Quantum Machine Learning

Quantum Algorithms and Neural Networks

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

• Publisher: De Gruyter
• Year: 2024
• Print ISBN: 9783111342092
• eBook ISBN: 9783111342597
• Edition: 1
• Topic: Computer Science
• Subtopic: IT Industry
• Index: Computer Science

Quantum computing has shown a potential to tackle specific types of problems, especially those involving a daunting number of variables, at an exponentially faster rate compared to classical computers. This volume focuses on quantum variants of machine learning algorithms, such as quantum neural networks, quantum reinforcement learning, quantum principal component analysis, quantum support vectors, quantum Boltzmann machines, and many more.

Table of contents

• Title Page
• Copyright
• 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
• Index