Analysis of Physical Principles of Quantum Computing and Research on Innovative Applications of Artificial Intelligence

DOI

10.2991/978-94-6463-300-9_9How to use a DOI?

Keywords

Quantum computing; Quantum mechanics; Machine learning; Artificial intelligence; Optimization algorithms

Abstract

This manuscript elucidates the fundamental principles of quantum computing and its groundbreaking applications within the realm of artificial intelligence. An initial section of the paper is devoted to providing a comprehensive overview of quantum mechanics, exploring the concept of quantum bits or 'qubits' and their unique properties. This discussion further extends to quantum gates and circuits, illustrating how they function and highlighting the superiority of quantum algorithms over their classical counterparts. Following this, the paper delves into the real-world implications of quantum computing, specifically within the sphere of artificial intelligence. This includes an exploration of its contributions to machine learning, and how quantum computing enhances traditional machine learning algorithms. Additionally, the concept of quantum-inspired optimization algorithms is dissected, shedding light on how these new methods are revolutionizing computational efficiency and accuracy. Despite these promising advancements, the development and scaling of quantum computing technology come with a set of unique challenges, and these are critically discussed. Future directions for the intersection of quantum computing and artificial intelligence are then contemplated, providing insights into where this exciting technology could lead. The objective of this paper is to foster a comprehensive understanding of the state-of-the-art in quantum computing and its pivotal role in driving the future of artificial intelligence.

Copyright

© 2023 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Shiyun Su
PY  - 2023
DA  - 2023/11/27
TI  - Analysis of Physical Principles of Quantum Computing and Research on Innovative Applications of Artificial Intelligence
BT  - Proceedings of the 2023 International Conference on Image, Algorithms and Artificial Intelligence (ICIAAI 2023)
PB  - Atlantis Press
SP  - 82
EP  - 90
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-300-9_9
DO  - 10.2991/978-94-6463-300-9_9
ID  - Su2023
ER  -