finelybook
Emerging Hybrid Models for Neuromorphic AI and Quantum Computing
Author(s): Surbhi Bhatia Khan (Editor), Shikha Khullar (Editor), Muhammad Attique Khan (Editor)
- Publisher finelybook 出版社: Igi Global Scientific Publishing
- Publication Date 出版日期: March 4, 2026
- Language 语言: English
- Print length 页数: 400 pages
- ASIN: B0GSSBMQ12
- ISBN-13: 9798337377797
Book Description
As artificial intelligence (AI) systems confront the limits of classic computing, emerging models that integrate neuromorphic AI with quantum computing create a compelling path forward. Neuromorphic tools inspire the dynamics of the human brain, while quantum computing promises speedups for certain classes of complex optimization and probabilistic problems. By uniting these models, hybrid neuromorphic-quantum models aim to overcome efficiency and learning constraints that challenge each approach in isolation. Emerging Hybrid Models for Neuromorphic AI and Quantum Computing explores two technological revolutions, AI, powered by intricate networks of artificial neurons, and quantum computing, which harnesses the counterintuitive principles of quantum mechanics. It examines the future of computation within sophisticated hybrid models. Covering topics such as AI, quantum computing, and hybrid models, this book is an excellent resource for software developers, technology developers, business organizations, academicians, researchers, and graduate students.
Editorial Reviews
Editorial Reviews
About the Author
Dr. Shikha Khullar is an accomplished academic and researcher with a Ph.D. in Data Mining and Artificial Intelligence. She currently serves as an Associate Professor at Poornima University, where she is recognized for her dedication to academic excellence and her dynamic involvement in radical research. With a deep-rooted passion for innovation and discovery, Dr. Khullar actively engages in interdisciplinary research that bridges technology and real-world applications, particularly in areas such as intelligent systems, smart data analytics, and sustainable digital solutions. Her work is characterized by a forward-thinking approach, where she not only explores theoretical models but also contributes to practical implementations that address pressing societal and industrial challenges. At Poornima University, she has been instrumental in mentoring young minds, guiding Ph.D. scholars, and contributing to curriculum development in emerging areas such as Artificial Intelligence, Blockchain, and Smart Agriculture Technologies. She is the member of IAENG and ERDA.
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PDF, EPUB | 34 MB | 2026-03-27
