Synergistic Integration of Quantum and Classical Machine Learning Models for High-Fidelity Asteroid Hazard Detection

Vayadande, Kuldeep; Bodhe, Yogesh; Bhosle, Amol A.; Sultanpure, Kavita; Yadav, Geetanjali; Patil, Ajit R.; Chavhan, Jyoti Jayesh; Jadhav, Amolkumar N.; Bailke, Preeti

Synergistic Integration of Quantum and Classical Machine Learning Models for High-Fidelity Asteroid Hazard Detection

Vayadande, Kuldeep and Bodhe, Yogesh and Bhosle, Amol A. and Sultanpure, Kavita and Yadav, Geetanjali and Patil, Ajit R. and Chavhan, Jyoti Jayesh and Jadhav, Amolkumar N. and Bailke, Preeti (2025) Synergistic Integration of Quantum and Classical Machine Learning Models for High-Fidelity Asteroid Hazard Detection. EAI Endorsed Transactions on Internet of Things.

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Abstract

This research investigates the use of quantum machine learning (QML) to classify asteroids into non-hazardous and hazardous groups, which yields successful results in detecting the hazard. In addition to the complexity involved in analyzing orbits and physical objects, QML performs better than tradi

Item Type:	Article
Date Deposited:	04 Mar 2026 18:32
Last Modified:	10 Apr 2026 22:53
URI:	http://eprints.eai.eu/id/eprint/52917

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