2 An exploration of quantum computing: concept, architecture, and innovative applications
-
Neera Batra
Abstract
Recent interest in quantum computing has grown due to its potential to transform information processing. This chapter covers quantum computing’s fundamentals, complicated architecture, and breakthrough applications. This research begins with a quantum physics lesson and then explores quantum computing fundamentals like superposition and entanglement. It then analyzes gate-based quantum computers, quantum annealers, and hybrid quantum-classical systems. Beyond theory and technology, this study examines quantum computing’s growing list of novel applications. This chapter illuminates quantum computing’s theoretical roots and practical applications and seeks to improve understanding of quantum technology and its consequences for research, industry, and society by examining its current condition and future prospects.
Abstract
Recent interest in quantum computing has grown due to its potential to transform information processing. This chapter covers quantum computing’s fundamentals, complicated architecture, and breakthrough applications. This research begins with a quantum physics lesson and then explores quantum computing fundamentals like superposition and entanglement. It then analyzes gate-based quantum computers, quantum annealers, and hybrid quantum-classical systems. Beyond theory and technology, this study examines quantum computing’s growing list of novel applications. This chapter illuminates quantum computing’s theoretical roots and practical applications and seeks to improve understanding of quantum technology and its consequences for research, industry, and society by examining its current condition and future prospects.
Chapters in this book
- Frontmatter I
- Preface V
- Contents VII
- 1 Quantum computing: a paradigm shift from conventional computing 1
- 2 An exploration of quantum computing: concept, architecture, and innovative applications 21
- 3 Quantum machine learning in healthcare: diagnostics and drug discovery 39
- 4 Quantum machine learning in finance 65
- 5 Crucial role of blockchain in quantum computing: enhancing security and trust 79
- 6 Algorithmic exploration of unveiling fault tolerance in quantum machine learning 103
- 7 Quantum machine learning in renewable energy systems 131
- 8 Decentralized quantum machine learning: distributed quantum computing for enhanced learning 149
- 9 Quantum reinforcement learning: decision-making in quantum environments 171
- 10 Quantum machine learning in natural language processing: opportunities and challenges 199
- 11 Unveiling intelligence: exploring variational quantum circuits as machine learning models 217
- 12 Methods and tools to improve quantum software quality: a survey 245
- 13 Quantum-enhanced neural networks: bridging the quantum algorithm and machine learning 273
- 14 Future trends and research horizons in quantum machine learning 293
- Biographies 321
- Index 323
Chapters in this book
- Frontmatter I
- Preface V
- Contents VII
- 1 Quantum computing: a paradigm shift from conventional computing 1
- 2 An exploration of quantum computing: concept, architecture, and innovative applications 21
- 3 Quantum machine learning in healthcare: diagnostics and drug discovery 39
- 4 Quantum machine learning in finance 65
- 5 Crucial role of blockchain in quantum computing: enhancing security and trust 79
- 6 Algorithmic exploration of unveiling fault tolerance in quantum machine learning 103
- 7 Quantum machine learning in renewable energy systems 131
- 8 Decentralized quantum machine learning: distributed quantum computing for enhanced learning 149
- 9 Quantum reinforcement learning: decision-making in quantum environments 171
- 10 Quantum machine learning in natural language processing: opportunities and challenges 199
- 11 Unveiling intelligence: exploring variational quantum circuits as machine learning models 217
- 12 Methods and tools to improve quantum software quality: a survey 245
- 13 Quantum-enhanced neural networks: bridging the quantum algorithm and machine learning 273
- 14 Future trends and research horizons in quantum machine learning 293
- Biographies 321
- Index 323
