Quantum Computing to Study Cloud Turbulence Properties

Quantum Computing to Study Cloud Turbulence Properties

The analysis and investigation of the data obtained from Direct Numerical (DNS) simulation of droplet dynamics in cloud turbulence is a complex and time-consuming task when performaed on traditional computers. The DNS data generally have, a high spatial resolution <inline-formula> <tex-math...

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Bibliographic Details
Main Authors: Mukta Nivelkar, Sunil Bhirud, Manmeet Singh, Rahul Ranjan, Bipin Kumar
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Quantum computing
quantum machine learning
DNS
cloud droplet
vorticity
Online Access:https://ieeexplore.ieee.org/document/10164085/

Internet

https://ieeexplore.ieee.org/document/10164085/

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