1 Quantum computing: a paradigm shift from conventional computing
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Kavita Arora
Abstract
Quantum computing is a contemporary method of computation that follows the concepts of quantum mechanics. This technology is a wonderful amalgamation of physics, mathematics, computer science, and information technology. This technology imparts towering computing capacity, lessened energy demand, and mounting speed on top of conventional machines. This is accomplished by having a control on the behavior of tiny physical matter such as atoms and electrons. This chapter gives a sneak peek into the world of quantum computing and its fundamental concepts. This work also discusses the conventional mechanism of computing and augmentation and transfiguration happened due to constraints in the existing machines. After discussing this, the flow of work moves to discussion of the basic work mechanism and properties of quantum computing. This work also uncovers the hardware and software requirements, its significance, and favorable and unfavorable outcomes. This study certainly gives a deep insight into the power of this new arising technology in this competitive world.
Abstract
Quantum computing is a contemporary method of computation that follows the concepts of quantum mechanics. This technology is a wonderful amalgamation of physics, mathematics, computer science, and information technology. This technology imparts towering computing capacity, lessened energy demand, and mounting speed on top of conventional machines. This is accomplished by having a control on the behavior of tiny physical matter such as atoms and electrons. This chapter gives a sneak peek into the world of quantum computing and its fundamental concepts. This work also discusses the conventional mechanism of computing and augmentation and transfiguration happened due to constraints in the existing machines. After discussing this, the flow of work moves to discussion of the basic work mechanism and properties of quantum computing. This work also uncovers the hardware and software requirements, its significance, and favorable and unfavorable outcomes. This study certainly gives a deep insight into the power of this new arising technology in this competitive world.
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
