Survey of Quantum Machine Learning in IoT Application Field

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.

Authors

Publication Details

Published
2024-12-17
DOI
https://doi.org/10.1109/icicnis64247.2024.10823197
Citations
2
Primary Topic
Quantum Computing Algorithms and Architecture
Type
article
Field-Weighted Citation Impact
0.69
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article

Survey of Quantum Machine Learning in IoT Application Field

Moumita Pradhan
2 citations
Quantum Computing Algorithms and Architecture
0.69
article

Survey of Quantum Machine Learning in IoT Application Field

Moumita Pradhan
article en
2 citations

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.

Openalex Percentile: Top 22%
Quantum Computing Algorithms and Architecture
0.69
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Survey of Quantum Machine Learning in IoT Application Field — Moumita Pradhan · (2024) | TGRS Research Map | TGRS