Название: Evolution and Applications of Quantum Computing
Автор: Sachi Nandan Mohanty, Rajanikanth Aluvalu, Sarita Mohanty
Издательство: Wiley-Scrivener
Год: 2023
Страниц: 352
Язык: английский
Формат: pdf (true), epub
Размер: 45.6 MB

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. 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 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.

The book begins with the procedure for designing one of the most important combinational circuits, called the quantum multiplexer with secured quantum gate (CSWAP), that aids in implementing quantum entanglement to provide secured communication. Also provided is a description of the pioneering work being done on the interaction between artificial intelligence, machine learning and quantum computing along with their potential role in the world of big data. Next, the book guides you towards detecting malicious emails and URLs by using quantum text mining algorithms and further helps by teaching the algorithm needed to distinguish between phishing and benign sites. Also included is an interesting chapter on application machine learning to detect phishing URLs and the procedure to implement URL feature extractor. Emphasis is placed on the increasing vulnerabilities a system has to cybersecurity attacks in the chapter on quantum data traffic analysis for intrusion detection system. Furthermore, you will find chapters on interdisciplinary fields like quantum computation in Indian banks, netnomy and vehicular ad-hoc networks, virtual reality in education of autistic children, and quantum computing for identifying bacterial diseases and accelerating drug discovery. The book also touches on the critical domain of traditional classical cryptography and quantum cryptography along with their substantial difference and their role in providing a safe and secure communication system.

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