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1. Introduction to Quantum Computing

  • 2025
  • OriginalPaper
  • Chapter
Published in:
Authors
Jesse Van Griensven Thé
Roydon Andrew Fraser
Jose Rosas-Bustos
Published in
Quantum Computing and Quantum Machine Learning for Engineers and Developers
Publisher
Springer Nature Switzerland

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Abstract

This chapter delves into the foundational principles of quantum computing, including superposition, entanglement, and interference, and their applications in optimization, simulations, and machine learning. It explores how quantum computing can revolutionize various engineering fields, such as aerospace, electrical, and civil engineering, by solving complex problems more efficiently than classical systems. The text provides practical examples and case studies, demonstrating the transformative potential of quantum computing in real-world scenarios. Additionally, it discusses the role of quantum computing in advancing machine learning and artificial intelligence, highlighting its ability to accelerate model training and improve predictive analytics. The chapter concludes with insights into the future of quantum computing and its impact on engineering practices.
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next chapter Intro to Quantum Mechanics and Computing
Title
Introduction to Quantum Computing
Authors
Jesse Van Griensven Thé
Roydon Andrew Fraser
Jose Rosas-Bustos
Copyright Year
2025
Book
Quantum Computing and Quantum Machine Learning for Engineers and Developers

Print ISBN: 978-3-031-98244-6

Electronic ISBN: 978-3-031-98245-3

Copyright Year: 2025

DOI
https://doi.org/10.1007/978-3-031-98245-3_1
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