Quantum Computing In Big Data
Volume 4 - Issue 4, April 2020 Edition
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We live in a world which celebrates data intrusion at all levels. We like to see data generated and imbibed. We also need order where efficiency in data handling is desired. So big data was envisaged to make data look relevant and be managed. The extent of data created is large. We would not be able to handle such a amount of data if we do not create placeholders. For placeholders to work we need better data encoding. For encoders to go we need level adept handlers. Quantum computing steps in. It gives enormous data handlers and it makes big data look simpler. When we have quantum coding to the necessary we live in world where we are able to achieve data sufficiency.
 Montanaro Ashley Quantum algorithms: an overview npj Quantum Information volume 2, Article number: 15023 (2016)
 R. Akis and D. K. Ferry Quantum waveguide array generator for performing Fourier transforms: Alternate route to quantum computing Appl. Phys. Lett. 79, 2823 (2001)
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