Call for Chapters: Exploring the Fusion of Quantum Computing and Machine Learning

Editors

Minu R I, SRM Institute of science and Technology, India
Nagarajan G, Sathyabama Institute of Science and Technology in Chennai, India, India
Martin Margala, School of Computing and Informatics University of Louisiana at Lafayette, USA, United States
Siva Shankar Subramanian, KG Reddy College of Engineering and Technology, India
Logashanmugam E, Sathyabama Institute of Science and Technology in Chennai, India, India

Call for Chapters

Proposals Submission Deadline: April 28, 2024
Full Chapters Due: August 11, 2024
Submission Date: August 11, 2024

Introduction

"Quantum Horizons: Transformative Advances in Computing through Machine Learning Algorithms" is a pioneering publication that intricately explores the revolutionary fusion of quantum computing and machine learning. The book navigates through the fundamentals of quantum computing, elucidating the unparalleled capabilities offered by quantum bits (qubits) and delves into the intricacies of quantum algorithms. The primary focus is on practical applications, demonstrating how the integration of quantum computing and machine learning algorithms can unravel new solutions for complex problems, paving the way for unprecedented advancements in various fields.

Objective

In essence, "Quantum Horizons" aims to be a versatile and informative resource for anyone intrigued by the convergence of quantum computing and machine learning, contributing to the dissemination of knowledge in this transformative field.

Target Audience

Researchers and Academics: Providing a comprehensive overview of the latest advancements in quantum computing and machine learning, the book aims to be a valuable resource for researchers and academics looking to deepen their understanding of this interdisciplinary field.

Industry Professionals: Professionals in the technology, finance, healthcare, and artificial intelligence sectors will find practical insights into how quantum computing and machine learning integration can impact and transform their respective industries.

Tech Enthusiasts: The publication is crafted to be accessible to tech enthusiasts with a keen interest in emerging technologies, offering an engaging exploration of the exciting possibilities at the forefront of quantum computing and machine learning.

Students: Whether pursuing undergraduate or graduate studies, students in computer science, physics, or related disciplines can use "Quantum Horizons" as a foundational text to explore the intersection of quantum computing and machine learning, gaining insights into the future of computational technologies.



Recommended Topics

 Quantum machine learning algorithms
 Quantum-inspired classical algorithms
 Quantum neural networks and quantum-enhanced learning models
 Quantum data processing and quantum data representation
 Quantum-enhanced optimization problems
 Quantum simulation for chemistry and physics
 Quantum cryptography and secure machine learning
 Quantum computing in healthcare and finance
 Scalability and error correction in quantum computing
 Interdisciplinary research in quantum machine learning
 Ethical considerations and societal impacts of quantum technologies
 Potential for quantum computing in artificial general intelligence (AGI) and beyond
 Real-world applications of quantum machine learning
 Success stories and challenges faced by researchers and industry professionals
 Benchmarks and comparisons with classical computing approaches
 Quantum cloud computing and quantum-as-a-service (QaaS)
 Quantum machine learning platforms and development tools
 Collaborative efforts between academia, industry, and government in advancing quantum computing and machine learning integration

Submission Procedure

Researchers and practitioners are invited to submit on or before April 28, 2024, a chapter proposal of 1,000 to 2,000 words clearly explaining the mission and concerns of his or her proposed chapter. Authors will be notified by May 12, 2024 about the status of their proposals and sent chapter guidelines.Full chapters are expected to be submitted by August 11, 2024, and all interested authors must consult the guidelines for manuscript submissions at https://www.igi-global.com/publish/contributor-resources/before-you-write/ prior to submission. All submitted chapters will be reviewed on a double-blind review basis. Contributors may also be requested to serve as reviewers for this project.

Note: There are no submission or acceptance fees for manuscripts submitted to this book publication, Exploring the Fusion of Quantum Computing and Machine Learning. All manuscripts are accepted based on a double-blind peer review editorial process.

All proposals should be submitted through the eEditorial Discovery® online submission manager.



Publisher

This book is scheduled to be published by IGI Global (formerly Idea Group Inc.), an international academic publisher of the "Information Science Reference" (formerly Idea Group Reference), "Medical Information Science Reference," "Business Science Reference," and "Engineering Science Reference" imprints. IGI Global specializes in publishing reference books, scholarly journals, and electronic databases featuring academic research on a variety of innovative topic areas including, but not limited to, education, social science, medicine and healthcare, business and management, information science and technology, engineering, public administration, library and information science, media and communication studies, and environmental science. For additional information regarding the publisher, please visit https://www.igi-global.com. This publication is anticipated to be released in 2025.



Important Dates

April 28, 2024: Proposal Submission Deadline
May 12, 2024: Notification of Acceptance
August 11, 2024: Full Chapter Submission
October 13, 2024: Review Results Returned
November 24, 2024: Final Acceptance Notification
December 8, 2024: Final Chapter Submission



Inquiries

Minu R I
SRM Institute of science and Technology
r_i_minu@yahoo.co.in

Nagarajan G
Sathyabama Institute of Science and Technology in Chennai, India
nagarajanme@yahoo.co.in

Classifications


Business and Management; Computer Science and Information Technology; Education; Environmental, Agricultural, and Physical Sciences; Library and Information Science; Medical, Healthcare, and Life Sciences; Media and Communications; Security and Forensics; Social Sciences and Humanities; Science and Engineering
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