{"product_id":"evolution-and-applications-of-quantum-computing-9781119904861","title":"Evolution and Applications of Quantum Computing","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eEVOLUTION 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 current  efforts 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. Th\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e\u003cp\u003ePreface xvii\u003c\/p\u003e \u003cp\u003e\u003cb\u003e1 Introduction to Quantum Computing 1\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eV. Padmavathi, C. N. Sujatha, V. Sitharamulu, K. Sudheer Reddy and A. Mallikarjuna Reddy\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e1.1 Quantum Computation 2\u003c\/p\u003e \u003cp\u003e1.2 Importance of Quantum Mechanics 2\u003c\/p\u003e \u003cp\u003e1.3 Security Options in Quantum Mechanics 2\u003c\/p\u003e \u003cp\u003e1.4 Quantum States and Qubits 3\u003c\/p\u003e \u003cp\u003e1.5 Quantum Mechanics Interpretation 4\u003c\/p\u003e \u003cp\u003e1.6 Quantum Mechanics Implementation 4\u003c\/p\u003e \u003cp\u003e1.6.1 Photon Polarization Representation 4\u003c\/p\u003e \u003cp\u003e1.7 Quantum Computation 6\u003c\/p\u003e \u003cp\u003e1.7.1 Quantum Gates 7\u003c\/p\u003e \u003cp\u003e1.8 Comparison of Quantum and Classical Computation 11\u003c\/p\u003e \u003cp\u003e1.9 Quantum Cryptography 12\u003c\/p\u003e \u003cp\u003e1.10 Qkd 12\u003c\/p\u003e \u003cp\u003e1.11 Conclusion 12\u003c\/p\u003e \u003cp\u003eReferences 13\u003c\/p\u003e \u003cp\u003e\u003cb\u003e2 Fundamentals of Quantum Computing and Significance of Innovation 15\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eSwapna Mudrakola, Uma Maheswari V., Krishna Keerthi Chennam and MVV Prasad Kantidpudi\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e2.1 Quantum Reckoning Mechanism 16\u003c\/p\u003e \u003cp\u003e2.2 Significance of Quantum Computing 16\u003c\/p\u003e \u003cp\u003e2.3 Security Opportunities in Quantum Computing 16\u003c\/p\u003e \u003cp\u003e2.4 Quantum States of Qubit 17\u003c\/p\u003e \u003cp\u003e2.5 Quantum Computing Analysis 17\u003c\/p\u003e \u003cp\u003e2.6 Quantum Computing Development Mechanism 18\u003c\/p\u003e \u003cp\u003e2.7 Representation of Photon Polarization 18\u003c\/p\u003e \u003cp\u003e2.8 Theory of Quantum Computing 20\u003c\/p\u003e \u003cp\u003e2.9 Quantum Logical Gates 21\u003c\/p\u003e \u003cp\u003e2.9.1 I-Qubit GATE 21\u003c\/p\u003e \u003cp\u003e2.9.2 Hadamard-GATE 22\u003c\/p\u003e \u003cp\u003e2.9.3 NOT_GATE_QUANTUM or Pauli_X-GATE 22\u003c\/p\u003e \u003cp\u003e2.9.3.1 Pauli_Y-GATE 23\u003c\/p\u003e \u003cp\u003e2.9.3.2 Pauli_Z-GATE 23\u003c\/p\u003e \u003cp\u003e2.9.3.3 Pauli_S-Gate 23\u003c\/p\u003e \u003cp\u003e2.9.4 Two-Qubit GATE 24\u003c\/p\u003e \u003cp\u003e2.9.5 Controlled NOT(C-NOT) 24\u003c\/p\u003e \u003cp\u003e2.9.6 The Two-Qubits are Swapped Using SWAP_GATE 24\u003c\/p\u003e \u003cp\u003e2.9.7 C-Z-GATE (Controlled Z-GATE) 24\u003c\/p\u003e \u003cp\u003e2.9.8 C-P-GATE (Controlled-Phase-GATE) 25\u003c\/p\u003e \u003cp\u003e2.9.9 Three-Qubit Quantum GATE 25\u003c\/p\u003e \u003cp\u003e2.9.9.1 GATE: Toffoli Gate 25\u003c\/p\u003e \u003cp\u003e2.9.10 F-C-S GATE (Fredkin Controlled Swap-GATE) 26\u003c\/p\u003e \u003cp\u003e2.10 Quantum Computation and Classical Computation Comparison 27\u003c\/p\u003e \u003cp\u003e2.11 Quantum Cryptography 27\u003c\/p\u003e \u003cp\u003e2.12 Quantum Key Distribution – QKD 27\u003c\/p\u003e \u003cp\u003e2.13 Conclusion 28\u003c\/p\u003e \u003cp\u003eReferences 28\u003c\/p\u003e \u003cp\u003e\u003cb\u003e3 Analysis of Design Quantum Multiplexer Using CSWAP and Controlled-R Gates 31\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eVirat Tara, Navneet Sharma, Pravindra Kumar and Kumar Gautam\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e3.1 Introduction 32\u003c\/p\u003e \u003cp\u003e3.2 Mathematical Background of Quantum Circuits 34\u003c\/p\u003e \u003cp\u003e3.2.1 Hadamard Gate 34\u003c\/p\u003e \u003cp\u003e3.2.2 CSWAP Gates 35\u003c\/p\u003e \u003cp\u003e3.2.3 Controlled-R Gates 36\u003c\/p\u003e \u003cp\u003e3.3 Methodology of Designing Quantum Multiplexer (QMUX) 36\u003c\/p\u003e \u003cp\u003e3.3.1 QMUX Using CSWAP Gates 36\u003c\/p\u003e \u003cp\u003e3.3.1.1 Generalization 37\u003c\/p\u003e \u003cp\u003e3.3.2 QMUX Using Controlled-R Gates 37\u003c\/p\u003e \u003cp\u003e3.4 Analysis and Synthesis of Proposed Methodology 39\u003c\/p\u003e \u003cp\u003e3.5 Complexity and Cost of Quantum Circuits 41\u003c\/p\u003e \u003cp\u003e3.6 Conclusion 42\u003c\/p\u003e \u003cp\u003eReferences 42\u003c\/p\u003e \u003cp\u003e\u003cb\u003e4 Artificial Intelligence and Machine Learning Algorithms in Quantum Computing Domain 45\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eSyed Abdul Moeed, P. Niranjan and G. Ashmitha\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e4.1 Introduction 46\u003c\/p\u003e \u003cp\u003e4.1.1 Quantum Computing Convolutional Neural Network 51\u003c\/p\u003e \u003cp\u003e4.2 Literature Survey 52\u003c\/p\u003e \u003cp\u003e4.3 Quantum Algorithms Characteristics Used in Machine Learning Problems 58\u003c\/p\u003e \u003cp\u003e4.3.1 Minimizing Quantum Algorithm 58\u003c\/p\u003e \u003cp\u003e4.3.2 K-NN Algorithm 58\u003c\/p\u003e \u003cp\u003e4.3.3 K-Means Algorithm 60\u003c\/p\u003e \u003cp\u003e4.4 Tree Tensor Networking 61\u003c\/p\u003e \u003cp\u003e4.5 TNN Implementation on IBM Quantum Processor 62\u003c\/p\u003e \u003cp\u003e4.6 Neurotomography 62\u003c\/p\u003e \u003cp\u003e4.7 Conclusion and Future Scope 63\u003c\/p\u003e \u003cp\u003eReferences 64\u003c\/p\u003e \u003cp\u003e\u003cb\u003e5 Building a Virtual Reality-Based Framework for the Education of Autistic Kids 67\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eKanak Pandit, Aditya Mogare, Achal Shah, Prachi Thete and Megharani Patil\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e5.1 Introduction 68\u003c\/p\u003e \u003cp\u003e5.2 Literature Review 71\u003c\/p\u003e \u003cp\u003e5.3 Proposed Work 74\u003c\/p\u003e \u003cp\u003e5.3.1 Methodology 74\u003c\/p\u003e \u003cp\u003e5.3.2 Work Flow of Neural Style Transfer 75\u003c\/p\u003e \u003cp\u003e5.3.3 A-Frame 75\u003c\/p\u003e \u003cp\u003e5.3.3.1 Setting Up the Virtual World and Adding Components 75\u003c\/p\u003e \u003cp\u003e5.3.3.2 Adding Interactivity Through Raycasting 76\u003c\/p\u003e \u003cp\u003e5.3.3.3 Animating the Components 77\u003c\/p\u003e \u003cp\u003e5.3.4 Neural Style Transfer 78\u003c\/p\u003e \u003cp\u003e5.3.4.1 Choosing the Content and Styling Image 79\u003c\/p\u003e \u003cp\u003e5.3.4.2 Image Preprocessing and Generation of a Random Image 79\u003c\/p\u003e \u003cp\u003e5.3.4.3 Model Design and Extraction of Content and Style 81\u003c\/p\u003e \u003cp\u003e5.3.4.4 Loss Calculation 81\u003c\/p\u003e \u003cp\u003e5.3.4.5 Model Optimization 84\u003c\/p\u003e \u003cp\u003e5.4 Evaluation Metrics 86\u003c\/p\u003e \u003cp\u003e5.5 Results 89\u003c\/p\u003e \u003cp\u003e5.5.1 A-Frame 89\u003c\/p\u003e \u003cp\u003e5.5.2 Neural Style Transfer 90\u003c\/p\u003e \u003cp\u003e5.6 Conclusion 90\u003c\/p\u003e \u003cp\u003eReferences 91\u003c\/p\u003e \u003cp\u003e\u003cb\u003e6 Detection of Phishing URLs Using Machine Learning and Deep Learning Models Implementing a URL Feature Extractor 93\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eAbishek Mahesh, Prithvi Seshadri, Shruti Mishra and Sandeep Kumar Satapathy\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e6.1 Introduction 94\u003c\/p\u003e \u003cp\u003e6.2 Related Work 94\u003c\/p\u003e \u003cp\u003e6.3 Proposed Model 95\u003c\/p\u003e \u003cp\u003e6.3.1 URL Feature Extractor 95\u003c\/p\u003e \u003cp\u003e6.3.2 Dataset 103\u003c\/p\u003e \u003cp\u003e6.3.3 Methodologies 104\u003c\/p\u003e \u003cp\u003e6.3.3.1 AdaBoost Classifier 105\u003c\/p\u003e \u003cp\u003e6.3.3.2 Gradient Boosting Classifier 105\u003c\/p\u003e \u003cp\u003e6.3.3.3 K-Nearest Neighbors 105\u003c\/p\u003e \u003cp\u003e6.3.3.4 Logistic Regression 106\u003c\/p\u003e \u003cp\u003e6.3.3.5 Artificial Neural Networks 106\u003c\/p\u003e \u003cp\u003e6.3.3.6 Support Vector Machines (SVM) 107\u003c\/p\u003e \u003cp\u003e6.3.3.7 Naïve Bayes Classifier 107\u003c\/p\u003e \u003cp\u003e6.4 Results 109\u003c\/p\u003e \u003cp\u003e6.5 Conclusions 109\u003c\/p\u003e \u003cp\u003eReferences 109\u003c\/p\u003e \u003cp\u003e\u003cb\u003e7 Detection of Malicious Emails and URLs Using Text Mining 111\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eHeetakshi Fating, Aditya Narawade, Sandeep Kumar Satapathy and Shruti Mishra\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e7.1 Introduction 112\u003c\/p\u003e \u003cp\u003e7.2 Related Works 112\u003c\/p\u003e \u003cp\u003e7.3 Dataset Description 114\u003c\/p\u003e \u003cp\u003e7.4 Proposed Architecture 115\u003c\/p\u003e \u003cp\u003e7.5 Methodology 116\u003c\/p\u003e \u003cp\u003e7.5.1 Methodology for the URL Dataset 116\u003c\/p\u003e \u003cp\u003e7.5.2 Methodology for the Email Dataset 118\u003c\/p\u003e \u003cp\u003e7.5.2.1 Overcoming the Overfitting Problem 118\u003c\/p\u003e \u003cp\u003e7.5.2.2 Tokenization 119\u003c\/p\u003e \u003cp\u003e7.5.2.3 Applying Machine Learning Algorithms 119\u003c\/p\u003e \u003cp\u003e7.5.3 Detecting Presence of Malicious URLs in Otherwise Non-Malicious Emails 119\u003c\/p\u003e \u003cp\u003e7.5.3.1 Preparation of Dataset 119\u003c\/p\u003e \u003cp\u003e7.5.3.2 Creation of Features 120\u003c\/p\u003e \u003cp\u003e7.5.3.3 Applying Machine Learning Algorithms 120\u003c\/p\u003e \u003cp\u003e7.6 Results 120\u003c\/p\u003e \u003cp\u003e7.6.1 URL Dataset 120\u003c\/p\u003e \u003cp\u003e7.6.2 Email Dataset 121\u003c\/p\u003e \u003cp\u003e7.6.3 Final Dataset 121\u003c\/p\u003e \u003cp\u003e7.7 Conclusion 122\u003c\/p\u003e \u003cp\u003eReferences 122\u003c\/p\u003e \u003cp\u003e\u003cb\u003e8 Quantum Data Traffic Analysis for Intrusion Detection System 125\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eAnshul Harish Khatri, Vaibhav Gadag, Simrat Singh, Sandeep Kumar Satapathy and Shruti Mishra\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e8.1 Introduction 126\u003c\/p\u003e \u003cp\u003e8.2 Literature Overview 127\u003c\/p\u003e \u003cp\u003e8.3 Methodology 129\u003c\/p\u003e \u003cp\u003e8.3.1 Autoviz 129\u003c\/p\u003e \u003cp\u003e8.3.2 Dataset 132\u003c\/p\u003e \u003cp\u003e8.3.3 Proposed Models 132\u003c\/p\u003e \u003cp\u003e8.3.3.1 Decision Tree 135\u003c\/p\u003e \u003cp\u003e8.3.3.2 Random Forest Classifier Algorithm 136\u003c\/p\u003e \u003cp\u003e8.3.3.3 AdaBoost Classifier 136\u003c\/p\u003e \u003cp\u003e8.3.3.4 Ridge Classifier 137\u003c\/p\u003e \u003cp\u003e8.3.3.5 Logistic Regression 137\u003c\/p\u003e \u003cp\u003e8.3.3.6 SVM-Linear Kernel 138\u003c\/p\u003e \u003cp\u003e8.3.3.7 Naive Bayes 138\u003c\/p\u003e \u003cp\u003e8.3.3.8 Quadratic Discriminant Analysis 139\u003c\/p\u003e \u003cp\u003e8.4 Results 140\u003c\/p\u003e \u003cp\u003e8.5 Conclusion 141\u003c\/p\u003e \u003cp\u003eReferences 142\u003c\/p\u003e \u003cp\u003e\u003cb\u003e9 Quantum Computing in Netnomy: A Networking Paradigm in e-Pharmaceutical Setting 145\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eSarthak Dash, Sugyanta Priyadarshini, Sachi Nandan Mohanty, Sukanya Priyadarshini and Nisrutha Dulla\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e9.1 Introduction 146\u003c\/p\u003e \u003cp\u003e9.2 Discussion 148\u003c\/p\u003e \u003cp\u003e9.2.1 Exploring Market Functioning via Quantum Network Economy 148\u003c\/p\u003e \u003cp\u003e9.2.1.1 Internal Networking Marketing 149\u003c\/p\u003e \u003cp\u003e9.2.1.2 Layered Marketing 149\u003c\/p\u003e \u003cp\u003e9.2.1.3 Role of Marketing in Pharma Network Organizations 150\u003c\/p\u003e \u003cp\u003e9.2.1.4 Role of Marketing in Vertical Networking Organizations 152\u003c\/p\u003e \u003cp\u003e9.2.1.5 Generic e-Commerce Entity Model in Pharmaceutical Industry 153\u003c\/p\u003e \u003cp\u003e9.2.2 Analyzing the Usability of Quantum Netnomics in Attending Economic Development 154\u003c\/p\u003e \u003cp\u003e9.2.2.1 Theory of 4Ps in Pharma Marketing mix 155\u003c\/p\u003e \u003cp\u003e9.2.2.2 Buying Behavior of the e-Consumers 156\u003c\/p\u003e \u003cp\u003e9.2.2.3 Maintaining of Privacy and Security via Quantum Technology in e-Structure 157\u003c\/p\u003e \u003cp\u003e9.2.2.4 Interface Influencing Sales 157\u003c\/p\u003e \u003cp\u003e9.3 Results 158\u003c\/p\u003e \u003cp\u003e9.4 Conclusion 159\u003c\/p\u003e \u003cp\u003eReferences 159\u003c\/p\u003e \u003cp\u003e\u003cb\u003e10 Machine Learning Approach in the Indian Service Industry: A Case Study on Indian Banks 163\u003cbr\u003e \u003c\/b\u003e\u003ci\u003ePragati Priyadarshinee\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e10.1 Introduction 163\u003c\/p\u003e \u003cp\u003e10.2 Literature Survey 164\u003c\/p\u003e \u003cp\u003e10.3 Experimental Results 170\u003c\/p\u003e \u003cp\u003e10.4 Conclusion 172\u003c\/p\u003e \u003cp\u003eReferences 172\u003c\/p\u003e \u003cp\u003e\u003cb\u003e11 Accelerating Drug Discovery with Quantum Computing 175\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eMahesh V. and Shimil Shijo\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e11.1 Introduction 175\u003c\/p\u003e \u003cp\u003e11.2 Working Nature of Quantum Computers 176\u003c\/p\u003e \u003cp\u003e11.3 Use Cases of Quantum Computing in Drug Discovery 178\u003c\/p\u003e \u003cp\u003e11.4 Target Drug Identification and Validation 179\u003c\/p\u003e \u003cp\u003e11.5 Drug Discovery Using Quantum Computers is Expected to Start by 2030 179\u003c\/p\u003e \u003cp\u003e11.6 Conclusion 180\u003c\/p\u003e \u003cp\u003eReferences 181\u003c\/p\u003e \u003cp\u003e\u003cb\u003e12 Problems and Demanding Situations in Traditional Cryptography: An Insistence for Quantum Computing to Secure Private Information 183\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eD. DShivaprasad, Mohamed Sirajudeen Yoosuf, P. Selvaramalakshmi, Manoj A. Patil and Dasari Promod Kumar\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e12.1 Introduction to Cryptography 184\u003c\/p\u003e \u003cp\u003e12.1.1 Confidentiality 184\u003c\/p\u003e \u003cp\u003e12.1.2 Authentication 185\u003c\/p\u003e \u003cp\u003e12.1.3 Integrity 185\u003c\/p\u003e \u003cp\u003e12.1.4 Non-Repudiation 186\u003c\/p\u003e \u003cp\u003e12.2 Different Types of Cryptography 186\u003c\/p\u003e \u003cp\u003e12.2.1 One-Way Processing 186\u003c\/p\u003e \u003cp\u003e12.2.1.1 Hash Function (One-Way Processing) 186\u003c\/p\u003e \u003cp\u003e12.2.2 Two-Way Processing 187\u003c\/p\u003e \u003cp\u003e12.2.2.1 Symmetric Cryptography 188\u003c\/p\u003e \u003cp\u003e12.2.2.2 Asymmetric Cryptography 189\u003c\/p\u003e \u003cp\u003e12.2.3 Algorithms Types 190\u003c\/p\u003e \u003cp\u003e12.2.3.1 Stream Cipher 190\u003c\/p\u003e \u003cp\u003e12.2.3.2 Block Cipher 191\u003c\/p\u003e \u003cp\u003e12.2.4 Modes of Algorithm 192\u003c\/p\u003e \u003cp\u003e12.2.4.1 Cipher Feedback Mode 192\u003c\/p\u003e \u003cp\u003e12.2.4.2 Output Feedback Mode 192\u003c\/p\u003e \u003cp\u003e12.2.4.3 Cipher Block Chaining Mode 192\u003c\/p\u003e \u003cp\u003e12.2.4.4 Electronic Code Book 192\u003c\/p\u003e \u003cp\u003e12.3 Common Attacks 193\u003c\/p\u003e \u003cp\u003e12.3.1 Passive Attacks 193\u003c\/p\u003e \u003cp\u003e12.3.1.1 Traffic Analysis 193\u003c\/p\u003e \u003cp\u003e12.3.1.2 Eavesdropping 194\u003c\/p\u003e \u003cp\u003e12.3.1.3 Foot Printing 195\u003c\/p\u003e \u003cp\u003e12.3.1.4 War Driving 195\u003c\/p\u003e \u003cp\u003e12.3.1.5 Spying 195\u003c\/p\u003e \u003cp\u003e12.3.2 Active Attacks 196\u003c\/p\u003e \u003cp\u003e12.3.2.1 Denial of Service 196\u003c\/p\u003e \u003cp\u003e12.3.2.2 Distributed Denial of Service (DDOS) 197\u003c\/p\u003e \u003cp\u003e12.3.2.3 Message Modification 197\u003c\/p\u003e \u003cp\u003e12.3.2.4 Masquerade 197\u003c\/p\u003e \u003cp\u003e12.3.2.5 Trojans 198\u003c\/p\u003e \u003cp\u003e12.3.2.6 Replay Attacks 199\u003c\/p\u003e \u003cp\u003e12.3.3 Programming Weapons for the Attackers 199\u003c\/p\u003e \u003cp\u003e12.3.3.1 Dormant Phase 200\u003c\/p\u003e \u003cp\u003e12.3.3.2 Propagation Phase 200\u003c\/p\u003e \u003cp\u003e12.3.3.3 Triggering Phase 201\u003c\/p\u003e \u003cp\u003e12.3.3.4 Execution Phase 201\u003c\/p\u003e \u003cp\u003e12.4 Recent Cyber Attacks 201\u003c\/p\u003e \u003cp\u003e12.5 Drawbacks of Traditional Cryptography 203\u003c\/p\u003e \u003cp\u003e12.5.1 Cost and Time Delay 203\u003c\/p\u003e \u003cp\u003e12.5.2 Disclosure of Mathematical Computation 203\u003c\/p\u003e \u003cp\u003e12.5.3 Unsalted Hashing 204\u003c\/p\u003e \u003cp\u003e12.5.4 Attacks 204\u003c\/p\u003e \u003cp\u003e12.6 Need of Quantum Cryptography 204\u003c\/p\u003e \u003cp\u003e12.6.1 Quantum Mechanics 204\u003c\/p\u003e \u003cp\u003e12.7 Evolution of Quantum Cryptography 205\u003c\/p\u003e \u003cp\u003e12.8 Conclusion and Future Work 205\u003c\/p\u003e \u003cp\u003eReferences 205\u003c\/p\u003e \u003cp\u003e\u003cb\u003e13 Identification of Bacterial Diseases in Plants Using Re-Trained Transfer Learning in Quantum Computing Environment 207\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eSri Silpa Padmanabhuni, B. Srikanth Reddy, A. Mallikarjuna Reddy and K. Sudheer Reddy\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e13.1 Introduction 208\u003c\/p\u003e \u003cp\u003e13.2 Literature Review 218\u003c\/p\u003e \u003cp\u003e13.3 Proposed Methodology 220\u003c\/p\u003e \u003cp\u003e13.3.1 SVM Classifier 222\u003c\/p\u003e \u003cp\u003e13.3.2 Random Forest to Classify the Rice Leaf 223\u003c\/p\u003e \u003cp\u003e13.3.2.1 Image Pre-Processing 223\u003c\/p\u003e \u003cp\u003e13.3.2.2 Feature Extraction 223\u003c\/p\u003e \u003cp\u003e13.3.2.3 Classification 224\u003c\/p\u003e \u003cp\u003e13.4 Experiment Results 226\u003c\/p\u003e \u003cp\u003eConclusion 230\u003c\/p\u003e \u003cp\u003eReferences 230\u003c\/p\u003e \u003cp\u003e\u003cb\u003e14 Quantum Cryptography 233\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eSalma Fauzia\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e14.1 Fundamentals of Cryptography 234\u003c\/p\u003e \u003cp\u003e14.2 Principle of Quantum Cryptography 237\u003c\/p\u003e \u003cp\u003e14.2.1 Quantum vs. Conventional Cryptography 237\u003c\/p\u003e \u003cp\u003e14.3 Quantum Key Distribution Protocols 238\u003c\/p\u003e \u003cp\u003e14.3.1 Overview and BB84 Protocol 238\u003c\/p\u003e \u003cp\u003e14.3.2 The B92 Protocol 240\u003c\/p\u003e \u003cp\u003e14.3.3 E91 Protocol 241\u003c\/p\u003e \u003cp\u003e14.3.4 SARG04 Protocol 243\u003c\/p\u003e \u003cp\u003e14.4 Impact of the Sifting and Distillation Steps on the Key Size 243\u003c\/p\u003e \u003cp\u003e14.5 Cryptanalysis 246\u003c\/p\u003e \u003cp\u003e14.6 Quantum Key Distribution in the Real World 247\u003c\/p\u003e \u003cp\u003eReferences 248\u003c\/p\u003e \u003cp\u003e\u003cb\u003e15 Security Issues in Vehicular Ad Hoc Networks and Quantum Computing 249\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eB. Veera Jyothi, L. Suresh Kumar and B. Surya Samantha\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e15.1 Introduction 250\u003c\/p\u003e \u003cp\u003e15.2 Overview of VANET Security 250\u003c\/p\u003e \u003cp\u003e15.2.1 Security of VANET 250\u003c\/p\u003e \u003cp\u003e15.2.2 Attacks are Classified 251\u003c\/p\u003e \u003cp\u003e15.3 Architectural and Systematic Security Methods 252\u003c\/p\u003e \u003cp\u003e15.3.1 Solutions for Cryptography 252\u003c\/p\u003e \u003cp\u003e15.3.2 Framework for Trust Groups 252\u003c\/p\u003e \u003cp\u003e15.3.3 User Privacy Security System Based on ID 253\u003c\/p\u003e \u003cp\u003e15.4 Suggestions on Particular Security Challenges 254\u003c\/p\u003e \u003cp\u003e15.4.1 Content Delivery Integrity Metrics 254\u003c\/p\u003e \u003cp\u003e15.4.2 Position Detection 254\u003c\/p\u003e \u003cp\u003e15.4.3 Protective Techniques 255\u003c\/p\u003e \u003cp\u003e15.5 Quantum Computing in Vehicular Networks 257\u003c\/p\u003e \u003cp\u003e15.5.1 Securing Automotive Ecosystems: A Challenge 257\u003c\/p\u003e \u003cp\u003e15.5.2 Generation of Quantum Random Numbers (QRNG) 258\u003c\/p\u003e \u003cp\u003e15.6 Quantum Key Transmission (QKD) 258\u003c\/p\u003e \u003cp\u003e15.7 Quantum Internet – A Future Vision 259\u003c\/p\u003e \u003cp\u003e15.7.1 Quantum Internet Applications 259\u003c\/p\u003e \u003cp\u003e15.7.2 Application Usage-Based Categorization 260\u003c\/p\u003e \u003cp\u003e15.8 Conclusions 262\u003c\/p\u003e \u003cp\u003eReferences 263\u003c\/p\u003e \u003cp\u003e\u003cb\u003e16 Quantum Cryptography with an Emphasis on the Security Analysis of QKD Protocols 265\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eRadhika Kavuri, Santhosh Voruganti, Sheena Mohammed, Sucharitha Inapanuri and B. Harish Goud\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e16.1 Introduction 266\u003c\/p\u003e \u003cp\u003e16.2 Basic Terminology and Concepts of Quantum Cryptography 267\u003c\/p\u003e \u003cp\u003e16.2.1 Quantum Cryptography and Quantum Key Distribution 267\u003c\/p\u003e \u003cp\u003e16.2.2 Quantum Computing and Quantum Mechanics 267\u003c\/p\u003e \u003cp\u003e16.2.3 Post-Quantum Cryptography 267\u003c\/p\u003e \u003cp\u003e16.2.4 Quantum Entanglement 267\u003c\/p\u003e \u003cp\u003e16.2.5 Heisenberg’s Uncertainty Principle 268\u003c\/p\u003e \u003cp\u003e16.2.6 Qubits 268\u003c\/p\u003e \u003cp\u003e16.2.7 Polarization 269\u003c\/p\u003e \u003cp\u003e16.2.8 Traditional Cryptography vs. Quantum Cryptography 269\u003c\/p\u003e \u003cp\u003e16.3 Trends in Quantum Cryptography 270\u003c\/p\u003e \u003cp\u003e16.3.1 Global Quantum Key Distribution Links 271\u003c\/p\u003e \u003cp\u003e16.3.2 Research Statistics on Quantum Cryptography 273\u003c\/p\u003e \u003cp\u003e16.4 An Overview of QKD Protocols 274\u003c\/p\u003e \u003cp\u003e16.4.1 Introduction to the Prepare-and-Measure Protocols 275\u003c\/p\u003e \u003cp\u003e16.4.2 The BB84 Protocol 275\u003c\/p\u003e \u003cp\u003e16.4.3 B92 Protocol 278\u003c\/p\u003e \u003cp\u003e16.4.4 Six State Protocol (SSP) 278\u003c\/p\u003e \u003cp\u003e16.4.5 SARG04 Protocol 279\u003c\/p\u003e \u003cp\u003e16.4.6 Introduction to the Entanglement-Based Protocols 280\u003c\/p\u003e \u003cp\u003e16.4.7 The E91 Protocol 280\u003c\/p\u003e \u003cp\u003e16.4.8 The BBM92 Protocol 280\u003c\/p\u003e \u003cp\u003e16.5 Security Concerns in QKD 282\u003c\/p\u003e \u003cp\u003e16.6 Future Research Foresights 284\u003c\/p\u003e \u003cp\u003e16.6.1 Increase in Bit Rate 284\u003c\/p\u003e \u003cp\u003e16.6.2 Longer Distance Coverage 284\u003c\/p\u003e \u003cp\u003e16.6.3 Long Distance Quantum Repeaters 285\u003c\/p\u003e \u003cp\u003e16.6.4 Device Independent Quantum Cryptography 285\u003c\/p\u003e \u003cp\u003e16.6.5 Development of Tools for Simulation and Measurements 285\u003c\/p\u003e \u003cp\u003e16.6.6 Global Quantum Communication Network 285\u003c\/p\u003e \u003cp\u003e16.6.7 Integrated Photonic Spaced QKD 285\u003c\/p\u003e \u003cp\u003e16.6.8 Quantum Teleportation 286\u003c\/p\u003e \u003cp\u003eReferences 286\u003c\/p\u003e \u003cp\u003e\u003cb\u003e17 Deep Learning-Based Quantum System for Human Activity Recognition 289\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eShoba Rani Salvadi, Narsimhulu Pallati and Madhuri T.\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e17.1 Introduction 290\u003c\/p\u003e \u003cp\u003e17.2 Related Works 292\u003c\/p\u003e \u003cp\u003e17.3 Proposed Scheme 293\u003c\/p\u003e \u003cp\u003e17.3.1 Datasets Description 294\u003c\/p\u003e \u003cp\u003e17.3.2 Pre-Processing 294\u003c\/p\u003e \u003cp\u003e17.3.3 Feature Extraction 295\u003c\/p\u003e \u003cp\u003e17.3.4 Preliminaries 295\u003c\/p\u003e \u003cp\u003e17.3.4.1 Quantum Computing 296\u003c\/p\u003e \u003cp\u003e17.3.4.2 Convolutional Neural Networks 296\u003c\/p\u003e \u003cp\u003e17.3.5 Proposed ORQC-CNN Model 296\u003c\/p\u003e \u003cp\u003e17.3.5.1 Quantum Convolutional Layer 297\u003c\/p\u003e \u003cp\u003e17.3.5.2 Convolutional Layer 299\u003c\/p\u003e \u003cp\u003e17.3.5.3 Max-Pooling Layer 299\u003c\/p\u003e \u003cp\u003e17.3.5.4 Fully Connected Layer 299\u003c\/p\u003e \u003cp\u003e17.3.6 Parameter Selection Using Artificial Gorilla Troops Optimization Algorithm (AGTO) 300\u003c\/p\u003e \u003cp\u003e17.3.6.1 Exploration Phase 301\u003c\/p\u003e \u003cp\u003e17.3.6.2 Exploitation Phase 302\u003c\/p\u003e \u003cp\u003e17.3.6.3 Follow the Silverback 303\u003c\/p\u003e \u003cp\u003e17.3.6.4 Competition for Adult Females 303\u003c\/p\u003e \u003cp\u003e17.3.7 Computational Difficulty 304\u003c\/p\u003e \u003cp\u003e17.4 Results and Discussion 304\u003c\/p\u003e \u003cp\u003e17.4.1 Performance Measure 305\u003c\/p\u003e \u003cp\u003e17.4.2 Performance Analysis of Dataset 1 306\u003c\/p\u003e \u003cp\u003e17.4.3 Performance Analysis of Dataset 2 307\u003c\/p\u003e \u003cp\u003e17.4.4 Comparison 308\u003c\/p\u003e \u003cp\u003e17.5 Conclusion 309\u003c\/p\u003e \u003cp\u003eReferences 309\u003c\/p\u003e \u003cp\u003e\u003cb\u003e18 Quantum Intelligent Systems and Deep Learning 313\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eBhagaban Swain and Debasis Gountia\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e18.1 Introduction 313\u003c\/p\u003e \u003cp\u003e18.2 Quantum Support Vector Machine 315\u003c\/p\u003e \u003cp\u003e18.3 Quantum Principal Component Analysis 318\u003c\/p\u003e \u003cp\u003e18.4 Quantum Neural Network 319\u003c\/p\u003e \u003cp\u003e18.5 Variational Quantum Classifier 321\u003c\/p\u003e \u003cp\u003e18.6 Conclusion 323\u003c\/p\u003e \u003cp\u003eReferences 323\u003c\/p\u003e \u003cp\u003eIndex 327\u003c\/p\u003e","brand":"John Wiley \u0026 Sons Inc","offers":[{"title":"Default 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