Frontiers in Quantum Computing: New Research

$195.00$362.00

R. Anandan, PhD (Editor) – Professor, Head of the Department of Computer Science and Engineering, Vels Institute of Science, Technology and Advanced Studies, Tamil Nadu, India

Series: Computer Science, Technology and Applications
BISAC: COM097000
DOI: https://doi.org/10.52305/EAUU1757

The 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.

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Table of Contents

Preface

Chapter 1. Programming a Quantum Computer using Python
R. Anandan, Krishnaprasanth B. V., Sai Sucharitha K.
-Department of Computer Science and Engineering, Vels Institute of Science, Technology and Advanced Studies, India

Chapter 2. Blockchain-Based Quantum Key Distribution Approach
M. Karthick, Balakrishna R.
Department of Computer Science and Engineering, Vels Institute of Science, Technology and Advanced Studies, India

Chapter 3. Quantum Computing of PMS Using Machine Learning Algorithms for Revenue Management in Front Office Operations
H. M. Moyeenudin, R. Anandan
-School of Hotel & Catering Management, Vels Institute of Science, Technology and Advanced Studies, (VISTAS), Deemed to be University, Pallavaram, Chennai, India

Chapter 4. Bernstein Vazirani and Deustch Algorithm: Made Easy in Qiskit
R. Anitha, Dr. Vijayalaksmi, C. Rishub, V. Jean Shilpa, S. Anusooya
-B.S. Abdur Rahman Crescent Institute of Science & Technology, India

Chapter 5. Quantum Aided Deep Learning Framework for Motif Structure Prediction
Nithinsha S., Vinod D.
-Saveetha School of Engineering, Chennai, India

Chapter 6. Quantum Behaved Translation Invariant Feature Extraction for Chromosome Classification
Nithinsha S., Vinod D.
-Saveetha School of Engineering, Chennai, India

Chapter 7. Quantum Based Dynamic Clustering of Pharmacovigilance Data
Nithinsha S., Vinod D.
Saveetha School of Engineering, Chennai, India

Chapter 8. Quantum-Based Deep Learning for Multi-Level Grading of Mangoes
Nirmala Gururaj, Viji Vinod, Latha Parthiban
Computer Applications Department, Dr M.G.R Educational & Research Institute, Maduravoyal, Chennai, India

Chapter 9. Efficient Quantum-Based Secure Route Creation and Data Transfer in Mobile Ad-Hoc Networks Using Multi-User Co-Operative Motion Mechanism
K. Pazhanisamy, Dr. Latha Parthiban
Department of Computer Science, Pondicherry University, Pondicherry, India

Chapter 10. Pattern Recognition Accuracy of Echocardiogram Images using Deep Learning Techniques
Ilavazhagi Bala S., Dr. Latha Parthiban
Department of Computer Science, Bharathiar University, Coimbatore, Tamilnadu, India

Index

Additional information

Binding

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