Quantum Computing and Quantum Machine Learning for Engineers and Developers

£59.99

Quantum Computing and Quantum Machine Learning for Engineers and Developers

Coding theory and cryptology Quantum physics (quantum mechanics and quantum field theory) Electronics: circuits and components Algorithms and data structures Data encryption Mathematical theory of computation Machine learning

Authors: Jesse The Van Griensven, Roydon Andrew Fraser, Jose Rosas-Bustos

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Collection: Engineering

Language: English

Published by: Springer

Published on: 30th September 2025

Format: LCP-protected ePub

ISBN: 9783031982453


Overview

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 cryptography to high-fidelity simulations, the authors equip readers with the tools they need to develop and deploy quantum-based solutions.

Incorporating practical case studies, industry-standard platforms, and tested pedagogical approaches, this resource speaks to both academic researchers and industry professionals, enabling them to seamlessly integrate quantum technologies into their projects and workflow.

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