing For Data Analytics
Abstract
The focus of the study lies in the transformative power of quantum computing with regard to finance, health and artificial intelligence. New algorithms enabled but quantum allow for previously unattainable speeds in complex processing. The current work is gone into references of some of these quantum algorithms among those put forward by Grover and Shor besides the assessment of the impact of each in enhancing analytics. Major challenges in term of practical implementation in real applications such as scalability and error correction-are reviewed. Future directions of research would then indicate refinement in such a way that these systems can ensure reliability and industry integration. The research identifies the heights of promise quantum computing holds for innovation to change the face of data analytics as a leading force.
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