Quantum Machine Learning: Revolutionizing Data Analysis and Optimization
暫譯: 量子機器學習：革新數據分析與優化
Dwivedi, Jaiprakash Narain, Shukla, Parag, Joshi, Herat
商品描述
This work offers a structured and in-depth exploration of Quantum Machine Learning (QML), beginning with foundational quantum principles and progressing to advanced QML algorithms such as Quantum SVMs, quantum kernels, and quantum neural networks. It bridges theory with real-world implementation through domain-focused chapters covering finance, healthcare, taxation systems, mobile networks, supply chains, cybersecurity, augmented reality dashboards, and e-commerce. By integrating conceptual clarity with applied frameworks, the book presents practical pathways for leveraging quantum-enhanced intelligence across industries.
The book is intended for researchers, academicians, postgraduate students, industry professionals, data scientists, technology strategists, and policymakers seeking to understand and apply Quantum Machine Learning in advanced research, enterprise systems, and next-generation digital infrastructures.
Key Features:
- Comprises Comprehensive Coverage: Balances foundational theory with practical applications.
- Comprises Cutting-Edge Content: Features the latest research and emerging trends in QML.
- Provides Practical Insights: Includes real-world case studies and examples for applying QML techniques.
- Comprises Expert Authorship: Written by a leading expert with strong academic and industry experience.
商品描述(中文翻譯)
這本書提供了一個結構化且深入的量子機器學習（Quantum Machine Learning, QML）探索，從基礎的量子原理開始，逐步進入先進的 QML 演算法，如量子支持向量機（Quantum SVMs）、量子核（quantum kernels）和量子神經網絡（quantum neural networks）。它通過針對特定領域的章節，涵蓋金融、醫療保健、稅務系統、行動網絡、供應鏈、網絡安全、擴增實境儀表板和電子商務，將理論與實際應用相結合。這本書通過整合概念清晰度與應用框架，提供了在各行各業中利用量子增強智能的實用途徑。
本書的目標讀者包括研究人員、學者、研究生、行業專業人士、數據科學家、技術策略師和政策制定者，旨在幫助他們理解並應用量子機器學習於先進研究、企業系統和下一代數位基礎設施。
主要特色：
- 包含全面的內容：平衡基礎理論與實際應用。
- 包含前沿內容：展示 QML 的最新研究和新興趨勢。
- 提供實用見解：包括現實案例研究和應用 QML 技術的範例。
- 由專家撰寫：由一位在學術和行業中具有豐富經驗的領先專家撰寫。
作者簡介
Jaiprakash Narain Dwivedi, Ph.D., is currently working as an Associate professor, IT Department, Parul Institute of Engineering and Technology, Faculty of Engineering and Technology, Parul University, Vadodara, Gujarat, India. He possesses B.E. (Electronics and Communication Engineering), M. Tech. (Signal Processing), and Ph. D. (Machine Learning from Kyushu Institute of Technology Japan). He has more than 15 years of experience (including academia, industry and research) and his professional activities include roles as associate editor, editorial board member and reviewer of various International Journals. His research publication includes patents, books, book chapters, journals and conference proceedings. He has received, young scientist award and Lifetime achievement awards and his interest in research includes Machine Learning, Artificial Neural Network, Pattern Recognition, Classification, CNN, DNN, Deep Learning and Signal Processing.
Dr. Parag Shukla is an Assistant Professor in Commerce at Maharaja Sayajirao University of Baroda, India, specializing in Marketing Management. He earned his bachelor's and master's degrees from the same university, focusing on Marketing Management. Dr. Shukla's research centers on Retailing, and he has a background in content analysis within the television and media research industry. He teaches management courses at various levels and has published extensively in national and international journals and conferences. His current research project titled "An Empirical Investigation of Experiential Value vis-a-vis Usage Attitude of Selected Mobile Shoppers in Gujarat." Dr. Shukla is notable for receiving the Silver Medal at the 68th International All India Commerce Conference for his research, earning the Best Business Academic of the Year Award, a significant recognition in Indian Education and Retail Industry.
Herat Joshi is a distinguished expert in healthcare technology and informatics with more than 14 years of professional experience, currently serving at the Analytics & Decision Support at Great River Health Systems in Burlington, IA, USA. Apart from that he is member of following, FACHDM - Fellow American College of Health Data Management, Sr. Member of IEEE, Member AHIMA - American Health Information Management Association, Member of AMIA - American Medical Informatics Association, ) He is also serving as Vice Chair IEEE IA-IL Section, Chair at two workgroups in AMIA. Herat has led numerous AI-driven projects, significantly enhancing healthcare delivery and operational efficiency. He has been recognized with multiple awards for his contributions to healthcare informatics, including the Outstanding Leadership Award at the Health 2.0 Conference. He is dedicated to advancing the field of healthcare AI and mentoring the next generation of professionals. His work has been well-received by the healthcare industry and research community.
Pankaj Tripathi is working as an Assistant Professor in the Department of Accounting and Financial Management, Faculty of Commerce, The Maharaja Sayajirao University of Baroda, Vadodara. He has vast experience in academics, worked in different states of India adding varied multicultural experience to his career. He holds PhD in Finance and Accounting. He is recognized PhD guide and 3 scholars are pursuing PhD under his supervision. His areas of expertise include financial accounting, financial economics, business economics and business administration. He has various papers in National and international journals. He is a life member of the Indian Commerce Association and Indian Accounting Association.
作者簡介(中文翻譯)
Jaiprakash Narain Dwivedi 博士，目前擔任印度古吉拉特邦瓦多達拉的帕魯大學工程與技術學院資訊科技系副教授。他擁有電子與通信工程學士學位（B.E.）、信號處理碩士學位（M. Tech.）以及九州科技大學的機器學習博士學位（Ph.D.）。他擁有超過15年的經驗（包括學術界、產業和研究），其專業活動包括擔任多個國際期刊的副編輯、編輯委員會成員和審稿人。他的研究出版物包括專利、書籍、書籍章節、期刊和會議論文。他曾獲得青年科學家獎和終身成就獎，研究興趣包括機器學習、人工神經網絡、模式識別、分類、卷積神經網絡（CNN）、深度神經網絡（DNN）、深度學習和信號處理。
Dr. Parag Shukla 是印度巴羅達的馬哈拉賈薩亞吉拉奧大學商學院的助理教授，專攻市場管理。他在同一所大學獲得了學士和碩士學位，專注於市場管理。Dr. Shukla的研究重點在於零售業，他在電視和媒體研究行業擁有內容分析的背景。他在各個層級教授管理課程，並在國內外期刊和會議上發表了大量論文。他目前的研究項目名為「對古吉拉特州選定移動購物者的體驗價值與使用態度的實證研究」。Dr. Shukla因其研究在第68屆全印度國際商業會議上獲得銀獎，並獲得年度最佳商業學術獎，這在印度教育和零售行業中是一項重要的認可。
Herat Joshi 是一位在醫療科技和資訊學領域的傑出專家，擁有超過14年的專業經驗，目前在美國愛荷華州伯靈頓的Great River Health Systems擔任分析與決策支持部門的職位。此外，他是以下組織的成員：美國健康數據管理學院（FACHDM）院士、IEEE高級會員、美國健康資訊管理協會（AHIMA）成員、美國醫療資訊協會（AMIA）成員。他還擔任IEEE IA-IL分會的副主席，以及AMIA兩個工作組的主席。Herat領導了多個以人工智慧驅動的項目，顯著提升了醫療服務的交付和運營效率。他因對醫療資訊學的貢獻而獲得多項獎項，包括Health 2.0會議的傑出領導獎。他致力於推進醫療AI領域並指導下一代專業人才。他的工作在醫療行業和研究社群中受到廣泛好評。
Pankaj Tripathi 在印度巴羅達的馬哈拉賈薩亞吉拉奧大學商學院會計與財務管理系擔任助理教授。他在學術界擁有豐富的經驗，曾在印度不同州工作，為他的職業生涯增添了多元文化的經歷。他擁有財務與會計的博士學位（PhD），並被認可為博士生導師，目前有3名學者在他的指導下攻讀博士學位。他的專業領域包括財務會計、財務經濟學、商業經濟學和商業管理。他在國內外期刊上發表了多篇論文，是印度商業協會和印度會計協會的終身會員。
