Quantum Machine Learning

Concepts, Algorithms, and Applications

Syed Nisar Hussain Bukhari

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Hardback

Forthcoming
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English

Auerbach
23 April 2026

Automatic control engineering; Computing: general; Supercomputers; Computer architecture & logic design; Artificial intelligence

In the exploration of new frontiers in data-driven solutions, the potential of quantum-enhanced machine learning has become too important to overlook. Quantum machine learning, though still in its formative stages, holds the promise to tackle some of the most complex problems that lie beyond the reach of classical computing. Quantum Machine Learning: Concepts, Algorithms, and Applications is a guide to understanding such quantum principles as superposition and entanglement and how they can enhance learning algorithms and data processing capabilities. The book features a carefully structured progression from foundational concepts and core algorithms to application-driven case studies and emerging directions for future exploration.

The book provides a broad and in-depth treatment of topics ranging from quantum data encoding and quantum neural networks to hybrid models and optimization frameworks. Emphasis has also been placed on real-world use cases and the practical tools available for implementation, thereby ensuring that this book serves not only as a reference but also as a springboard for experimentation and innovation. Highlights include:

Implementing quantum neural networks on near-term quantum hardware Quantum variational optimization for machine learning Quantum-accelerated neural imputations with large language models Emerging trends, addressing hardware limitations, algorithm optimization, and ethical considerations.

This book serves as both primer and advanced guide by providing essential knowledge for understanding and implementing quantum-enhanced AI solutions in various professional contexts. It equips readers to become active participants in the quantum revolution transforming machine learning.

Edited by: Syed Nisar Hussain Bukhari
Imprint: Auerbach
Country of Publication: United Kingdom
Dimensions: Height: 234mm, Width: 156mm,
ISBN: 9781041136620
ISBN 10: 1041136625
Pages: 384
Publication Date: 23 April 2026
Audience: College/higher education , Professional and scholarly , Primary , Undergraduate
Format: Hardback
Publisher's Status: Forthcoming

Dr. Syed Nisar Hussain Bukhari is an accomplished academician and researcher, currently serving as Scientist-D at the National Institute of Electronics and Information Technology (NIELIT), Srinagar, India. He has more than 12 years of experience in teaching, research, and institutional leadership. His research focuses on artificial intelligence, machine learning, deep learning, and their interdisciplinary applications.