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Reduce data processing time in NoSQL databases based on Grover's algorithm

Published: 10 October 2018 Publication History

Abstract

In order to reduce data processing time in NoSQL databases, we propose in this paper a quantum approach to extracting information from unstructured databases. In fact, we apply Grover's algorithm instead of classical algorithms to search in NoSQL databases.

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Cited By

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  • (2022)Towards quantum-based Search for industrial Data-driven Services2022 IEEE International Conference on Quantum Software (QSW)10.1109/QSW55613.2022.00021(38-40)Online publication date: Jul-2022

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cover image ACM Other conferences
SCA '18: Proceedings of the 3rd International Conference on Smart City Applications
October 2018
580 pages
ISBN:9781450365628
DOI:10.1145/3286606
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 10 October 2018

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Author Tags

  1. Grover's algorithm
  2. NoSQL databases
  3. data mining
  4. quantum computing

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SCA '18

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Cited By

View all
  • (2022)Towards quantum-based Search for industrial Data-driven Services2022 IEEE International Conference on Quantum Software (QSW)10.1109/QSW55613.2022.00021(38-40)Online publication date: Jul-2022

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