Quantum Machine Learning: Quantum Algorithms and Neural Networks (Quantum Computing)
Author: Pethuru Raj (Editor), Houbing Herbert Song (Editor), Dac-Nhuong Le (Editor), Narayan Vyas (Editor)
Publisher finelybook 出版社: De Gruyter
Edition 版本: 1st
Publication Date 出版日期: 2024-08-05
Language 语言: English
Print Length 页数: 334 pages
ISBN-10: 3111342093
ISBN-13: 9783111342092
Book Description
Quantum computing has shown a potential to tackle specific types of problems, especially those involving a daunting number of variables, at an exponentially faster rate compared to classical computers. This volume focuses on quantum variants of machine learning algorithms, such as quantum neural networks, quantum reinforcement learning, quantum principal component analysis, quantum support vectors, quantum Boltzmann machines, and many more.
About the Author
下载地址
相关推荐
MATLAB® for Brain-Computer Interface Systems: Computation and Data Processing
SOLIDWORKS 2025: A Step-By-Step Tutorial Guide for Beginners (Mixed Units)
Quantum Programming in Depth: Solving problems with Q# and Qiskit
Comprehensive Data Structures and Algorithms in C++: Learn fundamentals with 500+ code samples and problems
Applied TinyML: End-to-end machine learning for microcontrollers with examples
Mastering Network Flow Traffic Analysis: Implementing and analyzing flow data across network topologies for threat detection