Quantum Machine Learning (Qml): Platform, Tools and Applications: Volume 140
暫譯: 量子機器學習 (Qml):平台、工具與應用:第140卷

Kim, Shiho, Deka, Ganesh Chandra

  • 出版商: Academic Press
  • 出版日期: 2026-02-10
  • 售價: $6,250
  • 貴賓價: 9.5$5,937
  • 語言: 英文
  • 頁數: 314
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 0443223823
  • ISBN-13: 9780443223822
  • 相關分類: 量子計算Machine Learning
  • 海外代購書籍(需單獨結帳)

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商品描述

Quantum Machine Learning (QML): Platform, Tools and Applications, Volume 140 in the Advances in Computers series, explores the intersection of quantum computing and artificial intelligence, highlighting the latest advances that promise to revolutionize computational science. This volume introduces foundational concepts in quantum computing and circuits, building toward the practical implementation of quantum machine learning (QML) algorithms. Chapters address challenges such as the gradient vanishing problem in variational quantum circuits, and explore powerful optimization methods enabled by quantum mechanics. The volume also covers advanced applications including quantum approaches to smart grid management, quantum Monte Carlo simulations, and predictive modeling in numerical solvers using quantum neural networks. Real-world relevance is underscored through discussions of transformative quantum algorithms and their potential to reshape machine learning, enabling unprecedented performance in data analysis, optimization, and beyond.

商品描述(中文翻譯)

量子機器學習 (QML): 平台、工具與應用,第140卷》是《計算機進展》系列的一部分,探討量子計算與人工智慧的交集,突顯最新的進展,這些進展有望徹底改變計算科學。本卷介紹了量子計算和電路的基礎概念,並逐步建立量子機器學習 (QML) 演算法的實際實施。各章節討論了變分量子電路中的梯度消失問題等挑戰,並探討了量子力學所賦予的強大優化方法。本卷還涵蓋了先進的應用,包括量子方法在智慧電網管理中的應用、量子蒙地卡羅模擬,以及使用量子神經網絡的數值解算器中的預測建模。透過對變革性量子演算法及其重塑機器學習潛力的討論,強調了其在數據分析、優化等領域實現前所未有的性能的現實相關性。