Quantum Learning: Bridging Artificial Intelligence, Quantum Computing, and Data Science in Education
暫譯: 量子學習:在教育中橋接人工智慧、量子計算與數據科學

Whig, Pawan, Sharma, Pavika, A. Elngar, Ahmad

  • 出版商: CRC
  • 出版日期: 2026-05-21
  • 售價: $5,480
  • 貴賓價: 9.5$5,206
  • 語言: 英文
  • 頁數: 188
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 1041037791
  • ISBN-13: 9781041037798
  • 相關分類: Large language model量子計算Python
  • 海外代購書籍(需單獨結帳)

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商品描述

Quantum Learning: Bridging Artificial Intelligence, Quantum Computing, and Data Science in Education explores the transformative intersection of three revolutionary technologies reshaping the future of learning. The concept of quantum learning provides a paradigm where quantum principles redefine machine learning models, enhance computational speed, and enable novel personalized education systems.

The book integrates artificial intelligence (AI), quantum algorithms, and data-driven pedagogy to reimagine classrooms and cognitive processes. Readers will discover how quantum-inspired neural networks, quantum data analysis, and intelligent tutoring systems can revolutionize educational delivery. Through interdisciplinary research, the work translates complex quantum and AI concepts into practical educational applications, featuring case studies and real-world insights that demonstrate how quantum-enhanced intelligence can personalize learning and improve outcomes. The text covers both theoretical frameworks and practical implementation strategies, offering a blueprint for adaptive, scalable learning ecosystems.

This wide-ranging book will appeal to a diverse audience of researchers, educators, technologists, and policymakers seeking to understand and shape the next generation of education innovation. By combining these domains into one book and using an accessible approach, it makes cutting-edge concepts comprehensible to both technical and non-technical readers, positioning it as an essential resource for anyone involved in educational technology, artificial intelligence research, or quantum computing applications in learning environments.

商品描述(中文翻譯)

《量子學習:在教育中橋接人工智慧、量子計算與數據科學》探討了三種革命性技術交匯的變革性影響,這些技術正在重塑學習的未來。量子學習的概念提供了一個範式,其中量子原則重新定義了機器學習模型,提升了計算速度,並使新穎的個性化教育系統成為可能。

本書整合了人工智慧(AI)、量子算法和數據驅動的教學法,以重新構想教室和認知過程。讀者將發現,量子啟發的神經網絡、量子數據分析和智能輔導系統如何徹底改變教育的傳遞方式。通過跨學科的研究,該作品將複雜的量子和AI概念轉化為實用的教育應用,並展示案例研究和現實世界的見解,說明量子增強的智能如何個性化學習並改善學習成果。文本涵蓋了理論框架和實踐實施策略,提供了一個適應性和可擴展的學習生態系統藍圖。

這本範圍廣泛的書籍將吸引多樣化的讀者群,包括研究人員、教育工作者、技術專家和政策制定者,他們希望理解並塑造下一代教育創新。通過將這些領域結合在一本書中並採用易於理解的方法,它使尖端概念對技術和非技術讀者都變得可理解,並將其定位為任何參與教育技術、人工智慧研究或量子計算在學習環境中應用的人的重要資源。

作者簡介

Pawan Whig, a leading expert in artificial intelligence and machine learning, is dedicated to advancing sustainable development. Dr. Whig's groundbreaking research and publications inspire innovative solutions for a greener, more equitable future.

Pavika Sharma is a distinguished researcher in artificial intelligence and machine learning, focusing on sustainable development. Her innovative work explores the intersection of technology and environmental conservation, driving progress towards a sustainable future.

Ahmad A. Elngar is an associate professor and Head of the Computer Science Department at Beni-Suef University. His research focuses on artificial intelligence, machine learning, and data science, with a strong emphasis on developing innovative computational models for education and intelligent systems.

Nuno Silva is the Chief Scientific and Technology Officer at UnifAI Technology, leading innovation at the intersection of artificial intelligence, quantum computing, and data science. His work focuses on advancing intelligent systems that enhance learning, decision-making, and sustainable technological transformation.

作者簡介(中文翻譯)

帕萬·維希(Pawan Whig) 是人工智慧和機器學習領域的領先專家,致力於推動可持續發展。維希博士的開創性研究和出版物激發了為更綠色、更公平的未來提供創新解決方案的靈感。

帕維卡·夏瑪(Pavika Sharma) 是一位傑出的人工智慧和機器學習研究者,專注於可持續發展。她的創新工作探索了技術與環境保護的交集,推動邁向可持續未來的進展。

艾哈邁德·A·艾爾納爾(Ahmad A. Elngar) 是貝尼蘇埃夫大學計算機科學系的副教授及系主任。他的研究專注於人工智慧、機器學習和數據科學,並強調為教育和智能系統開發創新的計算模型。

努諾·席爾瓦(Nuno Silva) 是UnifAI科技公司的首席科學與技術官,領導人工智慧、量子計算和數據科學交匯處的創新。他的工作專注於推進增強學習、決策和可持續技術轉型的智能系統。