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portada Quantum Algorithms for Optimizers. From Core Principles to AI Applications
Type
Physical Book
Publisher
Author
Collection
MOS-SIAM Series on Optimization
Year
2026
Language
English
Pages
273
Format
Paperback
ISBN13
9781611978759

Quantum Algorithms for Optimizers. From Core Principles to AI Applications

Giacomo Nannicini (Author) · SIAM - Society for Industrial and Applied Mathematics · Paperback

Quantum Algorithms for Optimizers. From Core Principles to AI Applications - Giacomo Nannicini

New Book Imported to Taiwan
Delivery: 24 Sep - 02 Oct Shipping: 14 to 15 business days.
NT$ 3,462
NT$ 3,462

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Synopsis "Quantum Algorithms for Optimizers. From Core Principles to AI Applications"

Explores how quantum computing redefines optimization by tackling intricate challenges with rigorous methods and clear insights into computational complexity. This self-contained exploration demystifies conditional gradient techniques and highlights major algorithmic advances in quantum and AI applications.

This book is a self-contained introduction to quantum algorithms with an emphasis on quantum optimization, that is, quantum algorithms to solve optimization problems. The book provides all the tools necessary to understand the benefits and drawbacks of quantum optimization algorithms, paying particular attention to provable guarantees and computational complexity.

The first comprehensive treatment of quantum optimization, Conditional Gradient Methods: From Core Principles to AI Applications provides a rigorous introduction to the computational model of quantum computers, contains detailed discussion of some of the most important developments in quantum optimization algorithms, and summarizes the most important developments in the open literature.

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The binding of this edition is Paperback.

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