Obálka

Quantum Computing and Quantum Machine Learning for Engineers and Developers

This book guides readers from the foundations of quantum mechanics through advanced quantum algorithms (such as Shor’s and Grover’s) and state-of-the-art machine learning methods. By illustrating how these concepts apply to everyday engineering challenges, ranging from complex optimization and crypt...

Celý popis

Uloženo v:
Podrobná bibliografie
Hlavní autoři: Van Griensven Thé, Jesse (Autor), Fraser, Roydon Andrew (Autor), Rosas-Bustos, Jose (Autor)
Korporativní autor: SpringerLink (Online service)
Médium: Elektronický zdroj E-kniha
Jazyk:angličtina
Vydáno: Cham : Springer Nature Switzerland : Imprint: Springer, 2025.
Vydání:1st ed. 2025.
Témata:
Machine learning.
Quantum computers.
Cryptography.
Data encryption (Computer science).
Electronic circuits.
Algorithms.
Machine Learning.
Quantum Computing.
Cryptology.
Electronic Circuits and Systems.
On-line přístup:https://doi.org/10.1007/978-3-031-98245-3
Tagy: Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
Obsah:
  • Introduction to Quantum Computing
  • Fundamentals of Quantum Mechanics
  • Quantum Algorithms
  • Quantum Computing Hardware
  • Introduction to Quantum AI
  • Quantum Data Structures and Encoding
  • Quantum Neural Networks
  • Quantum Optimization Techniques
  • Quantum Communication and Cryptography
  • Tools and Platforms for Quantum Computing
  • Industry Applications of Quantum Computing
  • Future Trends in Quantum AI and Engineering.

Podobné jednotky