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Quantum Intelligence Engineering: Machine Learning Innovations on Quantum Platforms

Author(s): Ms. Asha VKR Mr. Jinesh V N Ms. Nazia Nusrath UI Ain Ms. Radhika Sreedharan
649

  • Language:
  • English
  • ISBN13:
  • 9789369261178
  • ISBN10:
  • 9369261176
  • Format:
  • Paperback
  • Trim:
  • 8.5x11
  • Pages:
  • 287
  • Publication date:
  • 27-Jun-2026

  •   Available, Ships in 3-5 days
  •   10 Days Replacement Policy

Quantum Intelligence Engineering: Machine Learning Innovations on Quantum Platforms is a practical and comprehensive guide to the convergence of quantum computing, machine learning, and artificial intelligence. Designed for students, researchers, educators, and professionals, it combines clear theoretical explanations with hands-on experiments, quantum circuit design, simulations, and real-world applications. Readers will develop a strong foundation in quantum principles, quantum algorithms, and quantum machine learning while exploring how intelligent quantum systems can address complex computational challenges. This book equips learners with the knowledge and practical skills needed to thrive in the rapidly evolving field of quantum technologies.

Ms. Asha VKR

Ms. Asha VKR

Ms. Asha VKR is an accomplished academician, researcher, and educator with over 22 years of combined experience in industry and academia. She serves as an Assistant Professor in the Department of Electronics and Communication Engineering at S.E.A College of Engineering and Technology (SEACET), Bengaluru. She holds an M.Tech in VLSI and Embedded Systems, an MBA in Human Resources, and a Bachelor's degree in Electronics and Communication Engineering, along with advanced certifications from IIT Mandi and VNIT Nagpur.
Mr. Jinesh V N

Mr. Jinesh V N

Mr. Jinesh V N is an accomplished academician, researcher, and technology professional with over 15 years of teaching experience in Computer Science and Engineering. He is an Assistant Professor at Presidency University, Bengaluru, and the Co-Founder and Chief Technology Officer (CTO) of Anuthanthra Pvt. Ltd. He holds an M.Tech in Computer Science and Engineering from M.S. Ramaiah Institute of Technology (MSRIT), is UGC-NET qualified, and has contributed extensively to research and innovation.
Ms. Nazia Nusrath UI Ain

Ms. Nazia Nusrath UI Ain

Ms. Nazia Nusrath Ul Ain is an accomplished academician, researcher, and educator with over 15 years of teaching experience in Computer Science and Engineering. She is an Assistant Professor in the Department of Computer Science and Engineering (Artificial Intelligence and Machine Learning) at Sai Vidya Institute of Technology, Bengaluru, and is pursuing a Ph.D. at Visvesvaraya Technological University (VTU).
Ms. Radhika Sreedharan

Ms. Radhika Sreedharan

Ms. Radhika Sreedharan is an Assistant Professor in the Department of Computer Science & Engineering, School of Engineering, Presidency University, Bengaluru. She holds an M.Tech and is currently pursuing a Ph.D., with research interests in Cybersecurity and Machine Learning.

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