Description
Book SynopsisThe objective of this book is to communicate advancements of knowledge and help disseminate results concerning recent applications and case studies in the area of quantum computing among working professionals and professionals in education and research, covering a broad cross-section of technical disciplines. This book will allow students to explore knowledge in quantum computing to produce serviceable and innocuous systems as well as purposeful systems with cutting-edge technology. To yield computer systems with decent usability, developers must attempt to understand the factors that determine how people use technology. This book will cater to an extensive cross-sectional and multi-disciplinary readership ranging from academics, business delegates, CEOs, communication designers, computer scientists, digital customers, e-decision makers, eLearning environment designers, industrial leaders, industry consultants, key workers, law enforcement agencies, managers, practitioners, professionals, professors, profit/non-profit e-organizations, programmers, R&D/professional research communities, security architects, stakeholders, students, support staff and university researchers/scholars of various communities, such as artificial intelligence, cyber-physical systems, ethics, robotics, safety engineering, safety-critical systems, standardization and certification digital forensics and application domain communities such as aerospace, agriculture, automotive, critical infrastructures, healthcare, manufacturing, retail, smart transports, smart cities and smart healthcare, using real case studies and projecting outcomes, showing the intricate details of quantum computing in these real-life scenarios. As a final point, this book will provide up-to-date, premeditated, and creative information to those engrossed in the field of quantum computing.
Table of ContentsPreface; Programming a Quantum Computer using Python; Blockchain-Based Quantum Key Distribution Approach; Quantum Computing of PMS Using Machine Learning Algorithms for Revenue Management in Front Office Operations; Bernstein Vazirani and Deustch Algorithm: Made Easy in Qiskit; Quantum Aided Deep Learning Framework for Motif Structure Prediction; Quantum Behaved Translation Invariant Feature Extraction for Chromosome Classification; Quantum Based Dynamic Clustering of Pharmacovigilance Data; Quantum-Based Deep Learning for Multi-Level Grading of Mangoes; Efficient Quantum-Based Secure Route Creation and Data Transfer in Mobile Ad-Hoc Networks Using Multi-User Co-Operative Motion Mechanism; Pattern Recognition Accuracy of Echocardiogram Images using Deep Learning Techniques; Index.
