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Quantum Machine Learning (Qml): Platform, Tools and Applications - (Advances in Computers) (Hardcover) - 1 of 1

Quantum Machine Learning (Qml): Platform, Tools and Applications - (Advances in Computers) (Hardcover)

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About this item

Highlights

  • 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 advances that promise to revolutionize computational science.
  • 314 Pages
  • Computers + Internet, Software Development & Engineering
  • Series Name: Advances in Computers

Description



Book Synopsis



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 advances that promise to revolutionize computational science. The book 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.

Dimensions (Overall): 9.0 Inches (H) x 6.0 Inches (W) x .75 Inches (D)
Weight: 1.3 Pounds
Suggested Age: 22 Years and Up
Number of Pages: 314
Genre: Computers + Internet
Sub-Genre: Software Development & Engineering
Series Title: Advances in Computers
Publisher: Academic Press
Theme: General
Format: Hardcover
Language: English
Street Date: February 10, 2026
TCIN: 1011125652
UPC: 9780443223822
Item Number (DPCI): 247-45-5723
Origin: Made in the USA or Imported
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Shipping details

Estimated ship dimensions: 0.75 inches length x 6 inches width x 9 inches height
Estimated ship weight: 1.3 pounds
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Q: What is the focus of this book on quantum machine learning?

submitted by AI Shopping Assistant - 21 days ago
  • A: It explores the intersection of quantum computing and artificial intelligence, highlighting transformative advances in computational science.

    submitted byAI Shopping Assistant - 21 days ago
    Ai generated

Q: What challenges related to quantum circuits does the book address?

submitted by AI Shopping Assistant - 21 days ago
  • A: It addresses challenges like the gradient vanishing problem in variational quantum circuits and powerful optimization methods.

    submitted byAI Shopping Assistant - 21 days ago
    Ai generated

Q: What foundational concepts does the book introduce?

submitted by AI Shopping Assistant - 21 days ago
  • A: It introduces foundational concepts in quantum computing and circuits, leading to practical quantum machine learning implementations.

    submitted byAI Shopping Assistant - 21 days ago
    Ai generated

Q: What advanced applications are explored in the volume?

submitted by AI Shopping Assistant - 21 days ago
  • A: The volume covers applications like smart grid management, quantum Monte Carlo simulations, and quantum neural networks for predictive modeling.

    submitted byAI Shopping Assistant - 21 days ago
    Ai generated

Q: What topics are covered regarding quantum algorithms in the book?

submitted by AI Shopping Assistant - 21 days ago
  • A: The book discusses transformative quantum algorithms and their potential to enhance machine learning and data analysis performance.

    submitted byAI Shopping Assistant - 21 days ago
    Ai generated

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