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Produktbild: Quantum Machine Learning (QML): Platform, Tools and Applications
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Quantum Machine Learning (QML): Platform, Tools and Applications

Aus der Reihe Advances in Computers
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Beschreibung

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

10.02.2026

Herausgeber

Shiho Kim + weitere

Verlag

Elsevier Science & Technology

Maße (B/H)

15,2/22,8 cm

Gewicht

450 g

Sprache

Englisch

ISBN

978-0-443-22382-2

Beschreibung

Portrait

Shiho Kim is a professor in the school of integrated technology at Yonsei University, Seoul, Korea. His previous assignment includes, System on chip design engineer, at LG Semicon Ltd. (currently SK Hynix), Korea, Seoul [1995-1996], Director of RAVERS (Research center for Advanced Hybrid Electric Vehicle Energy Recovery System, a government-supported IT research center. Associate Director of the ICT consilience program, which is a Korea National program for cultivating talented engineers in the field of information and communication Technology, Korea [2011-2012], Director of Seamless Transportation Lab, at Yonsei university, Korea [since 2011-]. His main research interest includes Development of software and hardware technologies for intelligent vehicles, Blockchain technology for intelligent transportation systems, and reinforcement learning for autonomous vehicles. He is the member of the editorial board and reviewer for various Journals and International conferences. So far he has organized 2 International Conference as Technical Chair/General Chair. He is a member of IEIE (Institute of Electronics and Information Engineers of Korea), KSAE (Korean Society of Automotive Engineers), vice president of KINGC (Korean Institute of Next Generation Computing), and a senior member of IEEE. He is the co-author for over 100 papers and holding more than 50 patents in the area of information and communication technology.
Ganesh Chandra Deka is currently Deputy Director (Training) at Directorate General of Training, Ministry of Skill Development and Entrepreneurship, Government of India, New Delhi-110001, India. His research interests include e-Governance, Big Data Analytics, NoSQL Databases and Vocational Education and Training.

He has 2 books on Cloud Computing published by LAP Lambert, Germany. He is the Co-author for 4 text books on Fundamentals of Computer Science (3 books published by Moni Manik Prakashan, Guwahati, Assam, India and 1 IGI Global, USA). As of now he has edited 14 books (6 IGI Global, USA, 5 CRC Press, USA, 2 Elsevier & 1 Springer) on Big data, NoSQL and Cloud Computing and authored 10 Book Chapters.

He has published around 47 research papers in various IEEE conferences. He has organized 08 IEEE International Conferences as Technical Chair in India. He is the Member of the editorial board and reviewer for various Journals and International conferences. Member of IEEE, the Institution of Electronics and Telecommunication Engineers, India and Associate Member, the Institution of Engineers, India

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

10.02.2026

Herausgeber

Verlag

Elsevier Science & Technology

Maße (B/H)

15,2/22,8 cm

Gewicht

450 g

Sprache

Englisch

ISBN

978-0-443-22382-2

EU-Ansprechpartner

Zeitfracht Medien GmbH
Ferdinand-Jühlke-Straße 7
99095 Erfurt
DE
produktsicherheit@zeitfracht.de

Herstelleradresse

Elsevier Science & Technology
London Wall 125
EC2Y 5AS London
GB
tradeorders@elsevier.com

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  • Produktbild: Quantum Machine Learning (QML): Platform, Tools and Applications
  • 1. Introduction to Quantum Machine Learning (QML)
    2. Quantum Computing Basics
    3. Basic circuits for Quantum Computations
    4. Quantum Machine Learning
    5. Addressing the Gradient Vanishing Problem in Parametrized Quantum Circuit Training and Optimization
    6. Quantum Optimization techniques and applications
    7. Next-Gen Smart Grids: A Quantum Approach
    8. Quantum Monte Carlo simulations
    9. QPDE - Quantum Neural Network Based Stabilization Parameter Prediction for Numerical Solvers for Partial Differential Equations
    10. Transforming Machine Learning: An In-Depth Exploration of Quantum Algorithms and Their Applications