Quantum Machine Learning: Concepts, Algorithms, and Applications
暫譯: 量子機器學習：概念、演算法與應用
Bukhari, Syed Nisar Hussain
- 出版商: Auerbach Publication
- 出版日期: 2026-04-23
- 售價: $3,660
- 貴賓價: 9.5 折 $3,477
- 語言: 英文
- 頁數: 330
- 裝訂: Quality Paper - also called trade paper
- ISBN: 1041144652
- ISBN-13: 9781041144656
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相關分類:
量子計算
尚未上市，無法訂購
商品描述
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 the following:
- 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 a primer and an 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.
商品描述(中文翻譯)
在探索數據驅動解決方案的新前沿時，量子增強機器學習的潛力已變得無法忽視。量子機器學習雖然仍處於初步階段，但它承諾能夠解決一些超出傳統計算能力的最複雜問題。《量子機器學習：概念、算法與應用》是一本幫助理解量子原理（如疊加和糾纏）以及它們如何增強學習算法和數據處理能力的指南。這本書從基礎概念和核心算法開始，逐步深入到以應用為驅動的案例研究和未來探索的新方向。
本書對於量子數據編碼、量子神經網絡、混合模型和優化框架等主題提供了廣泛而深入的探討。同時，書中也強調了現實世界的使用案例和可用於實施的實用工具，確保這本書不僅作為參考資料，還能成為實驗和創新的跳板。重點包括：
- 在近期量子硬體上實現量子神經網絡
- 用於機器學習的量子變分優化
- 使用大型語言模型的量子加速神經插補
- 新興趨勢、解決硬體限制、算法優化和倫理考量
這本書既是入門書籍也是進階指南，提供了理解和實施量子增強人工智慧解決方案所需的基本知識，適用於各種專業背景。它使讀者能夠成為正在改變機器學習的量子革命的積極參與者。
作者簡介
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, an institute under the Ministry of Electronics and Information Technology, Government of India. He brings over 12 years of experience in teaching, research, and institutional leadership, with a specialized focus on artificial intelligence, machine learning, deep learning, and their interdisciplinary applications.
Dr. Bukhari completed his bachelor's and master's degrees in computer applications from the University of Kashmir and earned his doctorate in machine learning from the University Institute of Computing, Chandigarh University, in 2022. His research contributions have been published in several high-impact journals, including IEEE Transactions, Nature, Springer, and MDPI. In addition to being published in academic journals, his works have been widely cited in international conferences and book chapters.
He has received multiple best paper awards at various international forums and holds patents for his research innovations. His editorial engagements include authoring and editing books published by CRC Press, Taylor & Francis Group. He is a reviewer for leading journals, such as Scientific Reports (Nature), Computers in Biology and Medicine (Elsevier), and Briefings in Bioinformatics (Oxford University Press), and regularly serves as a session chair in Scopus-indexed international conferences. He serves as an academic editor for PLOS One, a prestigious high-impact-factor journal, where he contributes to the peer review and curation of high-quality interdisciplinary research. Additionally, he served as a guest editor for two thematic collections of the Journal of Visualized Experiments titled "Recent Advancements in Computational Biology and Bioinformatics" and "Next-Gen Computational Techniques in Medical Imaging and Signal Processing," highlighting his engagement with emerging research trends and editorial leadership in the field.
As a faculty member, Dr. Bukhari has taught a wide range of technical subjects, including machine learning, Python, web technologies, and data structures to postgraduate students. He has also led training initiatives in artificial intelligence and emerging technologies for engineering students, professionals, and government stakeholders. Dr. Bukhari headed the Department of Information Technology at NIELIT Srinagar, where he played a key role in strengthening academic undergraduate and postgraduate programs and in providing strategic consultancy to government departments in Jammu and Kashmir on various e-governance initiatives. He is currently serving as Academic Head at NIELIT, Srinagar, and Head, Department of Computer Science and Applications at NIELIT (Deemed-to-Be University), Srinagar Campus.
Known for his collaborative spirit, Dr. Bukhari maintains active research partnerships with institutions across India and abroad. He is a member of the Institution of Electronics and Telecommunication Engineers (IETE) and the International Association of Engineers (IAENG). His professional journey reflects a sustained commitment to research excellence, academic mentorship, and the development of impactful, technology-driven solutions.
作者簡介(中文翻譯)
Syed Nisar Hussain Bukhari 博士 是一位成就卓越的學者和研究者，目前擔任印度電子與資訊技術部下屬的國家電子與資訊技術研究所（NIELIT）Srinagar 的 D 級科學家。他擁有超過 12 年的教學、研究和機構領導經驗，專注於人工智慧、機器學習、深度學習及其跨學科應用。
Bukhari 博士在喀什米爾大學獲得計算機應用的學士和碩士學位，並於 2022 年在昌迪加爾大學的計算機學院獲得機器學習的博士學位。他的研究貢獻已發表在多個高影響力的期刊上，包括 IEEE Transactions、Nature、Springer 和 MDPI。除了在學術期刊上發表外，他的作品也在國際會議和書籍章節中被廣泛引用。
他在各種國際論壇上獲得多個最佳論文獎，並擁有其研究創新相關的專利。他的編輯工作包括撰寫和編輯由 CRC Press 和 Taylor & Francis Group 出版的書籍。他是多個領先期刊的審稿人，如 Scientific Reports（Nature）、Computers in Biology and Medicine（Elsevier）和 Briefings in Bioinformatics（Oxford University Press），並定期擔任 Scopus 索引的國際會議的會議主席。他擔任 PLOS One 的學術編輯，這是一份享有盛譽的高影響因子期刊，負責高品質跨學科研究的同行評審和策劃。此外，他還擔任過 Journal of Visualized Experiments 的兩個主題特刊的客座編輯，主題為「計算生物學和生物資訊學的最新進展」及「醫學影像和信號處理中的下一代計算技術」，突顯了他在新興研究趨勢和編輯領導方面的參與。
作為教職員，Bukhari 博士教授了包括機器學習、Python、網頁技術和資料結構等多種技術科目，面向研究生。他還為工程學生、專業人士和政府利益相關者主導了人工智慧和新興技術的培訓計劃。Bukhari 博士曾任 NIELIT Srinagar 資訊技術系主任，在加強本科和研究生學術課程及為查謨和克什米爾的政府部門提供各種電子治理計劃的戰略諮詢方面發揮了關鍵作用。他目前擔任 NIELIT Srinagar 的學術負責人，以及 NIELIT（被認定為大學）Srinagar 校區計算機科學與應用系的主任。
Bukhari 博士以其合作精神而聞名，與印度及國外的機構保持積極的研究夥伴關係。他是電子與電信工程師學會（IETE）和國際工程師協會（IAENG）的成員。他的職業生涯反映了對研究卓越、學術導師和開發有影響力的技術驅動解決方案的持續承諾。
