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Smart city article details
| Title | Survey Of Quantum Machine Learning In Iot Application Field |
|---|---|
| ID_Doc | 53763 |
| Authors | Pradhan M. |
| Year | 2024 |
| Published | Proceedings of 5th International Conference on IoT Based Control Networks and Intelligent Systems, ICICNIS 2024 |
| DOI | http://dx.doi.org/10.1109/ICICNIS64247.2024.10823197 |
| Abstract | Due to massive interest in emerging technology for different types of computing and storing data, Quantum Computing plays a significant role. Physics based strategy like superposition, entanglement, inference, decoherence make this technology more efficient. Well structured quantum hardware provides time efficiency for different types of operation. Machine learning model, a subset of artificial intelligence, furnish predictive model for unknown data exploring training and testing mechanism. Quantum Machine Learning may upgrade classical machine learning algorithms. Running computationally expensive algorithms efficiently on a quantum computer using concepts from physics, open a new aspect. IoT provides effective data (air quality, temperature etc.), gathering from physical environment through sensor. Digital India, smart agriculture, smart city, health care, smart home, remote monitoring etc., are benefited by emerging technology, called IoT. This research is preliminary lay the cornerstone of making novice researcher interested to learn about QML in different types of IoT field. © 2024 IEEE. |
| Author Keywords | Classical computer; Entanglement; Internet of Things (IoT); QAI (Quantum-supported AI inference); Quantum computer; Quantum Machine Learning; Quantum-classical NN (Res-QCNN); Qubit; Superposition |
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