£124.99

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Springer Quantum Robustness in Artificial Intelligence - Springer Book

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Description

Quantum Robustness in Artificial Intelligence: Principles and Applications offers a comprehensive exploration of how quantum computing principles intersect with artificial intelligence systems, examining the theoretical foundations and practical implementations that strengthen AI algorithms against quantum-level uncertainties and perturbations. This Springer publication, part of the Quantum Science and Technology series, bridges the gap between quantum mechanics and machine learning, providing researchers, academics, and advanced practitioners with essential knowledge on building resilient AI systems in the quantum era. The book covers both foundational principles and real-world applications, making it valuable for those seeking to understand how quantum robustness frameworks can enhance the stability and reliability of artificial intelligence models in increasingly complex computational environments.

Key Features

Quantum Robustness in Artificial Intelligence explores the intersection of quantum computing and machine learning applications.

Published by Springer as part of the Quantum Science and Technology series for academic rigour and authority.

Covers both theoretical principles and practical applications of quantum-robust AI systems.

Designed for researchers and practitioners working in AI, quantum computing, and related computational fields.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
11 April 2026
Listed Since
08 October 2025

Barcode

No barcode data available

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