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...

Full description

Bibliographic Details

Main Authors:	Van Griensven Thé, Jesse (Author), Fraser, Roydon Andrew (Author), Rosas-Bustos, Jose (Author)
Corporate Author:	SpringerLink (Online service)
Format:	Electronic eBook
Language:	English
Published:	Cham : Springer Nature Switzerland : Imprint: Springer, 2025.
Edition:	1st ed. 2025.
Subjects:	Machine learning. Quantum computers. Cryptography. Data encryption (Computer science). Electronic circuits. Algorithms. Machine Learning. Quantum Computing. Cryptology. Electronic Circuits and Systems.
Online Access:	https://doi.org/10.1007/978-3-031-98245-3
Tags:	Add Tag No Tags, Be the first to tag this record!