Quantum Computing Unleashed

Design, Models and Applications
1. Auflage 2027
ISBN: 978-1-394-46733-4
Verlag: John Wiley & Sons Inc

Buch, Englisch, 352 Seiten

Discover how quantum computing is set to revolutionize cybersecurity, drug discovery, and optimization, and gain the essential, multi-field foundation you need to lead the next technological leap.

As quantum computing continues to advance, interdisciplinary collaboration is increasingly essential for unlocking its full potential. This book offers a comprehensive exploration of this cutting-edge technology and its transformative potential across various fields. It covers fundamental concepts of quantum mechanics, quantum computing models, algorithms, and hardware architectures, providing readers with a solid foundation to understand the principles underlying quantum computation. The book delves into practical applications of quantum computing, ranging from cryptography and cybersecurity to optimization problems, drug discovery, and materials science. Through detailed case studies and examples, readers gain insights into how quantum computing can revolutionize industries and address complex real-world challenges, making it a valuable resource for individuals seeking to stay informed about the latest developments in quantum computing.

Autoren/Hrsg.

Gupta, Shiwani

Kasturiwale, Hemant

Alegavi, Sujata

Tripathi, Suman Lata

Kose, Utku

Fachgebiete

• Mathematik | Informatik EDV | Informatik EDV & Informatik Allgemein
• Mathematik | Informatik EDV | Informatik Technische Informatik Quantencomputer, DNA-Computing
• Naturwissenschaften Physik Quantenphysik

Inhaltsverzeichnis

Preface xix

1 Quantum Computing Unleashed: Design Models and Applications 1
Shiwani Gupta, Hemant Kasturiwale, Sujata Alegavi, Suman Lata Tripathi and Utku Kose

1.1 Introduction 2
1.2 Quantum Computing Design Models 3
1.3 Applications of Quantum Computing 5
1.4 Hybrid Quantum-Classical Computing 8
1.5 Challenges and Future Prospects 10
1.6 Comparison of Different Quantum Computing Approaches 11
1.7 Conclusion and Future Scope 13

2 An Introductory Bridging Approach for Quantum Computing with Artificial Intelligence 17
Tiyas Sarkar, Manik Rakhra, Gagandeep Singh Cheema, Ramandeep Sandhu and Deepika Ghai

2.1 Introduction 18
2.2 Quantum Computing Triggering Circumstances 20
2.3 Reciprocation between Quantum Computing and Artificial Intelligence 23
2.4 Quantum Computing Products: Their Emergence 24
2.5 Related Work 28
2.6 Scenario Investigations on Quantum Computing with Artificial Intelligence 33
2.7 Applications of Quantum Computing 36
2.8 Conclusion 37

3 Unveiling the Efficiency and Advantages of Quantum Algorithms: A Comparative Study 43
Kalpita Ajinkya Wagaskar and Amiya Kumar Tripathy

3.1 Introduction 43
3.2 Background 45
3.3 Proposed System 45
3.4 Implementation Details 47
3.5 Technical Concepts 49
3.6 Results and Analysis 50
3.7 Applications 51
3.8 Future Directions and Challenges 52
3.9 Conclusion 52

4 Novel Approach of Quantum Computing Models 55
Priti Subramanium, Gajanan Uttam Patil, Tushar Hrishikesh Jaware and Anna (Hanna) Karkanitsa

4.1 Introduction 56
4.2 Literature Survey 56
4.3 Objectives and Proposed Work 61
4.4 Result and Discussion 62
4.5 Launch a Quantum Application 65
4.6 Conclusion 67

5 Study of Quantum Error Correction Methods 69
Amar Shree V., Venkatesan. M. and Prabhavathy P.

5.1 Introduction 70
5.2 Problem Statement 72
5.3 Significance of Quantum Error Correction 72
5.4 Approaches for Quantum Error Correction 74
5.5 Applications and Recent Trends 79
5.6 Comparative Analysis 82
5.7 Critical Analysis 85
5.8 Challenges and Future Recommendation 86
5.9 Conclusion 87

6 Quantum Optimization Algorithms and Application 91
N. Manglani, Dhruv Solanki and Ankit Das

6.1 Introduction to Quantum Optimization 92
6.2 Classification of Quantum Optimization Algorithms 93
6.3 Quantum Optimization Algorithms 94
6.4 Conclusion 117

7 Quantum Computing in Finance: Algorithms and Applications 121
Anoop Patel, Mayank Sharma, Manasvi Nayak and Megharani Patil

7.1 Introduction 121
7.2 Methodology 122
7.3 Conclusion 160

8 Quantum Computing in Healthcare: Revolutionizing Medicine 163
Yerumbu Nandakishora, S. Prasad Jones Christydass, Avvaru Subramanyam and Ananda Babu Devarapalli

8.1 Introduction 164
8.2 Quantum Computing Applications in Healthcare 166
8.3 Challenges and Limitations 168
8.4 Conclusion

9 Medical Imaging and Diagnostics Using Quantum Computing: A New Paradigm in Healthcare 173
Mamta Meena, Priti Rumao, Soniya Khatu and Peter Correia

9.1 Introduction 174
9.2 Quantum Computing in Medical Imaging 178
9.3 Image Reconstruction 181
9.4 Noise Reduction in Medical Images 186
9.5 Pattern Recognition and Disease Detection 190
9.6 Real-Time Image Processing 193
9.7 Future Applications 196
9.8 Conclusion 196

10 Comprehensive Study and Applications of Quantum Computing for Internet of Things 199
Priti Subramanium, Gajanan Uttam Patil, Anilkumar Dulichand Vishwakarma and Tushar Hrishikesh Jaware

10.1 Introduction 200
10.2 Related Theory 201
10.3 Literature Survey 202
10.4 Objectives and Proposed Work 204
10.5 Methodology 206
10.6 Result and Discussion 210
10.7 Quantum Computing Applications for Internet of Things 212
10.8 Uses and Benefits of Quantum Computing 214
10.9 Quantum Computing Applications 214
10.10 Limitations of Quantum Computing 215
10.11 Future Scope 215
10.12 Conclusion 216

11 Diversity of Quantum Paradigms 219
Mayank Sharma and Anoop Patel

11.1 Introduction 219
11.2 Main Body/Methods 220
11.3 Quantum Turing Machine (TM) Model 226
11.4 Quantum Annealing 231
11.5 Adiabatic Quantum Computing 236
11.6 Topological Quantum Computing 241
11.7 Continuous-Variable Quantum Computing 246
11.8 Quantum Computing in Cluster States 252
11.9 Result and Discussion 259
11.10 Conclusion 261

12 Quantum Machine Learning 265
Moushumi Das, Ravinder Tonk, Vishal Jagota, Rajan Vohra and Shikha Tuteja

12.1 Introduction 266
12.2 Foundational Concepts 269
12.3 Key Algorithms in Quantum ML 272
12.4 Applications 275
12.5 Challenges 277
12.6 Latest Trends 279
12.7 Conclusion and Future Scope 281

13 Accelerating Security and Efficiency of the BIKE (Bit Flipping Key Encapsulation) through Reinforcement Learning for Industrial IoT 285
Samir Gherbi, Soumya Banerjee and Yulliwas Ameur

13.1 Introduction 286
13.2 Recent Attempts of Machine Learning 293
13.3 Background of Reinforcement Learning (RL) 294
13.4 Proposed Algorithm 298
13.5 Conclusion and Future Scope of Research 305

Glossary 306
References 308
Index 313

Über Autor(innen)

Shiwani Gupta, PhD is an Associate Professor at the Thakur College of Engineering and Technology with more than 20 years of experience. She has published one book, two patents, and more than 90 articles in national and international journals and conferences. Her areas of interest include AI, machine learning, and algorithms.

Hemant Kasturiwale, PhD is an Associate Professor and Head of the Department at the Thakur College of Engineering and Technology, Mumbai, Maharashtra. He has published more than 35 research papers in reputed journals and conferences. His research interests include robotics and automation, healthcare devices, and applications using machine learning.

Sujata Alegavi, PhD is an Associate Professor and Head of Department at the Thakur College of Engineering and Technology, Mumbai, Maharashtra. She has published more than 20 research papers in reputed journals and conferences. Her research interests include remote sensing, image processing, artificial intelligence, and deep learning.

Suman Lata Tripathi, PhD is working as a Professor at Lovely Professional University with more than 22 years of experience in academics and research. She has published more than 19 books, more than 125 research papers in refereed journals, conference proceedings, and e-books, 13 Indian patents, and four copyrights. Her area of expertise includes microelectronics device modeling and characterization, low-power VLSI circuit design, VLSI design testing, and advanced FET design for IoT.

Utku Kose, PhD is an Associate Professor at Suleyman Demirel University, Turkey. He has more than 200 publications, including articles, authored and edited books, conference proceedings, and reports. His research interests include artificial intelligence, machine ethics, artificial intelligence safety, intelligent systems for biomedical applications, intelligent optimization, and chaos theory.