Evolution and Applications of Quantum Computing (eBook, PDF)

Redaktion: Mohanty, Sachi Nandan; Mohanty, Sarita; Aluvalu, Rajanikanth

• Format: PDF

Produktbeschreibung

EVOLUTION and APPLICATIONS of QUANTUM COMPUTING The book is about the Quantum Model replacing traditional computing's classical model and gives a state-of-the-art technical overview of the currentefforts to develop quantum computing and applications for Industry 4.0. A holistic approach to the revolutionary world of quantum computing is presented in this book, which reveals valuable insights into this rapidly emerging technology. The book reflects the dependence of quantum computing on the physical phenomenon of superposition, entanglement, teleportation, and interference to simplify difficult mathematical problems which would have otherwise taken years to derive a definite solution for. An amalgamation of the information provided in the multiple chapters will elucidate the revolutionary and riveting research being carried out in the brand-new domain encompassing quantum computation, quantum information and quantum mechanics. Each chapter gives a concise introduction to the topic. The book comprises 18 chapters and describes the pioneering work on the interaction between artificial intelligence, machine learning, and quantum computing along with their applications and potential role in the world of big data. Subjects include: * Combinational circuits called the quantum multiplexer with secured quantum gate (CSWAP); * Detecting malicious emails and URLs by using quantum text mining algorithms to distinguish between phishing and benign sites; * Quantum data traffic analysis for intrusion detection systems; * Applications of quantum computation in banking, netnomy and vehicular ad-hoc networks, virtual reality in the education of autistic children, identifying bacterial diseases and accelerating drug discovery; * The critical domain of traditional classical cryptography and quantum cryptography. Audience The book will be very useful for researchers in computer science, artificial intelligence and quantum physics as well as students who want to understand the history of quantum computing along with its applications and have a technical state-of-the-art overview.

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Produktdetails

• Verlag: John Wiley & Sons
• Seitenzahl: 352
• Erscheinungstermin: 24. Mai 2023
• Englisch
• ISBN-13: 9781119905165
• Artikelnr.: 68134093

Autorenporträt

Sachi Nandan Mohanty received his PhD from IIT Kharagpur, India in 2015, with MHRD scholarship from the Govt of India. He is now an associate professor, VIT-AP University, Andhra Pradesh. He has published more than 100 research articles in international journals as well as edited 24 books including many with the Wiley-Scrivener imprint. His research areas include data mining, big data analysis, cognitive science, fuzzy decision-making, brain-computer interface, cognition, and computational intelligence. Rajanikanth Aluvalu, PhD, is a professor in the Department of IT, Chaitanya Bharathi Institute of Technology, Hyderabad. He is a senior member of IEEE and his specialization is in high-performance computing. He has published 90 + research articles in peer-reviewed journals and conferences. Sarita Mohanty is an assistant professor in the Department of Master in Computer Application, Centre for Post Graduate Study, OUAT, Govt of Odisha, India. Her research areas include digital forensics and cybersecurity. She has more than 10 years of teaching experience.

Inhaltsangabe

Preface xvii

1 Introduction to Quantum Computing 1
V. Padmavathi, C. N. Sujatha, V. Sitharamulu, K. Sudheer Reddy and A. Mallikarjuna Reddy

1.1 Quantum Computation 2

1.2 Importance of Quantum Mechanics 2

1.3 Security Options in Quantum Mechanics 2

1.4 Quantum States and Qubits 3

1.5 Quantum Mechanics Interpretation 4

1.6 Quantum Mechanics Implementation 4

1.6.1 Photon Polarization Representation 4

1.7 Quantum Computation 6

1.7.1 Quantum Gates 7

1.8 Comparison of Quantum and Classical Computation 11

1.9 Quantum Cryptography 12

1.10 Qkd 12

1.11 Conclusion 12

References 13

2 Fundamentals of Quantum Computing and Significance of Innovation 15
Swapna Mudrakola, Uma Maheswari V., Krishna Keerthi Chennam and MVV Prasad Kantidpudi

2.1 Quantum Reckoning Mechanism 16

2.2 Significance of Quantum Computing 16

2.3 Security Opportunities in Quantum Computing 16

2.4 Quantum States of Qubit 17

2.5 Quantum Computing Analysis 17

2.6 Quantum Computing Development Mechanism 18

2.7 Representation of Photon Polarization 18

2.8 Theory of Quantum Computing 20

2.9 Quantum Logical Gates 21

2.9.1 I-Qubit GATE 21

2.9.2 Hadamard-GATE 22

2.9.3 NOT_GATE_QUANTUM or Pauli_X-GATE 22

2.9.3.1 Pauli_Y-GATE 23

2.9.3.2 Pauli_Z-GATE 23

2.9.3.3 Pauli_S-Gate 23

2.9.4 Two-Qubit GATE 24

2.9.5 Controlled NOT(C-NOT) 24

2.9.6 The Two-Qubits are Swapped Using SWAP_GATE 24

2.9.7 C-Z-GATE (Controlled Z-GATE) 24

2.9.8 C-P-GATE (Controlled-Phase-GATE) 25

2.9.9 Three-Qubit Quantum GATE 25

2.9.9.1 GATE: Toffoli Gate 25

2.9.10 F-C-S GATE (Fredkin Controlled Swap-GATE) 26

2.10 Quantum Computation and Classical Computation Comparison 27

2.11 Quantum Cryptography 27

2.12 Quantum Key Distribution - QKD 27

2.13 Conclusion 28

References 28

3 Analysis of Design Quantum Multiplexer Using CSWAP and Controlled-R Gates 31
Virat Tara, Navneet Sharma, Pravindra Kumar and Kumar Gautam

3.1 Introduction 32

3.2 Mathematical Background of Quantum Circuits 34

3.2.1 Hadamard Gate 34

3.2.2 CSWAP Gates 35

3.2.3 Controlled-R Gates 36

3.3 Methodology of Designing Quantum Multiplexer (QMUX) 36

3.3.1 QMUX Using CSWAP Gates 36

3.3.1.1 Generalization 37

3.3.2 QMUX Using Controlled-R Gates 37

3.4 Analysis and Synthesis of Proposed Methodology 39

3.5 Complexity and Cost of Quantum Circuits 41

3.6 Conclusion 42

References 42

4 Artificial Intelligence and Machine Learning Algorithms in Quantum Computing Domain 45
Syed Abdul Moeed, P. Niranjan and G. Ashmitha

4.1 Introduction 46

4.1.1 Quantum Computing Convolutional Neural Network 51

4.2 Literature Survey 52

4.3 Quantum Algorithms Characteristics Used in Machine Learning Problems 58

4.3.1 Minimizing Quantum Algorithm 58

4.3.2 K-NN Algorithm 58

4.3.3 K-Means Algorithm 60

4.4 Tree Tensor Networking 61

4.5 TNN Implementation on IBM Quantum Processor 62

4.6 Neurotomography 62

4.7 Conclusion and Future Scope 63

References 64

5 Building a Virtual Reality-Based Framework for the Education of Autistic Kids 67
Kanak Pandit, Aditya Mogare, Achal Shah, Prachi Thete and Megharani Patil

5.1 Introduction 68

5.2 Literat