Technology Road Mapping for Quantum Computing and Engineering 1st Edition by Brojo Kishore Mishra ISBN 1799891844 9781799891840

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ISBN 10: 1799891844 
ISBN 13: 9781799891840
Author: Brojo Kishore Mishra

Quantum computing is radically different from the conventional approach of transforming bit-strings from one set of zeros and ones to another. With quantum computing, everything changes. The physics used to understand bits of information and the devices that manipulate them are vastly different. Quantum engineering is a revolutionary approach to quantum technology. Technology Road Mapping for Quantum Computing and Engineering explores all the aspects of quantum computing concepts, engineering, technologies, operations, and applications from the basics to future advancements. Covering topics such as machine learning, quantum software technology, and technology road mapping, this book is an excellent resource for data scientists, engineers, students and professors of higher education, computer scientists, researchers, and academicians.

Technology Road Mapping for Quantum Computing and Engineering 1st Table of contents:

Chapter 1: Introduction and Beginners Guide to Quantum Computing
ABSTRACT
INTRODUCTION
1. BUILDING QUANTUM COMPUTER
2. STRENGTH OF QUANTUM COMPUTERS
3. DIMENSIONS OF QUANTUM COMPUTING
4. CONCLUSION
REFERENCES
Chapter 2: An Introductory Study to Quantum Programming
ABSTRACT
INTRODUCTION
FROM CLASSICAL COMPUTERS TO QUANTUM COMPUTERS
UNDERSTANDING THE QUBITS
DIFFERENT APPROACHES TO CREATE QUANTUM COMPUTERS
CONCLUSION
REFERENCES
KEY TERMS AND DEFINITIONS
Chapter 3: Recent Developments in Quantum Computing and Their Challenges
ABSTRACT
INTRODUCTION
QUANTUM COMPUTING
CHALLENGES IN QUANTUM COMPUTING
CONCLUSION
REFERENCES
Chapter 4: A Taxonomy of Quantum Computing Algorithms
ABSTRACT
1. INTRODUCTION
2. QUANTUM EVOLUTIONARY ALGORITHM (QEA)
3. REAL-CODED QUANTUM-INSPIRED EVOLUTIONARY ALGORITHM
4. QUANTUM INSPIRED PARTICLE SWARM OPTIMIZATION
5. SOME OF THE OTHER ALGORITHMS
6. TAXONOMY OF QUANTUM
7. OPEN RESEARCH CHALLENGES AND FUTURE DIRECTIONS
8. CONCLUSION
REFERENCES
KEY TERMS AND DEFINITIONS
APPENDIX
Chapter 5: A Review on Applications of Quantum Computing in Machine Learning
ABSTRACT
1. INTRODUCTION
2. LITERATURE REVIEW
3. SOME BASIC CONCEPTS
4. APPROACHES TO ENHANCE MACHINE LEARNING THROUGH QUANTUM COMPUTING
5. APPLICATIONS OF QUANTUM COMPUTERS IN MACHINE LEARNING
6. CONCLUSION
REFERENCES
KEY TERMS AND DEFINITIONS
Chapter 6: The Potential of Quantum Computing in Healthcare
ABSTRACT
INTRODUCTION
FEW USE CASES – QUANTUM COMPUTING – HEALTHCARE
QUANTUM COMPUTING POWERED BY ARTIFICIAL INTELLIGENCE
APPLICATIONS- QUANTUM COMPUTING AND AI
QUANTUM ALGORITHM –CT SCAN –COVID 19 PATIENT
QUANTUM CIRCUIT- TRANSFER LEARNING – COVID- 19 DETECTION
CONCLUSION
REFERENCES
KEY TERMS AND DEFINITIONS
ADDITIONAL NOTES ON WHY NET ZERO CARBON EMISSIONS
Chapter 7: Quantum Software Engineering and Technology
ABSTRACT
INTRODUCTION
BACKGROUND
CONCLUSION
REFERENCES
KEY TERMS AND DEFINITIONS
APPENDIX
Chapter 8: Simulation of Bloch Sphere for a Single Qubit
ABSTRACT
INTRODUCTION
BACKGROUND
MODEL CONCEPTUALISATION
SOLUTIONS AND RECOMMENDATIONS
VERIFICATION AND VALIDATION
FUTURE RESEARCH DIRECTIONS
CONCLUSION
REFERENCES
KEY TERMS AND DEFINITIONS
APPENDIX
Chapter 9: Hidden Treasures of Semiconducting Materials for Quantum Computing
ABSTRACT
1. INTRODUCTION
2. GENERAL CONSIDERATION
3. THE ROLE OF SEMICONDUCTING MATERIALS IN QUANTUM COMPUTING
4. DIFFERENT TYPES OF SEMICONDUCTING MATERIALS USED IN QUANTUM COMPUTING
5. MANIPULATION OF MATERIAL PROPERTIES FOR SUPER COMPUTING
6. RECENT ADVANCES

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