Classification of Potentially Hazardous Asteroids Using Supervised Quantum Machine Learning

Classification of Potentially Hazardous Asteroids Using Supervised Quantum Machine Learning

Quantum computing (QC) and quantum machine learning (QML) are emerging technologies with the potential to revolutionize the way we approach complex problems in mathematics, physics, and other fields. The increasing availability of data and computing power has led to a rise in using Artificial Intell...

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Bibliographic Details
Main Authors: Rushir Bhavsar, Nilesh Kumar Jadav, Umesh Bodkhe, Rajesh Gupta, Sudeep Tanwar, Gulshan Sharma, Pitshou N. Bokoro, Ravi Sharma
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Quantum computing
quantum machine learning
qubits
quantum gates
entanglement
astronomy
Online Access:https://ieeexplore.ieee.org/document/10188662/

Internet

https://ieeexplore.ieee.org/document/10188662/

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