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Quantum Machine Learning: Quantum Algorithms and Neural Networks

✍ Scribed by Pethuru Raj, Houbing Herbert Song, Dac-Nhuong Le, Narayan Vyas


Publisher
De Gruyter
Year
2024
Tongue
English
Leaves
336
Category
Library

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✦ Table of Contents


Preface
Contents
1 Quantum computing: a paradigm shift from conventional computing
2 An exploration of quantum computing: concept, architecture, and innovative applications
3 Quantum machine learning in healthcare: diagnostics and drug discovery
4 Quantum machine learning in finance
5 Crucial role of blockchain in quantum computing: enhancing security and trust
6 Algorithmic exploration of unveiling fault tolerance in quantum machine learning
7 Quantum machine learning in renewable energy systems
8 Decentralized quantum machine learning: distributed quantum computing for enhanced learning
9 Quantum reinforcement learning: decision-making in quantum environments
10 Quantum machine learning in natural language processing: opportunities and challenges
11 Unveiling intelligence: exploring variational quantum circuits as machine learning models
12 Methods and tools to improve quantum software quality: a survey
13 Quantum-enhanced neural networks: bridging the quantum algorithm and machine learning
14 Future trends and research horizons in quantum machine learning
Biographies
Index


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